1 Notice

This report will no longer be produced after 29 July 2022. It appears some of the data sources continue to be updated and this report will continue if the case data continues to be updated.

2 Introduction

This paper contains estimates for the effective reproduction number \(R_{t,m}\) over time \(t\) in various provinces \(m\) of South Africa. This is done using the methodology as described in [1]. These have been implemented in R using EpiEstim package [2] which is what is used here. The methodology and assumptions are described in more detail here.

This paper and it’s results should be updated roughly daily and is available online.

3 Updates

As this paper is updated over time this section will summarise significant changes. The code producing this paper is tracked using Git. The Git commit hash for this project at the time of generating this paper was 6cab0e089bd06c9688728ab585072be9bce67169.

The following major updates have been made:

  • A major update made on 29 March 2021 was to switch from data based on cases reported as captured in [3] to a data source that contains cases by date the specimen was received [4].
  • A further update on 17 April 2021 was to adjust cases for public holidays and on 18 April 2021 basic testing data was also added.
  • On 30 April 2021 analysis of district municipality data was added.
  • On 2 May 2021 and update was made to include allowance for late reported cases. Instead of only reporting based on cases more than 3 days ago the report was adjusted to use all cases reported to date but specific provisions for late reported cases was added to allow for the fact that cases by specimen received date not complete for the most recent days and are revised upwards over subsequent days.
  • On 15 May 2021 the test results were adjusted as the source indicated tests were by specimen received date. However upon review it became clear the source is supplying tests by reported date and the calculation was adjusted to follow this.
  • On 17 May 2021 a fixed was made for an off by one day error when joining case data to test data when calculating the percentage testing positive.
  • On 29 May 2021 plots related to vaccinations (per [3]) were added to this report.
  • A further update on 29 May 2021 was made. All plots and maps were updated to consistently not plot reproduction number estimates where the 95% confidence interval associated with that estimate is wider than 1.
  • On 1 June 2021 the late reported cases allowance was updated to allow for trends in cases and consequently a weekday adjustment factor was also included in the model.
  • On 13 September 2021 vaccination plots were removed from this report.
  • On 12 December 2021 this was adjusted to allow for longer potential delays in case reporting and various other minor adjustments.
  • On 17 December 2021 trend adjustment was removed from late reported cases as it was producing high case estimates.
  • On 21 December 2021 the following changes were made:
    • Incorporate hospital admissions and hospital deaths reporting.
    • Also estimate \(R_t\) based on hospital admissions and hospital deaths.
    • Add crude ratios based on above.
    • Remove animated map.
  • On 23 December 2021 Excess Deaths were added to this report.
  • On 23 April 2022 Wave 5 was added.
  • On 28 July 2022 a notification about the report possibly ceasing was added.
  • Further tweaks were made on 8 August 2022 to ensure report works with intermittent data.

4 Data

4.1 Data Source

4.1.1 Cases

Case data is extracted from the NICD National COVID-19 Daily Report [4]. This contains the daily cases reported by the NICD for South Africa by province. Data is shown by specimen reported date. Most recent data is excluded due to incomplete reporting of tests in last number of days.

Further data with regard to cases by report date are extracted from [3].

This report contains data as released at 2023-04-02 19:04:34 and contains cases up to specimen received date 2023-03-30.

4.1.2 Hospital Admissions and Hospital Deaths

Hospital admissions and death data is extracted from [3] which captures the NICD Daily Hospital Surveillance (DATCOV) [5]. These contains reported cumulative admissions and cumulative reported hospital deaths on each day. This report contains data as reported up to 2022-12-23.

4.1.3 Excess Deaths

Excess deaths are extracted from [6] and later reports. This report contains data up until the week ending 2022-12-10.

4.2 Data Fixes

4.2.1 Case Data

The following fixes are applied to case data:

  1. Calculate daily new cases from cumulative data captured.
  2. Add records (with 0 case count) in periods where no cases were recorded.
  3. Data reported each day is stored to enable allowance for late reported cases to be estimated.
  4. The sum of the districts do not add up to provinces as not all cases are allocated to a district. These additional cases are allocated in proportion to other cases during 7 days prior (both for historic data and the latest data set).

4.2.2 Hospital Admissions and Hospital Deaths

The daily cumulative admissions and hospital deaths reported in the daily PDFs were captured. There are some inconsistencies in that data though. To correct for this the following adjustments were made:

  1. Public and private figures are aggregated by province and day.
  2. Figures reported on 23 Nov are removed from the analysis as they are much higher than the cumulative figures reported the next day.
  3. Anywhere a cumulative figures that are lower than the day before are removed.
  4. Data capturing issues and the removal of figures under the point in above results in gaps in the daily data. These are filled by linear interpolation of cumulative figures between the available dates.
  5. Incremental daily admissions and hospital deaths are then calculated from the resulting cumulative data.

4.2.3 Excess Deaths

Excess deaths is transformed as follows:

  1. Province and district names are mapped to consistent naming.
  2. Given that all other data is daily, weekly data is converted to daily be uniformly allocating weekly excess deaths to days in the week.

4.3 Allowance for Late Reported Cases

Late reported cases play a role as the data we are using are by specimen received date. Cases are being added to dates in the past as the data gets updated. By keeping data released on a daily basis comparisons can be made to analyse reporting delays. In most cases those are only a couple of days later, but in some cases these are further out.

Late reported claims are estimated using a model that models the reporting of claims as a function of:

  • Delay since specimen received date assuming no cases are reported after 14 days.
  • The delay pattern is assumed to be consistent within provinces but potentially varied by day of week.
  • Province and district
  • The specimen reported date.

Only data that were reported in last 21 days are used, to ensure data reflects recent reporting delay patterns.

No allowance for late reported hopsital admissions and deaths is possible as data is only available by date reported.

4.4 Adjustments for Public Holidays

Public holidays tend to have lower number of cases received and results in distortions of the estimation of the reproduction number over time. Below we attempt to adjust for these discrepancies.

Public holiday dates are obtained from [7]

For each province counts of cases is then modelled as a function of:

  • Week
  • Day of Week
  • Public Holiday

The impact of public holidays are then removed by observing the impact of public holidays in the model and reversing that out in the data. This has the effect of increasing the observed cases on public holidays and reducing them slightly on all other days. This effect is dependent on the province and day of the week.

No adjustments for pulbic holidays are made for admissions and deaths. Data is by date reported which makes this difficult.

5 Methodology

The methodology is described in detail here. Here we estimate the effective reproduction number on cases and admissions but not hospital deaths as the quality of reporting of hospital deaths is not of sufficient quality.

6 Results

6.1 National

6.1.1 Tests

Below raw numbers of test by date reported are plotted. Note this is not by specimen received date, so, for example, no adjustment is made for old cases/tests that were loaded on 23 November 2021. A 7-day moving average is also plotted. No adjustment is made for public holidays for this data.

Tests

Tests

Tests for Last 30 Days

Tests for Last 30 Days

6.1.2 Percentage testing positive

Below the percentage testing positive is plotted by reported date, so, for example, no adjustment is made for old cases/tests that were loaded on 23 November 2021. A 7-day sliding window percentage is also plotted. No adjustment is made for public holidays or delays for this data as the assumption is that the numerator and denominator should be similarly impacted (both are by date reported).

Percentage Testing Positive

Percentage Testing Positive

Percentage Testing Positive for Last 30-days

Percentage Testing Positive for Last 30-days

6.1.3 Allowance for Late Reported Cases

Below the estimations for daily cases are plotted against the cases reported to date for the last 14 days. More recent dates are not fully reported yet and are increased more to the estimated levels.

Reported and Estimated Daily Cases for South Africa

Reported and Estimated Daily Cases for South Africa

6.1.4 Adjustments for Public Holidays to Cases

Cases before and after adjustment for public holidays for South Africa are shown below for last 60 days. Cases are increased on days of public holidays and reduced on other days. Weekends are not impacted significantly.

Further in this report the adjusted cases are used.

Unadjusted and Adjusted Daily Cases for South Africa for last 60 days

Unadjusted and Adjusted Daily Cases for South Africa for last 60 days

6.1.5 Cases

This report uses cases by specimen received date. Below the cases are tabulated by reporting date and how many days before the report date the specimens were received. The “-1” column is the number of cases reported on a particular date where specimens were received the day before the report date. “-2” is the previous day etc.

On some days the report is not run in which case the reported cases may not be stored and thus the calculation below would not be possible. Those dates will be missing from the table.

The data used in the report is mainly captured from [4] as it contains data by specimen received date. Totals from the Department of Health / NICD as captured in [3] are also shown. There are minor differences from time to time.

Tabulation of cases by reporting date and days since specimen received
Report Date -1 -2 -3 -4 -5 -6 -7 Older Total DoH
2023-03-13 94 205 329 132 8 2 3 86 859 866
2023-03-14 NA 0 0 0 0 0 0 3 NA 0
2023-03-15 NA NA 0 0 0 0 0 -9 NA 0
2023-03-16 277 418 508 39 1 2 0 14 1,259 1,259
2023-03-17 NA 0 0 0 0 0 0 -12 NA 0
2023-03-18 NA NA 0 0 0 0 0 5 NA 0
2023-03-19 NA NA NA 0 0 0 0 11 NA 0
2023-03-20 1 0 0 0 0 0 0 -8 -7 1
2023-03-21 220 159 193 343 380 170 2 3 1,470 1,482
2023-03-22 109 85 2 1 0 0 0 -6 191 198
2023-03-23 330 39 4 0 0 0 0 5 378 380
2023-03-24 204 156 1 0 0 0 0 -7 354 359
2023-03-25 169 119 0 0 0 0 0 11 299 296
2023-03-26 NA 0 0 0 0 0 0 3 NA 0
2023-03-27 85 143 89 8 0 0 0 0 325 326
2023-03-28 219 35 5 8 0 0 0 5 272 272
2023-03-29 NA 0 0 0 0 0 0 -5 NA 0
2023-03-30 NA NA 0 0 0 0 0 -7 NA 0
2023-03-31 181 120 5 0 0 0 0 13 319 315
2023-04-01 NA 0 0 0 0 0 0 -15 NA 0
2023-04-02 NA NA 0 0 0 0 0 5 NA 0

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in South Africa by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-11 7,836 11,476 Wave 1 Peak
2021-01-06 23,097 19,374 Wave 2 Peak
2021-07-03 12,487 19,537 Wave 3 Peak
2021-12-12 8,398 21,980 Wave 4 Peak
2022-05-06 8,173 7,575 Wave 5 Peak (to date)

The above are based on the following dates:

  • Wave 1 started on 2020-01-01.
  • Wave 2 started on 2020-10-01.
  • Wave 3 started on 2021-04-01.
  • Wave 4 started on 2021-11-01.
  • Wave 5 started on 2022-04-01.

Below a 7-day moving average daily case is plotted by on a log scale since start of the epidemic. Cases are plotted by specimen received date.

South African Daily Cases (7-day moving average)

South African Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

South African Daily Cases for Last 30-days (7-day moving average)

South African Daily Cases for Last 30-days (7-day moving average)

Below a 7-day moving average daily case count is plotted by province on a log scale since start of the epidemic:

Daily Cases by Province (7-day moving average)

Daily Cases by Province (7-day moving average)

Below the above chart is repeated for the last 30-days:

Daily Cases for Last 30-days by Province (7-day moving average)

Daily Cases for Last 30-days by Province (7-day moving average)

6.1.6 Hospital Admissions

Admissions are tabulated by report date below. A centred 7-day moving average is also shown. The peak daily admissions in previous waves (as measured by the moving average) is also shown.

Tabulation of Hospital Admissions in South Africa by reported date (including peak admissions in prior waves)
Reported Date Hospital Admissions 7-day Moving Average Comment
2020-07-31 694 1,436 Wave 1 Peak
2021-01-24 885 3,677 Wave 2 Peak
2021-07-12 1,890 2,129 Wave 3 Peak
2021-12-21 2,524 1,413 Wave 4 Peak
2022-05-12 537 732 Wave 5 Peak (to date)
2022-12-16 0 34
2022-12-17 25 31
2022-12-18 25 29
2022-12-19 19 27
2022-12-20 56 29
2022-12-21 29 NA
2022-12-22 33 NA
2022-12-23 16 NA

The above are based on the following dates:

  • Wave 1 started on 2020-01-01.
  • Wave 2 started on 2020-10-01.
  • Wave 3 started on 2021-04-01.
  • Wave 4 started on 2021-11-01.
  • Wave 5 started on 2022-04-01.

Below a 7-day moving average of daily hospital admissions is plotted by on a log scale since start of the epidemic. Note admissions are plotted by reported date.

South African Daily Hospital Admissions (7-day moving average)

South African Daily Hospital Admissions (7-day moving average)

Below the above chart is repeated for the last 30-days:

South African Daily Hospital Admissions for Last 30-days (7-day moving average)

South African Daily Hospital Admissions for Last 30-days (7-day moving average)

Below a 7-day moving average daily admissions are plotted by province on a log scale since start of the epidemic:

Daily Hospital Admissions by Province (7-day moving average)

Daily Hospital Admissions by Province (7-day moving average)

Below the above chart is repeated for the last 30-days:

Daily Hospital Admissions for Last 30-days by Province (7-day moving average)

Daily Hospital Admissions for Last 30-days by Province (7-day moving average)

6.1.7 Hospital Deaths

Hospital deaths are tabulated by report date below. A centred 7-day moving average is also shown. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Note that hospital deaths underestimates total COVID-19 deaths in South Africa.

Tabulation of Hospital Deaths in South Africa by reported date (including peak deaths in prior waves)
Reported Date Hospital Deaths 7-day Moving Average Comment
2020-08-04 204 218 Wave 1 Peak
2021-01-14 672 637 Wave 2 Peak
2021-07-23 642 542 Wave 3 Peak
2022-01-09 46 200 Wave 4 Peak
2022-04-17 1 64 Wave 5 Peak (to date)
2022-12-16 0 3
2022-12-17 1 2
2022-12-18 0 2
2022-12-19 1 2
2022-12-20 4 2
2022-12-21 5 NA
2022-12-22 1 NA
2022-12-23 1 NA

The above are based on the following dates:

  • Wave 1 started on 2020-01-01.
  • Wave 2 started on 2020-10-01.
  • Wave 3 started on 2021-04-01.
  • Wave 4 started on 2021-11-01.
  • Wave 5 started on 2022-04-01.

Below a 7-day moving average of daily hospital deaths is plotted by on a log scale since start of the epidemic. Note hospital deaths are plotted by reported date.

Daily Hospital Deaths (7-day moving average)

Daily Hospital Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

South African Daily Hospital Deaths for Last 30-days (7-day moving average)

South African Daily Hospital Deaths for Last 30-days (7-day moving average)

Below a 7-day moving average daily hospital deaths are plotted by province on a log scale since start of the epidemic:

Daily Hospital Deaths by Province (7-day moving average)

Daily Hospital Deaths by Province (7-day moving average)

Below the above chart is repeated for the last 30-days:

Daily Hospital Deaths for Last 30-days by Province (7-day moving average)

Daily Hospital Deaths for Last 30-days by Province (7-day moving average)

6.1.8 Excess Deaths

Excess deaths are tabulated by report date below. A centred 7-day moving average is also shown. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of Excess Deaths in South Africa by Date of Death (including peak deaths in prior waves)
Date of Death Excess Deaths 7-day Moving Average Comment
2020-07-22 954 954 Wave 1 Peak
2021-01-13 2,304 2,304 Wave 2 Peak
2021-07-14 1,479 1,479 Wave 3 Peak
2021-12-29 514 514 Wave 4 Peak
2022-05-25 296 296 Wave 5 Peak (to date)
2022-12-03 78 79
2022-12-04 82 80
2022-12-05 82 81
2022-12-06 82 81
2022-12-07 82 82
2022-12-08 82 NA
2022-12-09 82 NA
2022-12-10 82 NA

The above are based on the following dates:

  • Wave 1 started on 2020-01-01.
  • Wave 2 started on 2020-10-01.
  • Wave 3 started on 2021-04-01.
  • Wave 4 started on 2021-11-01.
  • Wave 5 started on 2022-04-01.

Below a 7-day moving average of daily excess deaths is plotted by on a log scale since start of the epidemic. Note excess deaths are plotted by date of death.

South African Daily Excess Deaths (7-day moving average)

South African Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

South African Daily Excess Deaths for Last 30-days (7-day moving average)

South African Daily Excess Deaths for Last 30-days (7-day moving average)

Below a 7-day moving average daily excess deaths are plotted by province on a log scale since start of the epidemic:

Daily Excess Deaths by Province (7-day moving average)

Daily Excess Deaths by Province (7-day moving average)

Below the above chart is repeated for the last 30-days:

Daily Excess Deaths for Last 30-days by Province (7-day moving average)

Daily Excess Deaths for Last 30-days by Province (7-day moving average)

6.1.9 Cases, Admissions and Deaths Combined

Below a 7-day moving average daily case, admission and excess death counts are plotted by province on a log scale since start of the epidemic. Note admissions and excess deaths are plotted by reported date, whereas cases are plotted by specimen received date.

South African Daily Cases, Admissions and Deaths (7-day moving average)

South African Daily Cases, Admissions and Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

South African Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

South African Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

6.1.10 Crude Ratios per Wave

Below crude rations are calculated between the waves. It’s based on the following starting dates:

  • Wave 1 started on 2020-01-01.
  • Wave 2 started on 2020-10-01.
  • Wave 3 started on 2021-04-01.
  • Wave 4 started on 2021-11-01.
  • Wave 5 started on 2022-04-01.

Below crude ratios are tabulated and plotted. These ratios are:

  • Case admissions ratio calculated as admissions divided by cases.
  • Case fatality ratio calculated as hospital deaths divided by cases (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Case excess deaths ratio calculated as excess deaths divided by cases.
  • Hospital fatality ratio calculated as hospital deaths divided by admissions (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Death reporting ratio calculated as hospital deaths divided by excess deaths.
Tabulation of Crude Ratios by Wave
Wave Case Admission Ratio Case Fatality Ratio Case Excess Deaths Ratio Hospital Fatality Ratio Death Reporting Ratio
South Africa Wave 1 10.2% 1.87% 6.77% 18.3% 27.6%
South Africa Wave 2 20.3% 4.40% 12.36% 21.7% 35.6%
South Africa Wave 3 13.4% 3.10% 8.37% 23.1% 37.0%
South Africa Wave 4 9.8% 0.95% 4.47% 9.7% 21.2%
South Africa Wave 5 10.5% 0.91% 10.77% 8.7% 8.5%

Below the rations above are plotted graphically:

Crude Ratios by Wave

Crude Ratios by Wave

6.1.11 Reproduction Number

Below current (last weekly) effective reproduction number estimates are tabulated for South Africa and by province.

Estimated Effective Reproduction Number for South Africa
Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
South Africa cases 190 2022-12-25 0.91 [0.86 - 0.96]
South Africa hospital_admissions 29 2022-12-23 0.82 [0.71 - 0.94]
Estimated Effective Reproduction Number by Province
Province Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Eastern Cape cases 10 2022-12-25 0.92 [0.72 - 1.15]
Eastern Cape hospital_admissions 3 2022-12-23 1.57 [0.97 - 2.33]
Free State cases 5 2022-12-25 0.79 [0.55 - 1.06]
Free State hospital_admissions 1 2022-12-23 0.84 [0.41 - 1.46]
Gauteng cases 55 2022-12-25 0.86 [0.77 - 0.95]
Gauteng hospital_admissions 7 2022-12-23 0.61 [0.44 - 0.81]
KwaZulu-Natal cases 66 2022-12-25 0.99 [0.90 - 1.09]
KwaZulu-Natal hospital_admissions 9 2022-12-23 0.83 [0.64 - 1.06]
Limpopo cases 3 2022-12-25 1.02 [0.63 - 1.49]
Limpopo hospital_admissions 1 2022-12-23 2.45 [0.77 - 5.15]
Mpumalanga cases 8 2022-12-25 0.91 [0.69 - 1.15]
Mpumalanga hospital_admissions 2 2022-12-13 0.42 [0.24 - 0.67]
North West cases 3 2022-12-25 0.76 [0.49 - 1.10]
North West hospital_admissions 0 2022-09-26 0.53 [0.14 - 1.17]
Northern Cape cases 2 2022-12-25 0.64 [0.34 - 1.02]
Northern Cape hospital_admissions 1 2022-12-23 1.56 [0.50 - 3.19]
Western Cape cases 37 2022-12-25 0.93 [0.82 - 1.04]
Western Cape hospital_admissions 8 2022-12-23 0.96 [0.73 - 1.22]
Estimated Effective Reproduction Number based on Cases by Province

Estimated Effective Reproduction Number based on Cases by Province

Estimated Effective Reproduction Number based on Hospital Admissions by Province

Estimated Effective Reproduction Number based on Hospital Admissions by Province

Estimated Effective Reproduction Number by Province

Estimated Effective Reproduction Number by Province

Below the effective reproduction number for South Africa over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for South Africa over last 90 days

Estimated Effective Reproduction Number Based on Cases for South Africa over last 90 days

Estimated Effective Reproduction Number Based on Cases for South Africa since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for South Africa since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for South Africa over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for South Africa over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for South Africa since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for South Africa since 1 April 2020

Estimated Effective Reproduction Number for South Africa over last 90 days

Estimated Effective Reproduction Number for South Africa over last 90 days

Estimated Effective Reproduction Number for South Africa since 1 April 2020

Estimated Effective Reproduction Number for South Africa since 1 April 2020

6.1.12 Risk Quadrants

The plots below show average daily cases over the last 7-days on the X-axis and the reproduction number on the Y-axis for each district municipality. By dividing this into 4 quadrants we can identify district municipalities with high numbers of cases and high reproduction numbers, or high cases and low reproduction numbers etc.

Values where the reproduction number exceeds 3 are plotted at 3.

Where there are very few cases (on the left of this chart), estimates for the reproduction number are more uncertain and volatile.

Risk Quadrants

6.1.13 Maps

6.1.13.1 Provinces

Below estimates of the reproductive number are plotted on a map of South Africa [8].

6.1.13.2 District Municipalities

Below estimates of the reproductive number by district are plotted on a map of South Africa [8].

6.2 Eastern Cape

6.2.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Eastern Cape by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-06-30 2,592 1,909 Wave 1 Peak
2020-12-08 2,158 1,597 Wave 2 Peak
2021-08-20 2,105 1,750 Wave 3 Peak
2021-12-16 2,065 1,705 Wave 4 Peak
2022-05-15 93 483 Wave 5 Peak (to date)

Below a 7-day moving average daily case count is plotted for Eastern Cape on a log scale since start of the epidemic:

Eastern Cape Daily Cases (7-day moving average)

Eastern Cape Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Eastern Cape Daily Cases for Last 30-days (7-day moving average)

Eastern Cape Daily Cases for Last 30-days (7-day moving average)

Below a 7-day moving average daily case count is plotted for Eastern Cape by district municipality on a log scale since start of the epidemic:

Eastern Cape Daily Cases by District Municipality (7-day moving average)

Eastern Cape Daily Cases by District Municipality (7-day moving average)

Below the above chart is repeated for the last 30-days:

Eastern Cape Daily Cases for Last 30-days by District Municipality (7-day moving average)

Eastern Cape Daily Cases for Last 30-days by District Municipality (7-day moving average)

6.2.2 Hospital Admissions

Hospital admissions are tabulated by reported date below. The peak daily admissions in previous waves (as measured by the moving average) is also shown.

Tabulation of hospital admissions in Eastern Cape by recent reported date (including peak admissions in prior waves)
Reported Date Hospital Admissions 7-day Moving Average Comment
2020-08-15 76 299 Wave 1 Peak
2021-01-24 54 382 Wave 2 Peak
2021-08-27 119 141 Wave 3 Peak
2021-12-21 297 139 Wave 4 Peak
2022-05-20 34 31 Wave 5 Peak (to date)
2022-12-16 0 2
2022-12-17 1 2
2022-12-18 1 3
2022-12-19 1 3
2022-12-20 11 3
2022-12-21 3 NA
2022-12-22 2 NA
2022-12-23 2 NA

Below a 7-day moving average daily hospital admissions count is plotted for Eastern Cape on a log scale since start of the epidemic:

Eastern Cape Daily Hospital Admissions (7-day moving average)

Eastern Cape Daily Hospital Admissions (7-day moving average)

Below the above chart is repeated for the last 30-days:

Eastern Cape Daily Hospital Admissions for Last 30-days (7-day moving average)

Eastern Cape Daily Hospital Admissions for Last 30-days (7-day moving average)

6.2.3 Hospital Deaths

Hospital deaths are tabulated by reported date below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Note that hospital deaths underestimates total COVID-19 deaths in South Africa.

Tabulation of hospital deaths in Eastern Cape by recent reported date (including peak deaths in prior waves)
Reported Date Hospital Deaths 7-day Moving Average Comment
2020-08-15 14 80 Wave 1 Peak
2021-01-09 38 97 Wave 2 Peak
2021-08-25 45 41 Wave 3 Peak
2021-08-27 45 41 Wave 3 Peak
2022-01-03 48 30 Wave 4 Peak
2022-05-20 4 4 Wave 5 Peak (to date)
2022-12-16 0 0
2022-12-17 0 0
2022-12-18 0 0
2022-12-19 0 0
2022-12-20 0 0
2022-12-21 0 NA
2022-12-22 0 NA
2022-12-23 0 NA

Below a 7-day moving average daily hospital deaths count is plotted for Eastern Cape on a log scale since start of the epidemic:

Eastern Cape Daily Hospital Deaths (7-day moving average)

Eastern Cape Daily Hospital Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Eastern Cape Daily Hospital Deaths for Last 30-days (7-day moving average)

Eastern Cape Daily Hospital Deaths for Last 30-days (7-day moving average)

6.2.4 Excess Deaths

Excess deaths are tabulated by date of death below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of excess deaths in Eastern Cape by recent date of death (including peak deaths in prior waves)
Date of Death Excess Deaths 7-day Moving Average Comment
2020-07-15 208 208 Wave 1 Peak
2020-12-23 344 344 Wave 2 Peak
2021-08-25 125 125 Wave 3 Peak
2021-12-29 136 136 Wave 4 Peak
2022-05-04 55 55 Wave 5 Peak (to date)
2022-12-03 23 32
2022-12-04 45 36
2022-12-05 45 39
2022-12-06 45 42
2022-12-07 45 45
2022-12-08 45 NA
2022-12-09 45 NA
2022-12-10 45 NA

Below a 7-day moving average daily excess deaths count is plotted for Eastern Cape on a log scale since start of the epidemic:

Eastern Cape Daily Excess Deaths (7-day moving average)

Eastern Cape Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Eastern Cape Daily Excess Deaths for Last 30-days (7-day moving average)

Eastern Cape Daily Excess Deaths for Last 30-days (7-day moving average)

6.2.5 Cases, Admissions and Deaths Combined

Below a 7-day moving average daily case, admission and excess death counts are plotted for Eastern Cape on a log scale since start of the epidemic. Note admissions and excess deaths are plotted by reported date, whereas cases are plotted by specimen received date.

Eastern Cape Daily Cases, Admissions and Deaths (7-day moving average)

Eastern Cape Daily Cases, Admissions and Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Eastern Cape Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

Eastern Cape Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

6.2.6 Crude Ratios per Wave

Below crude rations are calculated between the waves. It’s based on the following starting dates:

  • Wave 1 started on 2020-01-01.
  • Wave 2 started on 2020-10-01.
  • Wave 3 started on 2021-04-01.
  • Wave 4 started on 2021-11-01.
  • Wave 5 started on 2022-04-01.

Below crude ratios are tabulated and plotted. These ratios are:

  • Case admissions ratio calculated as admissions divided by cases.
  • Case fatality ratio calculated as hospital deaths divided by cases (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Case excess deaths ratio calculated as excess deaths divided by cases.
  • Hospital fatality ratio calculated as hospital deaths divided by admissions (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Death reporting ratio calculated as hospital deaths divided by excess deaths.
Tabulation of Crude Ratios by Wave
Wave Case Admission Ratio Case Fatality Ratio Case Excess Deaths Ratio Hospital Fatality Ratio Death Reporting Ratio
Eastern Cape Wave 1 11.8% 3.30% 11.36% 28.0% 29.1%
Eastern Cape Wave 2 19.5% 6.09% 22.00% 31.2% 27.7%
Eastern Cape Wave 3 10.4% 2.87% 10.92% 27.6% 26.3%
Eastern Cape Wave 4 10.7% 1.77% 15.55% 16.5% 11.4%
Eastern Cape Wave 5 8.4% 0.99% 32.53% 11.8% 3.1%

Below the rations above are plotted graphically:

Crude Ratios by Wave

Crude Ratios by Wave

6.2.7 Reproduction Number

Below current (last weekly) effective reproduction number estimates are tabulated for Eastern Cape and by district municipality.

Estimated Effective Reproduction Number for Eastern Cape
Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Eastern Cape cases 10.4 2022-12-25 0.92 [0.72 - 1.15]
Eastern Cape hospital_admissions 3.0 2022-12-23 1.57 [0.97 - 2.33]
Estimated Effective Reproduction Number for Eastern Cape by District Municipality
District Municipality Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Alfred Nzo cases 0.0 2022-12-25 0.66 [0.02 - 2.47]
Amathole cases 0.1 2022-12-25 0.34 [0.04 - 0.95]
Buffalo City Metro cases 1.3 2022-12-25 1.32 [0.63 - 2.28]
Chris Hani cases 1.4 2022-12-25 1.62 [0.80 - 2.73]
Joe Gqabi cases 0.0 2022-12-25 4.45 [0.11 - 16.47]
Nelson Mandela Bay Metro cases 5.7 2022-12-25 0.92 [0.66 - 1.22]
O R Tambo cases 0.6 2022-12-25 0.98 [0.31 - 2.01]
Sarah Baartman cases 1.3 2022-12-25 1.06 [0.51 - 1.81]
Estimated Effective Reproduction Number for Eastern Cape by District Municipality

Estimated Effective Reproduction Number for Eastern Cape by District Municipality

Below the effective reproduction number for Eastern Cape over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Eastern Cape over last 90 days

Estimated Effective Reproduction Number Based on Cases for Eastern Cape over last 90 days

Estimated Effective Reproduction Number Based on Cases for Eastern Cape since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Eastern Cape since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for Eastern Cape over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for Eastern Cape over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for Eastern Cape since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for Eastern Cape since 1 April 2020

Estimated Effective Reproduction Number for Eastern Cape over last 90 days

Estimated Effective Reproduction Number for Eastern Cape over last 90 days

Estimated Effective Reproduction Number for Eastern Cape since 1 April 2020

Estimated Effective Reproduction Number for Eastern Cape since 1 April 2020

6.2.8 Alfred Nzo

6.2.8.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Alfred Nzo by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-10 68 61 Wave 1 Peak
2020-12-12 26 63 Wave 2 Peak
2021-08-22 11 51 Wave 3 Peak
2021-12-12 10 38 Wave 4 Peak
2022-05-20 6 6 Wave 5 Peak (to date)
2022-05-21 3 6 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Alfred Nzo on a log scale since start of the epidemic:

Alfred Nzo Daily Cases (7-day moving average)

Alfred Nzo Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Alfred Nzo Daily Cases for Last 30-days (7-day moving average)

Alfred Nzo Daily Cases for Last 30-days (7-day moving average)

6.2.8.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Alfred Nzo.

Estimated Effective Reproduction Number for Alfred Nzo
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Alfred Nzo 0 2022-12-25 0.66 [0.02 - 2.47]

Below the effective reproduction number for Alfred Nzo over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Alfred Nzo over last 90 days

Estimated Effective Reproduction Number Based on Cases for Alfred Nzo over last 90 days

Estimated Effective Reproduction Number Based on Cases for Alfred Nzo since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Alfred Nzo since 1 April 2020

6.2.9 Amathole

6.2.9.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Amathole by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-06-29 113 173 Wave 1 Peak
2020-12-13 31 198 Wave 2 Peak
2021-08-26 206 167 Wave 3 Peak
2021-12-14 115 125 Wave 4 Peak
2022-05-14 6 18 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Amathole on a log scale since start of the epidemic:

Amathole Daily Cases (7-day moving average)

Amathole Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Amathole Daily Cases for Last 30-days (7-day moving average)

Amathole Daily Cases for Last 30-days (7-day moving average)

6.2.9.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Amathole.

Estimated Effective Reproduction Number for Amathole
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Amathole 0.1 2022-12-25 0.34 [0.04 - 0.95]

Below the effective reproduction number for Amathole over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Amathole over last 90 days

Estimated Effective Reproduction Number Based on Cases for Amathole over last 90 days

Estimated Effective Reproduction Number Based on Cases for Amathole since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Amathole since 1 April 2020

6.2.10 Buffalo City Metro

6.2.10.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Buffalo City Metro by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-06-29 549 532 Wave 1 Peak
2020-12-13 105 377 Wave 2 Peak
2021-08-26 297 298 Wave 3 Peak
2021-12-13 577 417 Wave 4 Peak
2022-05-05 93 76 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Buffalo City Metro on a log scale since start of the epidemic:

Buffalo City Metro Daily Cases (7-day moving average)

Buffalo City Metro Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Buffalo City Metro Daily Cases for Last 30-days (7-day moving average)

Buffalo City Metro Daily Cases for Last 30-days (7-day moving average)

6.2.10.2 Excess Deaths

Excess deaths are tabulated by date of death below. A centred 7-day moving average is also shown. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Buffalo City Metro by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Excess Deaths 7-day Moving Average Comment
2020-07-15 29 29 Wave 1 Peak
2020-12-23 40 40 Wave 2 Peak
2021-09-08 16 16 Wave 3 Peak
2021-12-22 16 16 Wave 4 Peak
2022-07-27 12 12 Wave 5 Peak (to date)
2022-12-03 5 6
2022-12-04 7 6
2022-12-05 7 6
2022-12-06 7 6
2022-12-07 7 7
2022-12-08 7 NA
2022-12-09 7 NA
2022-12-10 7 NA

Below a 7-day moving average daily excess deaths is plotted for Buffalo City Metro on a log scale since start of the epidemic:

Buffalo City Metro Daily Excess Deaths (7-day moving average)

Buffalo City Metro Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Buffalo City Metro Excess Deaths for Last 30-days (7-day moving average)

Buffalo City Metro Excess Deaths for Last 30-days (7-day moving average)

6.2.10.3 Cases and Excess Deaths Combined

Below a 7-day moving average daily case count and estimated daily excess deaths are plotted for Buffalo City Metro on a log scale since start of the epidemic:

Buffalo City Metro Daily Cases and Excess Deaths (7-day moving average)

Buffalo City Metro Daily Cases and Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Buffalo City Metro Daily Cases and Deaths (if available) for Last 30-days (7-day moving average)

Buffalo City Metro Daily Cases and Deaths (if available) for Last 30-days (7-day moving average)

6.2.10.4 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Buffalo City Metro.

Estimated Effective Reproduction Number for Buffalo City Metro
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Buffalo City Metro 1.3 2022-12-25 1.32 [0.63 - 2.28]

Below the effective reproduction number for Buffalo City Metro over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Buffalo City Metro over last 90 days

Estimated Effective Reproduction Number Based on Cases for Buffalo City Metro over last 90 days

Estimated Effective Reproduction Number Based on Cases for Buffalo City Metro since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Buffalo City Metro since 1 April 2020

6.2.11 Chris Hani

6.2.11.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Chris Hani by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-06-27 149 181 Wave 1 Peak
2020-12-17 175 187 Wave 2 Peak
2021-08-16 245 242 Wave 3 Peak
2021-12-12 32 122 Wave 4 Peak
2022-05-18 54 40 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Chris Hani on a log scale since start of the epidemic:

Chris Hani Daily Cases (7-day moving average)

Chris Hani Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Chris Hani Daily Cases for Last 30-days (7-day moving average)

Chris Hani Daily Cases for Last 30-days (7-day moving average)

6.2.11.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Chris Hani.

Estimated Effective Reproduction Number for Chris Hani
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Chris Hani 1.4 2022-12-25 1.62 [0.80 - 2.73]

Below the effective reproduction number for Chris Hani over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Chris Hani over last 90 days

Estimated Effective Reproduction Number Based on Cases for Chris Hani over last 90 days

Estimated Effective Reproduction Number Based on Cases for Chris Hani since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Chris Hani since 1 April 2020

6.2.12 Joe Gqabi

6.2.12.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Joe Gqabi by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-06 90 76 Wave 1 Peak
2021-01-07 98 114 Wave 2 Peak
2021-08-13 129 138 Wave 3 Peak
2021-12-12 9 64 Wave 4 Peak
2022-05-17 10 10 Wave 5 Peak (to date)
2022-05-19 11 10 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Joe Gqabi on a log scale since start of the epidemic:

Joe Gqabi Daily Cases (7-day moving average)

Joe Gqabi Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Joe Gqabi Daily Cases for Last 30-days (7-day moving average)

Joe Gqabi Daily Cases for Last 30-days (7-day moving average)

6.2.12.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Joe Gqabi.

Estimated Effective Reproduction Number for Joe Gqabi
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Joe Gqabi 0 2022-12-25 4.45 [0.11 - 16.47]

Below the effective reproduction number for Joe Gqabi over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Joe Gqabi over last 90 days

Estimated Effective Reproduction Number Based on Cases for Joe Gqabi over last 90 days

Estimated Effective Reproduction Number Based on Cases for Joe Gqabi since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Joe Gqabi since 1 April 2020

6.2.13 Nelson Mandela Bay Metro

6.2.13.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Nelson Mandela Bay Metro by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-03 613 529 Wave 1 Peak
2020-11-17 821 709 Wave 2 Peak
2021-08-14 389 620 Wave 3 Peak
2021-12-24 777 794 Wave 4 Peak
2022-05-15 43 296 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Nelson Mandela Bay Metro on a log scale since start of the epidemic:

Nelson Mandela Bay Metro Daily Cases (7-day moving average)

Nelson Mandela Bay Metro Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Nelson Mandela Bay Metro Daily Cases for Last 30-days (7-day moving average)

Nelson Mandela Bay Metro Daily Cases for Last 30-days (7-day moving average)

6.2.13.2 Excess Deaths

Excess deaths are tabulated by date of death below. A centred 7-day moving average is also shown. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Nelson Mandela Bay Metro by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Excess Deaths 7-day Moving Average Comment
2020-07-15 40 40 Wave 1 Peak
2020-11-18 65 65 Wave 2 Peak
2021-09-01 31 31 Wave 3 Peak
2022-01-05 18 18 Wave 4 Peak
2022-05-04 10 10 Wave 5 Peak (to date)
2022-12-03 -2 1
2022-12-04 4 2
2022-12-05 4 2
2022-12-06 4 3
2022-12-07 4 4
2022-12-08 4 NA
2022-12-09 4 NA
2022-12-10 4 NA

Below a 7-day moving average daily excess deaths is plotted for Nelson Mandela Bay Metro on a log scale since start of the epidemic:

Nelson Mandela Bay Metro Daily Excess Deaths (7-day moving average)

Nelson Mandela Bay Metro Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Nelson Mandela Bay Metro Excess Deaths for Last 30-days (7-day moving average)

Nelson Mandela Bay Metro Excess Deaths for Last 30-days (7-day moving average)

6.2.13.3 Cases and Excess Deaths Combined

Below a 7-day moving average daily case count and estimated daily excess deaths are plotted for Nelson Mandela Bay Metro on a log scale since start of the epidemic:

Nelson Mandela Bay Metro Daily Cases and Excess Deaths (7-day moving average)

Nelson Mandela Bay Metro Daily Cases and Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Nelson Mandela Bay Metro Daily Cases and Deaths (if available) for Last 30-days (7-day moving average)

Nelson Mandela Bay Metro Daily Cases and Deaths (if available) for Last 30-days (7-day moving average)

6.2.13.4 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Nelson Mandela Bay Metro.

Estimated Effective Reproduction Number for Nelson Mandela Bay Metro
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Nelson Mandela Bay Metro 5.7 2022-12-25 0.92 [0.66 - 1.22]

Below the effective reproduction number for Nelson Mandela Bay Metro over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Nelson Mandela Bay Metro over last 90 days

Estimated Effective Reproduction Number Based on Cases for Nelson Mandela Bay Metro over last 90 days

Estimated Effective Reproduction Number Based on Cases for Nelson Mandela Bay Metro since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Nelson Mandela Bay Metro since 1 April 2020

6.2.14 O R Tambo

6.2.14.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in O R Tambo by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-03 405 310 Wave 1 Peak
2020-12-15 270 231 Wave 2 Peak
2021-08-19 101 101 Wave 3 Peak
2021-12-13 177 123 Wave 4 Peak
2022-05-15 2 7 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for O R Tambo on a log scale since start of the epidemic:

O R Tambo Daily Cases (7-day moving average)

O R Tambo Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

O R Tambo Daily Cases for Last 30-days (7-day moving average)

O R Tambo Daily Cases for Last 30-days (7-day moving average)

6.2.14.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for O R Tambo.

Estimated Effective Reproduction Number for O R Tambo
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
O R Tambo 0.6 2022-12-25 0.98 [0.31 - 2.01]

Below the effective reproduction number for O R Tambo over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for O R Tambo over last 90 days

Estimated Effective Reproduction Number Based on Cases for O R Tambo over last 90 days

Estimated Effective Reproduction Number Based on Cases for O R Tambo since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for O R Tambo since 1 April 2020

6.2.15 Sarah Baartman

6.2.15.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Sarah Baartman by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-06-27 66 131 Wave 1 Peak
2020-11-21 169 287 Wave 2 Peak
2021-08-16 214 285 Wave 3 Peak
2021-12-20 292 251 Wave 4 Peak
2022-05-07 14 62 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Sarah Baartman on a log scale since start of the epidemic:

Sarah Baartman Daily Cases (7-day moving average)

Sarah Baartman Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Sarah Baartman Daily Cases for Last 30-days (7-day moving average)

Sarah Baartman Daily Cases for Last 30-days (7-day moving average)

6.2.15.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Sarah Baartman.

Estimated Effective Reproduction Number for Sarah Baartman
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Sarah Baartman 1.3 2022-12-25 1.06 [0.51 - 1.81]

Below the effective reproduction number for Sarah Baartman over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Sarah Baartman over last 90 days

Estimated Effective Reproduction Number Based on Cases for Sarah Baartman over last 90 days

Estimated Effective Reproduction Number Based on Cases for Sarah Baartman since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Sarah Baartman since 1 April 2020

6.3 Free State

6.3.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Free State by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-20 985 952 Wave 1 Peak
2021-01-14 539 544 Wave 2 Peak
2021-08-22 482 796 Wave 3 Peak
2021-12-13 1,535 1,327 Wave 4 Peak
2022-05-08 115 385 Wave 5 Peak (to date)

Below a 7-day moving average daily case count is plotted for Free State on a log scale since start of the epidemic:

Free State Daily Cases (7-day moving average)

Free State Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Free State Daily Cases for Last 30-days (7-day moving average)

Free State Daily Cases for Last 30-days (7-day moving average)

Below a 7-day moving average daily case count is plotted for Free State by district municipality on a log scale since start of the epidemic:

Free State Daily Cases by District Municipality (7-day moving average)

Free State Daily Cases by District Municipality (7-day moving average)

Below the above chart is repeated for the last 30-days:

Free State Daily Cases for Last 30-days by District Municipality (7-day moving average)

Free State Daily Cases for Last 30-days by District Municipality (7-day moving average)

6.3.2 Hospital Admissions

Hospital admissions are tabulated by reported date below. The peak daily admissions in previous waves (as measured by the moving average) is also shown.

Tabulation of hospital admissions in Free State by recent reported date (including peak admissions in prior waves)
Reported Date Hospital Admissions 7-day Moving Average Comment
2020-07-31 77 116 Wave 1 Peak
2021-01-24 30 236 Wave 2 Peak
2021-08-23 132 106 Wave 3 Peak
2021-12-18 30 90 Wave 4 Peak
2022-05-17 57 41 Wave 5 Peak (to date)
2022-12-16 0 1
2022-12-17 1 1
2022-12-18 1 2
2022-12-19 1 1
2022-12-20 1 1
2022-12-21 3 NA
2022-12-22 2 NA
2022-12-23 0 NA

Below a 7-day moving average daily hospital admissions count is plotted for Free State on a log scale since start of the epidemic:

Free State Daily Hospital Admissions (7-day moving average)

Free State Daily Hospital Admissions (7-day moving average)

Below the above chart is repeated for the last 30-days:

Free State Daily Hospital Admissions for Last 30-days (7-day moving average)

Free State Daily Hospital Admissions for Last 30-days (7-day moving average)

6.3.3 Hospital Deaths

Hospital deaths are tabulated by reported date below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Note that hospital deaths underestimates total COVID-19 deaths in South Africa.

Tabulation of hospital deaths in Free State by recent reported date (including peak deaths in prior waves)
Reported Date Hospital Deaths 7-day Moving Average Comment
2020-07-30 18 24 Wave 1 Peak
2021-01-25 45 34 Wave 2 Peak
2021-06-20 4 29 Wave 3 Peak
2021-12-31 14 11 Wave 4 Peak
2022-06-09 6 3 Wave 5 Peak (to date)
2022-12-16 0 0
2022-12-17 0 0
2022-12-18 0 0
2022-12-19 0 0
2022-12-20 0 0
2022-12-21 1 NA
2022-12-22 0 NA
2022-12-23 0 NA

Below a 7-day moving average daily hospital deaths count is plotted for Free State on a log scale since start of the epidemic:

Free State Daily Hospital Deaths (7-day moving average)

Free State Daily Hospital Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Free State Daily Hospital Deaths for Last 30-days (7-day moving average)

Free State Daily Hospital Deaths for Last 30-days (7-day moving average)

6.3.4 Excess Deaths

Excess deaths are tabulated by date of death below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of excess deaths in Free State by recent date of death (including peak deaths in prior waves)
Date of Death Excess Deaths 7-day Moving Average Comment
2020-07-29 78 78 Wave 1 Peak
2021-01-20 70 70 Wave 2 Peak
2021-07-28 66 66 Wave 3 Peak
2022-01-12 25 25 Wave 4 Peak
2022-05-25 23 23 Wave 5 Peak (to date)
2022-12-03 4 2
2022-12-04 0 2
2022-12-05 0 1
2022-12-06 0 0
2022-12-07 0 0
2022-12-08 0 NA
2022-12-09 0 NA
2022-12-10 0 NA

Below a 7-day moving average daily excess deaths count is plotted for Free State on a log scale since start of the epidemic:

Free State Daily Excess Deaths (7-day moving average)

Free State Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Free State Daily Excess Deaths for Last 30-days (7-day moving average)

Free State Daily Excess Deaths for Last 30-days (7-day moving average)

6.3.5 Cases, Admissions and Deaths Combined

Below a 7-day moving average daily case, admission and excess death counts are plotted for Free State on a log scale since start of the epidemic. Note admissions and excess deaths are plotted by reported date, whereas cases are plotted by specimen received date.

Free State Daily Cases, Admissions and Deaths (7-day moving average)

Free State Daily Cases, Admissions and Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Free State Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

Free State Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

6.3.6 Crude Ratios per Wave

Below crude rations are calculated between the waves. It’s based on the following starting dates:

  • Wave 1 started on 2020-01-01.
  • Wave 2 started on 2020-10-01.
  • Wave 3 started on 2021-04-01.
  • Wave 4 started on 2021-11-01.
  • Wave 5 started on 2022-04-01.

Below crude ratios are tabulated and plotted. These ratios are:

  • Case admissions ratio calculated as admissions divided by cases.
  • Case fatality ratio calculated as hospital deaths divided by cases (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Case excess deaths ratio calculated as excess deaths divided by cases.
  • Hospital fatality ratio calculated as hospital deaths divided by admissions (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Death reporting ratio calculated as hospital deaths divided by excess deaths.
Tabulation of Crude Ratios by Wave
Wave Case Admission Ratio Case Fatality Ratio Case Excess Deaths Ratio Hospital Fatality Ratio Death Reporting Ratio
Free State Wave 1 12.1% 2.21% 7.13% 18.3% 31.0%
Free State Wave 2 23.2% 4.77% 11.03% 20.6% 43.3%
Free State Wave 3 15.4% 3.53% 9.75% 23.0% 36.2%
Free State Wave 4 12.0% 1.16% 5.38% 9.7% 21.7%
Free State Wave 5 12.8% 1.06% 15.32% 8.3% 6.9%

Below the rations above are plotted graphically:

Crude Ratios by Wave

Crude Ratios by Wave

6.3.7 Reproduction Number

Below current (last weekly) effective reproduction number estimates are tabulated for Free State and by district municipality.

Estimated Effective Reproduction Number for Free State
Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Free State cases 5.1 2022-12-25 0.79 [0.55 - 1.06]
Free State hospital_admissions 1.3 2022-12-23 0.84 [0.41 - 1.46]
Estimated Effective Reproduction Number for Free State by District Municipality
District Municipality Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Fezile Dabi cases 0.3 2022-12-25 0.75 [0.15 - 1.82]
Lejweleputswa cases 1.3 2022-12-25 2.17 [1.03 - 3.74]
Mangaung Metro cases 2.4 2022-12-25 0.68 [0.40 - 1.03]
Thabo Mofutsanyane cases 1.1 2022-12-25 0.79 [0.36 - 1.39]
Xhariep cases 0.0 2022-12-25 0.83 [0.02 - 3.10]
Estimated Effective Reproduction Number for Free State by District Municipality

Estimated Effective Reproduction Number for Free State by District Municipality

Below the effective reproduction number for Free State over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Free State over last 90 days

Estimated Effective Reproduction Number Based on Cases for Free State over last 90 days

Estimated Effective Reproduction Number Based on Cases for Free State since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Free State since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for Free State over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for Free State over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for Free State since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for Free State since 1 April 2020

Estimated Effective Reproduction Number for Free State over last 90 days

Estimated Effective Reproduction Number for Free State over last 90 days

Estimated Effective Reproduction Number for Free State since 1 April 2020

Estimated Effective Reproduction Number for Free State since 1 April 2020

6.3.8 Fezile Dabi

6.3.8.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Fezile Dabi by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-21 144 144 Wave 1 Peak
2021-01-07 171 122 Wave 2 Peak
2021-07-04 25 140 Wave 3 Peak
2021-12-11 106 217 Wave 4 Peak
2022-05-06 55 65 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Fezile Dabi on a log scale since start of the epidemic:

Fezile Dabi Daily Cases (7-day moving average)

Fezile Dabi Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Fezile Dabi Daily Cases for Last 30-days (7-day moving average)

Fezile Dabi Daily Cases for Last 30-days (7-day moving average)

6.3.8.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Fezile Dabi.

Estimated Effective Reproduction Number for Fezile Dabi
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Fezile Dabi 0.3 2022-12-25 0.75 [0.15 - 1.82]

Below the effective reproduction number for Fezile Dabi over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Fezile Dabi over last 90 days

Estimated Effective Reproduction Number Based on Cases for Fezile Dabi over last 90 days

Estimated Effective Reproduction Number Based on Cases for Fezile Dabi since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Fezile Dabi since 1 April 2020

6.3.9 Lejweleputswa

6.3.9.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Lejweleputswa by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-21 320 277 Wave 1 Peak
2021-01-14 154 140 Wave 2 Peak
2021-08-23 199 175 Wave 3 Peak
2021-12-16 357 283 Wave 4 Peak
2022-05-13 72 88 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Lejweleputswa on a log scale since start of the epidemic:

Lejweleputswa Daily Cases (7-day moving average)

Lejweleputswa Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Lejweleputswa Daily Cases for Last 30-days (7-day moving average)

Lejweleputswa Daily Cases for Last 30-days (7-day moving average)

6.3.9.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Lejweleputswa.

Estimated Effective Reproduction Number for Lejweleputswa
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Lejweleputswa 1.3 2022-12-25 2.17 [1.03 - 3.74]

Below the effective reproduction number for Lejweleputswa over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Lejweleputswa over last 90 days

Estimated Effective Reproduction Number Based on Cases for Lejweleputswa over last 90 days

Estimated Effective Reproduction Number Based on Cases for Lejweleputswa since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Lejweleputswa since 1 April 2020

6.3.10 Mangaung Metro

6.3.10.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Mangaung Metro by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-20 363 346 Wave 1 Peak
2020-10-14 217 189 Wave 2 Peak
2021-08-20 321 306 Wave 3 Peak
2021-12-13 588 567 Wave 4 Peak
2022-05-13 145 171 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Mangaung Metro on a log scale since start of the epidemic:

Mangaung Metro Daily Cases (7-day moving average)

Mangaung Metro Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Mangaung Metro Daily Cases for Last 30-days (7-day moving average)

Mangaung Metro Daily Cases for Last 30-days (7-day moving average)

6.3.10.2 Excess Deaths

Excess deaths are tabulated by date of death below. A centred 7-day moving average is also shown. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Mangaung Metro by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Excess Deaths 7-day Moving Average Comment
2020-08-19 18 18 Wave 1 Peak
2021-01-20 15 15 Wave 2 Peak
2021-06-09 17 17 Wave 3 Peak
2021-12-29 14 14 Wave 4 Peak
2022-09-07 13 13 Wave 5 Peak (to date)
2022-12-03 4 4
2022-12-04 3 3
2022-12-05 3 3
2022-12-06 3 3
2022-12-07 3 3
2022-12-08 3 NA
2022-12-09 3 NA
2022-12-10 3 NA

Below a 7-day moving average daily excess deaths is plotted for Mangaung Metro on a log scale since start of the epidemic:

Mangaung Metro Daily Excess Deaths (7-day moving average)

Mangaung Metro Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Mangaung Metro Excess Deaths for Last 30-days (7-day moving average)

Mangaung Metro Excess Deaths for Last 30-days (7-day moving average)

6.3.10.3 Cases and Excess Deaths Combined

Below a 7-day moving average daily case count and estimated daily excess deaths are plotted for Mangaung Metro on a log scale since start of the epidemic:

Mangaung Metro Daily Cases and Excess Deaths (7-day moving average)

Mangaung Metro Daily Cases and Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Mangaung Metro Daily Cases and Deaths (if available) for Last 30-days (7-day moving average)

Mangaung Metro Daily Cases and Deaths (if available) for Last 30-days (7-day moving average)

6.3.10.4 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Mangaung Metro.

Estimated Effective Reproduction Number for Mangaung Metro
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Mangaung Metro 2.4 2022-12-25 0.68 [0.40 - 1.03]

Below the effective reproduction number for Mangaung Metro over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Mangaung Metro over last 90 days

Estimated Effective Reproduction Number Based on Cases for Mangaung Metro over last 90 days

Estimated Effective Reproduction Number Based on Cases for Mangaung Metro since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Mangaung Metro since 1 April 2020

6.3.11 Thabo Mofutsanyane

6.3.11.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Thabo Mofutsanyane by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-23 187 177 Wave 1 Peak
2021-01-14 165 168 Wave 2 Peak
2021-08-23 148 147 Wave 3 Peak
2021-12-12 71 242 Wave 4 Peak
2022-05-07 14 59 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Thabo Mofutsanyane on a log scale since start of the epidemic:

Thabo Mofutsanyane Daily Cases (7-day moving average)

Thabo Mofutsanyane Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Thabo Mofutsanyane Daily Cases for Last 30-days (7-day moving average)

Thabo Mofutsanyane Daily Cases for Last 30-days (7-day moving average)

6.3.11.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Thabo Mofutsanyane.

Estimated Effective Reproduction Number for Thabo Mofutsanyane
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Thabo Mofutsanyane 1.1 2022-12-25 0.79 [0.36 - 1.39]

Below the effective reproduction number for Thabo Mofutsanyane over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Thabo Mofutsanyane over last 90 days

Estimated Effective Reproduction Number Based on Cases for Thabo Mofutsanyane over last 90 days

Estimated Effective Reproduction Number Based on Cases for Thabo Mofutsanyane since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Thabo Mofutsanyane since 1 April 2020

6.3.12 Xhariep

6.3.12.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Xhariep by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-09-20 33 39 Wave 1 Peak
2020-10-14 77 46 Wave 2 Peak
2021-08-27 49 53 Wave 3 Peak
2021-12-12 7 76 Wave 4 Peak
2022-05-10 28 18 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Xhariep on a log scale since start of the epidemic:

Xhariep Daily Cases (7-day moving average)

Xhariep Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Xhariep Daily Cases for Last 30-days (7-day moving average)

Xhariep Daily Cases for Last 30-days (7-day moving average)

6.3.12.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Xhariep.

Estimated Effective Reproduction Number for Xhariep
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Xhariep 0 2022-12-25 0.83 [0.02 - 3.10]

Below the effective reproduction number for Xhariep over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Xhariep over last 90 days

Estimated Effective Reproduction Number Based on Cases for Xhariep over last 90 days

Estimated Effective Reproduction Number Based on Cases for Xhariep since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Xhariep since 1 April 2020

6.4 Gauteng

6.4.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Gauteng by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-10 5,681 4,761 Wave 1 Peak
2021-01-06 6,186 5,282 Wave 2 Peak
2021-06-30 14,515 11,252 Wave 3 Peak
2021-12-06 11,793 10,120 Wave 4 Peak
2022-05-06 3,323 3,122 Wave 5 Peak (to date)

Below a 7-day moving average daily case count is plotted for Gauteng on a log scale since start of the epidemic:

Gauteng Daily Cases (7-day moving average)

Gauteng Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Gauteng Daily Cases for Last 30-days (7-day moving average)

Gauteng Daily Cases for Last 30-days (7-day moving average)

Below a 7-day moving average daily case count is plotted for Gauteng by district municipality on a log scale since start of the epidemic:

Gauteng Daily Cases by District Municipality (7-day moving average)

Gauteng Daily Cases by District Municipality (7-day moving average)

Below the above chart is repeated for the last 30-days:

Gauteng Daily Cases for Last 30-days by District Municipality (7-day moving average)

Gauteng Daily Cases for Last 30-days by District Municipality (7-day moving average)

6.4.2 Hospital Admissions

Hospital admissions are tabulated by reported date below. The peak daily admissions in previous waves (as measured by the moving average) is also shown.

Tabulation of hospital admissions in Gauteng by recent reported date (including peak admissions in prior waves)
Reported Date Hospital Admissions 7-day Moving Average Comment
2020-07-30 240 490 Wave 1 Peak
2020-10-08 126 1,311 Wave 2 Peak
2021-07-04 494 925 Wave 3 Peak
2021-12-12 102 512 Wave 4 Peak
2022-05-11 294 451 Wave 5 Peak (to date)
2022-12-16 0 11
2022-12-17 5 8
2022-12-18 5 7
2022-12-19 4 6
2022-12-20 13 7
2022-12-21 6 NA
2022-12-22 10 NA
2022-12-23 4 NA

Below a 7-day moving average daily hospital admissions count is plotted for Gauteng on a log scale since start of the epidemic:

Gauteng Daily Hospital Admissions (7-day moving average)

Gauteng Daily Hospital Admissions (7-day moving average)

Below the above chart is repeated for the last 30-days:

Gauteng Daily Hospital Admissions for Last 30-days (7-day moving average)

Gauteng Daily Hospital Admissions for Last 30-days (7-day moving average)

6.4.3 Hospital Deaths

Hospital deaths are tabulated by reported date below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Note that hospital deaths underestimates total COVID-19 deaths in South Africa.

Tabulation of hospital deaths in Gauteng by recent reported date (including peak deaths in prior waves)
Reported Date Hospital Deaths 7-day Moving Average Comment
2020-08-02 32 63 Wave 1 Peak
2021-01-14 136 155 Wave 2 Peak
2021-06-25 149 244 Wave 3 Peak
2022-01-09 6 33 Wave 4 Peak
2022-04-17 1 50 Wave 5 Peak (to date)
2022-12-16 0 1
2022-12-17 1 1
2022-12-18 0 1
2022-12-19 1 0
2022-12-20 0 1
2022-12-21 1 NA
2022-12-22 0 NA
2022-12-23 1 NA

Below a 7-day moving average daily hospital deaths count is plotted for Gauteng on a log scale since start of the epidemic:

Gauteng Daily Hospital Deaths (7-day moving average)

Gauteng Daily Hospital Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Gauteng Daily Hospital Deaths for Last 30-days (7-day moving average)

Gauteng Daily Hospital Deaths for Last 30-days (7-day moving average)

6.4.4 Excess Deaths

Excess deaths are tabulated by date of death below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of excess deaths in Gauteng by recent date of death (including peak deaths in prior waves)
Date of Death Excess Deaths 7-day Moving Average Comment
2020-07-15 318 318 Wave 1 Peak
2021-01-13 312 312 Wave 2 Peak
2021-07-07 546 546 Wave 3 Peak
2021-12-15 86 86 Wave 4 Peak
2022-05-11 68 68 Wave 5 Peak (to date)
2022-12-03 13 10
2022-12-04 6 9
2022-12-05 6 8
2022-12-06 6 7
2022-12-07 6 6
2022-12-08 6 NA
2022-12-09 6 NA
2022-12-10 6 NA

Below a 7-day moving average daily excess deaths count is plotted for Gauteng on a log scale since start of the epidemic:

Gauteng Daily Excess Deaths (7-day moving average)

Gauteng Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Gauteng Daily Excess Deaths for Last 30-days (7-day moving average)

Gauteng Daily Excess Deaths for Last 30-days (7-day moving average)

6.4.5 Cases, Admissions and Deaths Combined

Below a 7-day moving average daily case, admission and excess death counts are plotted for Gauteng on a log scale since start of the epidemic. Note admissions and excess deaths are plotted by reported date, whereas cases are plotted by specimen received date.

Gauteng Daily Cases, Admissions and Deaths (7-day moving average)

Gauteng Daily Cases, Admissions and Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Gauteng Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

Gauteng Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

6.4.6 Crude Ratios per Wave

Below crude rations are calculated between the waves. It’s based on the following starting dates:

  • Wave 1 started on 2020-01-01.
  • Wave 2 started on 2020-10-01.
  • Wave 3 started on 2021-04-01.
  • Wave 4 started on 2021-11-01.
  • Wave 5 started on 2022-04-01.

Below crude ratios are tabulated and plotted. These ratios are:

  • Case admissions ratio calculated as admissions divided by cases.
  • Case fatality ratio calculated as hospital deaths divided by cases (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Case excess deaths ratio calculated as excess deaths divided by cases.
  • Hospital fatality ratio calculated as hospital deaths divided by admissions (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Death reporting ratio calculated as hospital deaths divided by excess deaths.
Tabulation of Crude Ratios by Wave
Wave Case Admission Ratio Case Fatality Ratio Case Excess Deaths Ratio Hospital Fatality Ratio Death Reporting Ratio
Gauteng Wave 1 8.1% 1.24% 5.81% 15.4% 21.4%
Gauteng Wave 2 23.9% 4.76% 6.64% 19.9% 71.7%
Gauteng Wave 3 12.0% 3.07% 5.97% 25.5% 51.5%
Gauteng Wave 4 7.6% 0.66% 1.22% 8.6% 54.1%
Gauteng Wave 5 10.5% 0.95% 5.12% 9.0% 18.5%

Below the rations above are plotted graphically:

Crude Ratios by Wave

Crude Ratios by Wave

6.4.7 Reproduction Number

Below current (last weekly) effective reproduction number estimates are tabulated for Gauteng and by district municipality.

Estimated Effective Reproduction Number for Gauteng
Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Gauteng cases 55.3 2022-12-25 0.86 [0.77 - 0.95]
Gauteng hospital_admissions 6.7 2022-12-23 0.61 [0.44 - 0.81]
Estimated Effective Reproduction Number for Gauteng by District Municipality
District Municipality Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
City Of Johannesburg Metro cases 27.7 2022-12-25 0.90 [0.77 - 1.03]
City Of Tshwane Metro cases 12.6 2022-12-25 0.73 [0.58 - 0.91]
Ekurhuleni Metro cases 10.0 2022-12-25 1.04 [0.81 - 1.31]
Sedibeng cases 2.6 2022-12-25 0.79 [0.48 - 1.19]
West Rand cases 2.4 2022-12-25 0.82 [0.48 - 1.25]
Estimated Effective Reproduction Number for Gauteng by District Municipality

Estimated Effective Reproduction Number for Gauteng by District Municipality

Below the effective reproduction number for Gauteng over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Gauteng over last 90 days

Estimated Effective Reproduction Number Based on Cases for Gauteng over last 90 days

Estimated Effective Reproduction Number Based on Cases for Gauteng since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Gauteng since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for Gauteng over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for Gauteng over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for Gauteng since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for Gauteng since 1 April 2020

Estimated Effective Reproduction Number for Gauteng over last 90 days

Estimated Effective Reproduction Number for Gauteng over last 90 days

Estimated Effective Reproduction Number for Gauteng since 1 April 2020

Estimated Effective Reproduction Number for Gauteng since 1 April 2020

6.4.8 City Of Johannesburg Metro

6.4.8.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in City Of Johannesburg Metro by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-08 2,214 1,983 Wave 1 Peak
2021-01-06 2,296 1,939 Wave 2 Peak
2021-06-30 5,770 4,459 Wave 3 Peak
2021-12-06 4,947 4,294 Wave 4 Peak
2022-05-05 1,555 1,412 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for City Of Johannesburg Metro on a log scale since start of the epidemic:

City Of Johannesburg Metro Daily Cases (7-day moving average)

City Of Johannesburg Metro Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

City Of Johannesburg Metro Daily Cases for Last 30-days (7-day moving average)

City Of Johannesburg Metro Daily Cases for Last 30-days (7-day moving average)

6.4.8.2 Excess Deaths

Excess deaths are tabulated by date of death below. A centred 7-day moving average is also shown. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in City Of Johannesburg Metro by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Excess Deaths 7-day Moving Average Comment
2020-07-15 113 113 Wave 1 Peak
2021-01-13 96 96 Wave 2 Peak
2021-07-07 207 207 Wave 3 Peak
2021-12-15 29 29 Wave 4 Peak
2022-05-11 28 28 Wave 5 Peak (to date)
2022-12-03 4 5
2022-12-04 6 5
2022-12-05 6 6
2022-12-06 6 6
2022-12-07 6 6
2022-12-08 6 NA
2022-12-09 6 NA
2022-12-10 6 NA

Below a 7-day moving average daily excess deaths is plotted for City Of Johannesburg Metro on a log scale since start of the epidemic:

City Of Johannesburg Metro Daily Excess Deaths (7-day moving average)

City Of Johannesburg Metro Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

City Of Johannesburg Metro Excess Deaths for Last 30-days (7-day moving average)

City Of Johannesburg Metro Excess Deaths for Last 30-days (7-day moving average)

6.4.8.3 Cases and Excess Deaths Combined

Below a 7-day moving average daily case count and estimated daily excess deaths are plotted for City Of Johannesburg Metro on a log scale since start of the epidemic:

City Of Johannesburg Metro Daily Cases and Excess Deaths (7-day moving average)

City Of Johannesburg Metro Daily Cases and Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

City Of Johannesburg Metro Daily Cases and Deaths (if available) for Last 30-days (7-day moving average)

City Of Johannesburg Metro Daily Cases and Deaths (if available) for Last 30-days (7-day moving average)

6.4.8.4 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for City Of Johannesburg Metro.

Estimated Effective Reproduction Number for City Of Johannesburg Metro
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
City Of Johannesburg Metro 27.7 2022-12-25 0.90 [0.77 - 1.03]

Below the effective reproduction number for City Of Johannesburg Metro over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for City Of Johannesburg Metro over last 90 days

Estimated Effective Reproduction Number Based on Cases for City Of Johannesburg Metro over last 90 days

Estimated Effective Reproduction Number Based on Cases for City Of Johannesburg Metro since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for City Of Johannesburg Metro since 1 April 2020

6.4.9 City Of Tshwane Metro

6.4.9.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in City Of Tshwane Metro by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-11 842 1,042 Wave 1 Peak
2021-01-06 2,037 1,728 Wave 2 Peak
2021-07-01 4,151 3,037 Wave 3 Peak
2021-12-03 3,149 2,911 Wave 4 Peak
2022-05-06 830 812 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for City Of Tshwane Metro on a log scale since start of the epidemic:

City Of Tshwane Metro Daily Cases (7-day moving average)

City Of Tshwane Metro Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

City Of Tshwane Metro Daily Cases for Last 30-days (7-day moving average)

City Of Tshwane Metro Daily Cases for Last 30-days (7-day moving average)

6.4.9.2 Excess Deaths

Excess deaths are tabulated by date of death below. A centred 7-day moving average is also shown. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in City Of Tshwane Metro by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Excess Deaths 7-day Moving Average Comment
2020-07-15 43 43 Wave 1 Peak
2021-01-06 91 91 Wave 2 Peak
2021-07-14 105 105 Wave 3 Peak
2021-12-08 14 14 Wave 4 Peak
2022-05-11 9 9 Wave 5 Peak (to date)
2022-12-03 -5 -3
2022-12-04 1 -2
2022-12-05 1 -1
2022-12-06 1 0
2022-12-07 1 1
2022-12-08 1 NA
2022-12-09 1 NA
2022-12-10 1 NA

Below a 7-day moving average daily excess deaths is plotted for City Of Tshwane Metro on a log scale since start of the epidemic:

City Of Tshwane Metro Daily Excess Deaths (7-day moving average)

City Of Tshwane Metro Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

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City Of Tshwane Metro Excess Deaths for Last 30-days (7-day moving average)

City Of Tshwane Metro Excess Deaths for Last 30-days (7-day moving average)

6.4.9.3 Cases and Excess Deaths Combined

Below a 7-day moving average daily case count and estimated daily excess deaths are plotted for City Of Tshwane Metro on a log scale since start of the epidemic:

City Of Tshwane Metro Daily Cases and Excess Deaths (7-day moving average)

City Of Tshwane Metro Daily Cases and Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

City Of Tshwane Metro Daily Cases and Deaths (if available) for Last 30-days (7-day moving average)

City Of Tshwane Metro Daily Cases and Deaths (if available) for Last 30-days (7-day moving average)

6.4.9.4 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for City Of Tshwane Metro.

Estimated Effective Reproduction Number for City Of Tshwane Metro
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
City Of Tshwane Metro 12.6 2022-12-25 0.73 [0.58 - 0.91]

Below the effective reproduction number for City Of Tshwane Metro over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for City Of Tshwane Metro over last 90 days

Estimated Effective Reproduction Number Based on Cases for City Of Tshwane Metro over last 90 days

Estimated Effective Reproduction Number Based on Cases for City Of Tshwane Metro since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for City Of Tshwane Metro since 1 April 2020

6.4.10 Ekurhuleni Metro

6.4.10.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Ekurhuleni Metro by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-07 1,357 1,003 Wave 1 Peak
2021-01-06 1,168 1,030 Wave 2 Peak
2021-07-03 1,485 2,301 Wave 3 Peak
2021-12-09 3,027 2,159 Wave 4 Peak
2022-05-06 680 624 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Ekurhuleni Metro on a log scale since start of the epidemic:

Ekurhuleni Metro Daily Cases (7-day moving average)

Ekurhuleni Metro Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Ekurhuleni Metro Daily Cases for Last 30-days (7-day moving average)

Ekurhuleni Metro Daily Cases for Last 30-days (7-day moving average)

6.4.10.2 Excess Deaths

Excess deaths are tabulated by date of death below. A centred 7-day moving average is also shown. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Ekurhuleni Metro by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Excess Deaths 7-day Moving Average Comment
2020-07-15 100 100 Wave 1 Peak
2021-01-06 84 84 Wave 2 Peak
2021-07-14 160 160 Wave 3 Peak
2021-12-15 18 18 Wave 4 Peak
2022-04-06 10 10 Wave 5 Peak (to date)
2022-12-03 -8 -9
2022-12-04 -11 -10
2022-12-05 -11 -10
2022-12-06 -11 -11
2022-12-07 -11 -11
2022-12-08 -11 NA
2022-12-09 -11 NA
2022-12-10 -11 NA

Below a 7-day moving average daily excess deaths is plotted for Ekurhuleni Metro on a log scale since start of the epidemic:

Ekurhuleni Metro Daily Excess Deaths (7-day moving average)

Ekurhuleni Metro Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Ekurhuleni Metro Excess Deaths for Last 30-days (7-day moving average)

Ekurhuleni Metro Excess Deaths for Last 30-days (7-day moving average)

6.4.10.3 Cases and Excess Deaths Combined

Below a 7-day moving average daily case count and estimated daily excess deaths are plotted for Ekurhuleni Metro on a log scale since start of the epidemic:

Ekurhuleni Metro Daily Cases and Excess Deaths (7-day moving average)

Ekurhuleni Metro Daily Cases and Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Ekurhuleni Metro Daily Cases and Deaths (if available) for Last 30-days (7-day moving average)

Ekurhuleni Metro Daily Cases and Deaths (if available) for Last 30-days (7-day moving average)

6.4.10.4 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Ekurhuleni Metro.

Estimated Effective Reproduction Number for Ekurhuleni Metro
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Ekurhuleni Metro 10 2022-12-25 1.04 [0.81 - 1.31]

Below the effective reproduction number for Ekurhuleni Metro over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Ekurhuleni Metro over last 90 days

Estimated Effective Reproduction Number Based on Cases for Ekurhuleni Metro over last 90 days

Estimated Effective Reproduction Number Based on Cases for Ekurhuleni Metro since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Ekurhuleni Metro since 1 April 2020

6.4.11 Sedibeng

6.4.11.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Sedibeng by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-16 432 402 Wave 1 Peak
2021-01-07 264 240 Wave 2 Peak
2021-07-02 632 641 Wave 3 Peak
2021-12-09 593 514 Wave 4 Peak
2022-05-06 140 132 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Sedibeng on a log scale since start of the epidemic:

Sedibeng Daily Cases (7-day moving average)

Sedibeng Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Sedibeng Daily Cases for Last 30-days (7-day moving average)

Sedibeng Daily Cases for Last 30-days (7-day moving average)

6.4.11.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Sedibeng.

Estimated Effective Reproduction Number for Sedibeng
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Sedibeng 2.6 2022-12-25 0.79 [0.48 - 1.19]

Below the effective reproduction number for Sedibeng over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Sedibeng over last 90 days

Estimated Effective Reproduction Number Based on Cases for Sedibeng over last 90 days

Estimated Effective Reproduction Number Based on Cases for Sedibeng since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Sedibeng since 1 April 2020

6.4.12 West Rand

6.4.12.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in West Rand by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-10 464 432 Wave 1 Peak
2021-01-05 459 360 Wave 2 Peak
2021-06-27 481 854 Wave 3 Peak
2021-12-09 779 586 Wave 4 Peak
2022-05-09 210 150 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for West Rand on a log scale since start of the epidemic:

West Rand Daily Cases (7-day moving average)

West Rand Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

West Rand Daily Cases for Last 30-days (7-day moving average)

West Rand Daily Cases for Last 30-days (7-day moving average)

6.4.12.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for West Rand.

Estimated Effective Reproduction Number for West Rand
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
West Rand 2.4 2022-12-25 0.82 [0.48 - 1.25]

Below the effective reproduction number for West Rand over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for West Rand over last 90 days

Estimated Effective Reproduction Number Based on Cases for West Rand over last 90 days

Estimated Effective Reproduction Number Based on Cases for West Rand since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for West Rand since 1 April 2020

6.5 KwaZulu-Natal

6.5.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in KwaZulu-Natal by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-20 3,505 2,917 Wave 1 Peak
2021-01-02 4,331 5,643 Wave 2 Peak
2021-08-19 4,259 3,472 Wave 3 Peak
2021-12-14 6,184 4,936 Wave 4 Peak
2022-05-04 2,436 1,892 Wave 5 Peak (to date)

Below a 7-day moving average daily case count is plotted for KwaZulu-Natal on a log scale since start of the epidemic:

KwaZulu-Natal Daily Cases (7-day moving average)

KwaZulu-Natal Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

KwaZulu-Natal Daily Cases for Last 30-days (7-day moving average)

KwaZulu-Natal Daily Cases for Last 30-days (7-day moving average)

Below a 7-day moving average daily case count is plotted for KwaZulu-Natal by district municipality on a log scale since start of the epidemic:

KwaZulu-Natal Daily Cases by District Municipality (7-day moving average)

KwaZulu-Natal Daily Cases by District Municipality (7-day moving average)

Below the above chart is repeated for the last 30-days:

KwaZulu-Natal Daily Cases for Last 30-days by District Municipality (7-day moving average)

KwaZulu-Natal Daily Cases for Last 30-days by District Municipality (7-day moving average)

6.5.2 Hospital Admissions

Hospital admissions are tabulated by reported date below. The peak daily admissions in previous waves (as measured by the moving average) is also shown.

Tabulation of hospital admissions in KwaZulu-Natal by recent reported date (including peak admissions in prior waves)
Reported Date Hospital Admissions 7-day Moving Average Comment
2020-07-30 181 281 Wave 1 Peak
2021-01-26 572 655 Wave 2 Peak
2021-08-15 43 299 Wave 3 Peak
2022-01-07 247 284 Wave 4 Peak
2022-05-14 48 106 Wave 5 Peak (to date)
2022-12-16 0 11
2022-12-17 6 10
2022-12-18 5 8
2022-12-19 4 8
2022-12-20 18 9
2022-12-21 10 NA
2022-12-22 13 NA
2022-12-23 6 NA

Below a 7-day moving average daily hospital admissions count is plotted for KwaZulu-Natal on a log scale since start of the epidemic:

KwaZulu-Natal Daily Hospital Admissions (7-day moving average)

KwaZulu-Natal Daily Hospital Admissions (7-day moving average)

Below the above chart is repeated for the last 30-days:

KwaZulu-Natal Daily Hospital Admissions for Last 30-days (7-day moving average)

KwaZulu-Natal Daily Hospital Admissions for Last 30-days (7-day moving average)

6.5.3 Hospital Deaths

Hospital deaths are tabulated by reported date below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Note that hospital deaths underestimates total COVID-19 deaths in South Africa.

Tabulation of hospital deaths in KwaZulu-Natal by recent reported date (including peak deaths in prior waves)
Reported Date Hospital Deaths 7-day Moving Average Comment
2020-07-26 22 42 Wave 1 Peak
2021-01-14 173 154 Wave 2 Peak
2021-08-27 67 70 Wave 3 Peak
2022-01-09 2 39 Wave 4 Peak
2022-05-20 11 7 Wave 5 Peak (to date)
2022-12-16 0 1
2022-12-17 0 1
2022-12-18 0 0
2022-12-19 0 0
2022-12-20 1 0
2022-12-21 1 NA
2022-12-22 1 NA
2022-12-23 0 NA

Below a 7-day moving average daily hospital deaths count is plotted for KwaZulu-Natal on a log scale since start of the epidemic:

KwaZulu-Natal Daily Hospital Deaths (7-day moving average)

KwaZulu-Natal Daily Hospital Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

KwaZulu-Natal Daily Hospital Deaths for Last 30-days (7-day moving average)

KwaZulu-Natal Daily Hospital Deaths for Last 30-days (7-day moving average)

6.5.4 Excess Deaths

Excess deaths are tabulated by date of death below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of excess deaths in KwaZulu-Natal by recent date of death (including peak deaths in prior waves)
Date of Death Excess Deaths 7-day Moving Average Comment
2020-07-22 226 226 Wave 1 Peak
2021-01-13 725 725 Wave 2 Peak
2021-08-18 199 199 Wave 3 Peak
2021-12-29 127 127 Wave 4 Peak
2022-05-25 59 59 Wave 5 Peak (to date)
2022-12-03 16 19
2022-12-04 22 19
2022-12-05 22 20
2022-12-06 22 21
2022-12-07 22 22
2022-12-08 22 NA
2022-12-09 22 NA
2022-12-10 22 NA

Below a 7-day moving average daily excess deaths count is plotted for KwaZulu-Natal on a log scale since start of the epidemic:

KwaZulu-Natal Daily Excess Deaths (7-day moving average)

KwaZulu-Natal Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

KwaZulu-Natal Daily Excess Deaths for Last 30-days (7-day moving average)

KwaZulu-Natal Daily Excess Deaths for Last 30-days (7-day moving average)

6.5.5 Cases, Admissions and Deaths Combined

Below a 7-day moving average daily case, admission and excess death counts are plotted for KwaZulu-Natal on a log scale since start of the epidemic. Note admissions and excess deaths are plotted by reported date, whereas cases are plotted by specimen received date.

KwaZulu-Natal Daily Cases, Admissions and Deaths (7-day moving average)

KwaZulu-Natal Daily Cases, Admissions and Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

KwaZulu-Natal Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

KwaZulu-Natal Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

6.5.6 Crude Ratios per Wave

Below crude rations are calculated between the waves. It’s based on the following starting dates:

  • Wave 1 started on 2020-01-01.
  • Wave 2 started on 2020-10-01.
  • Wave 3 started on 2021-04-01.
  • Wave 4 started on 2021-11-01.
  • Wave 5 started on 2022-04-01.

Below crude ratios are tabulated and plotted. These ratios are:

  • Case admissions ratio calculated as admissions divided by cases.
  • Case fatality ratio calculated as hospital deaths divided by cases (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Case excess deaths ratio calculated as excess deaths divided by cases.
  • Hospital fatality ratio calculated as hospital deaths divided by admissions (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Death reporting ratio calculated as hospital deaths divided by excess deaths.
Tabulation of Crude Ratios by Wave
Wave Case Admission Ratio Case Fatality Ratio Case Excess Deaths Ratio Hospital Fatality Ratio Death Reporting Ratio
KwaZulu-Natal Wave 1 10.2% 1.55% 7.41% 15.2% 20.9%
KwaZulu-Natal Wave 2 16.2% 3.98% 13.32% 24.7% 29.9%
KwaZulu-Natal Wave 3 12.1% 2.80% 9.56% 23.1% 29.3%
KwaZulu-Natal Wave 4 9.7% 1.05% 5.03% 10.8% 20.9%
KwaZulu-Natal Wave 5 9.6% 0.72% 11.07% 7.5% 6.5%

Below the rations above are plotted graphically:

Crude Ratios by Wave

Crude Ratios by Wave

6.5.7 Reproduction Number

Below current (last weekly) effective reproduction number estimates are tabulated for KwaZulu-Natal and by district municipality.

Estimated Effective Reproduction Number for KwaZulu-Natal
Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
KwaZulu-Natal cases 65.9 2022-12-25 0.99 [0.90 - 1.09]
KwaZulu-Natal hospital_admissions 8.9 2022-12-23 0.83 [0.64 - 1.06]
Estimated Effective Reproduction Number for KwaZulu-Natal by District Municipality
District Municipality Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Amajuba cases 0.4 2022-12-25 1.08 [0.29 - 2.33]
Ethekwini Metro cases 43.9 2022-12-25 1.02 [0.91 - 1.14]
Harry Gwala cases 0.3 2022-12-25 2.29 [0.47 - 5.67]
Ilembe cases 5.0 2022-12-25 0.81 [0.57 - 1.10]
King Cetshwayo cases 2.1 2022-12-25 1.17 [0.66 - 1.84]
Ugu cases 3.1 2022-12-25 1.19 [0.75 - 1.73]
Umgungundlovu cases 8.7 2022-12-25 0.93 [0.71 - 1.17]
Umkhanyakude cases 0.1 2022-12-25 1.11 [0.13 - 3.12]
Umzinyathi cases 0.9 2022-12-25 0.78 [0.31 - 1.46]
Uthukela cases 0.9 2022-12-25 1.21 [0.49 - 2.24]
Zululand cases 0.4 2022-12-25 2.51 [0.66 - 5.62]
Estimated Effective Reproduction Number for KwaZulu-Natal by District Municipality

Estimated Effective Reproduction Number for KwaZulu-Natal by District Municipality

Below the effective reproduction number for KwaZulu-Natal over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for KwaZulu-Natal over last 90 days

Estimated Effective Reproduction Number Based on Cases for KwaZulu-Natal over last 90 days

Estimated Effective Reproduction Number Based on Cases for KwaZulu-Natal since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for KwaZulu-Natal since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for KwaZulu-Natal over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for KwaZulu-Natal over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for KwaZulu-Natal since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for KwaZulu-Natal since 1 April 2020

Estimated Effective Reproduction Number for KwaZulu-Natal over last 90 days

Estimated Effective Reproduction Number for KwaZulu-Natal over last 90 days

Estimated Effective Reproduction Number for KwaZulu-Natal since 1 April 2020

Estimated Effective Reproduction Number for KwaZulu-Natal since 1 April 2020

6.5.8 Amajuba

6.5.8.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Amajuba by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-12 82 211 Wave 1 Peak
2021-01-08 141 128 Wave 2 Peak
2021-07-08 190 151 Wave 3 Peak
2021-12-13 180 149 Wave 4 Peak
2021-12-14 158 149 Wave 4 Peak
2022-05-06 26 21 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Amajuba on a log scale since start of the epidemic:

Amajuba Daily Cases (7-day moving average)

Amajuba Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Amajuba Daily Cases for Last 30-days (7-day moving average)

Amajuba Daily Cases for Last 30-days (7-day moving average)

6.5.8.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Amajuba.

Estimated Effective Reproduction Number for Amajuba
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Amajuba 0.4 2022-12-25 1.08 [0.29 - 2.33]

Below the effective reproduction number for Amajuba over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Amajuba over last 90 days

Estimated Effective Reproduction Number Based on Cases for Amajuba over last 90 days

Estimated Effective Reproduction Number Based on Cases for Amajuba since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Amajuba since 1 April 2020

6.5.9 Ethekwini Metro

6.5.9.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Ethekwini Metro by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-20 1,683 1,376 Wave 1 Peak
2020-12-31 3,282 3,330 Wave 2 Peak
2021-08-19 2,260 1,874 Wave 3 Peak
2021-12-14 3,787 3,067 Wave 4 Peak
2022-05-06 1,459 1,370 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Ethekwini Metro on a log scale since start of the epidemic:

Ethekwini Metro Daily Cases (7-day moving average)

Ethekwini Metro Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Ethekwini Metro Daily Cases for Last 30-days (7-day moving average)

Ethekwini Metro Daily Cases for Last 30-days (7-day moving average)

6.5.9.2 Excess Deaths

Excess deaths are tabulated by date of death below. A centred 7-day moving average is also shown. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Ethekwini Metro by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Excess Deaths 7-day Moving Average Comment
2020-07-22 76 76 Wave 1 Peak
2021-01-06 197 197 Wave 2 Peak
2021-08-18 50 50 Wave 3 Peak
2021-12-22 27 27 Wave 4 Peak
2022-05-11 13 13 Wave 5 Peak (to date)
2022-12-03 -1 -1
2022-12-04 0 -1
2022-12-05 0 -1
2022-12-06 0 0
2022-12-07 0 0
2022-12-08 0 NA
2022-12-09 0 NA
2022-12-10 0 NA

Below a 7-day moving average daily excess deaths is plotted for Ethekwini Metro on a log scale since start of the epidemic:

Ethekwini Metro Daily Excess Deaths (7-day moving average)

Ethekwini Metro Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Ethekwini Metro Excess Deaths for Last 30-days (7-day moving average)

Ethekwini Metro Excess Deaths for Last 30-days (7-day moving average)

6.5.9.3 Cases and Excess Deaths Combined

Below a 7-day moving average daily case count and estimated daily excess deaths are plotted for Ethekwini Metro on a log scale since start of the epidemic:

Ethekwini Metro Daily Cases and Excess Deaths (7-day moving average)

Ethekwini Metro Daily Cases and Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Ethekwini Metro Daily Cases and Deaths (if available) for Last 30-days (7-day moving average)

Ethekwini Metro Daily Cases and Deaths (if available) for Last 30-days (7-day moving average)

6.5.9.4 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Ethekwini Metro.

Estimated Effective Reproduction Number for Ethekwini Metro
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Ethekwini Metro 43.9 2022-12-25 1.02 [0.91 - 1.14]

Below the effective reproduction number for Ethekwini Metro over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Ethekwini Metro over last 90 days

Estimated Effective Reproduction Number Based on Cases for Ethekwini Metro over last 90 days

Estimated Effective Reproduction Number Based on Cases for Ethekwini Metro since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Ethekwini Metro since 1 April 2020

6.5.10 Harry Gwala

6.5.10.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Harry Gwala by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-10 105 77 Wave 1 Peak
2020-07-13 106 77 Wave 1 Peak
2021-01-01 100 114 Wave 2 Peak
2021-08-21 46 80 Wave 3 Peak
2021-12-20 100 72 Wave 4 Peak
2022-05-06 14 14 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Harry Gwala on a log scale since start of the epidemic:

Harry Gwala Daily Cases (7-day moving average)

Harry Gwala Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Harry Gwala Daily Cases for Last 30-days (7-day moving average)

Harry Gwala Daily Cases for Last 30-days (7-day moving average)

6.5.10.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Harry Gwala.

Estimated Effective Reproduction Number for Harry Gwala
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Harry Gwala 0.3 2022-12-25 2.29 [0.47 - 5.67]

Below the effective reproduction number for Harry Gwala over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Harry Gwala over last 90 days

Estimated Effective Reproduction Number Based on Cases for Harry Gwala over last 90 days

Estimated Effective Reproduction Number Based on Cases for Harry Gwala since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Harry Gwala since 1 April 2020

6.5.11 Ilembe

6.5.11.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Ilembe by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-29 92 86 Wave 1 Peak
2020-12-29 331 257 Wave 2 Peak
2021-08-21 115 137 Wave 3 Peak
2021-12-25 110 203 Wave 4 Peak
2022-05-03 162 114 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Ilembe on a log scale since start of the epidemic:

Ilembe Daily Cases (7-day moving average)

Ilembe Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Ilembe Daily Cases for Last 30-days (7-day moving average)

Ilembe Daily Cases for Last 30-days (7-day moving average)

6.5.11.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Ilembe.

Estimated Effective Reproduction Number for Ilembe
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Ilembe 5 2022-12-25 0.81 [0.57 - 1.10]

Below the effective reproduction number for Ilembe over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Ilembe over last 90 days

Estimated Effective Reproduction Number Based on Cases for Ilembe over last 90 days

Estimated Effective Reproduction Number Based on Cases for Ilembe since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Ilembe since 1 April 2020

6.5.12 King Cetshwayo

6.5.12.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in King Cetshwayo by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-23 229 201 Wave 1 Peak
2021-01-07 507 478 Wave 2 Peak
2021-08-23 340 257 Wave 3 Peak
2021-12-17 350 292 Wave 4 Peak
2022-05-08 20 48 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for King Cetshwayo on a log scale since start of the epidemic:

King Cetshwayo Daily Cases (7-day moving average)

King Cetshwayo Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

King Cetshwayo Daily Cases for Last 30-days (7-day moving average)

King Cetshwayo Daily Cases for Last 30-days (7-day moving average)

6.5.12.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for King Cetshwayo.

Estimated Effective Reproduction Number for King Cetshwayo
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
King Cetshwayo 2.1 2022-12-25 1.17 [0.66 - 1.84]

Below the effective reproduction number for King Cetshwayo over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for King Cetshwayo over last 90 days

Estimated Effective Reproduction Number Based on Cases for King Cetshwayo over last 90 days

Estimated Effective Reproduction Number Based on Cases for King Cetshwayo since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for King Cetshwayo since 1 April 2020

6.5.13 Ugu

6.5.13.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Ugu by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-20 149 120 Wave 1 Peak
2020-12-29 370 282 Wave 2 Peak
2021-08-18 164 128 Wave 3 Peak
2021-12-17 268 242 Wave 4 Peak
2022-05-08 15 55 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Ugu on a log scale since start of the epidemic:

Ugu Daily Cases (7-day moving average)

Ugu Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Ugu Daily Cases for Last 30-days (7-day moving average)

Ugu Daily Cases for Last 30-days (7-day moving average)

6.5.13.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Ugu.

Estimated Effective Reproduction Number for Ugu
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Ugu 3.1 2022-12-25 1.19 [0.75 - 1.73]

Below the effective reproduction number for Ugu over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Ugu over last 90 days

Estimated Effective Reproduction Number Based on Cases for Ugu over last 90 days

Estimated Effective Reproduction Number Based on Cases for Ugu since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Ugu since 1 April 2020

6.5.14 Umgungundlovu

6.5.14.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Umgungundlovu by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-17 438 381 Wave 1 Peak
2021-01-04 654 582 Wave 2 Peak
2021-08-10 633 492 Wave 3 Peak
2021-12-14 625 500 Wave 4 Peak
2022-05-04 237 215 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Umgungundlovu on a log scale since start of the epidemic:

Umgungundlovu Daily Cases (7-day moving average)

Umgungundlovu Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Umgungundlovu Daily Cases for Last 30-days (7-day moving average)

Umgungundlovu Daily Cases for Last 30-days (7-day moving average)

6.5.14.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Umgungundlovu.

Estimated Effective Reproduction Number for Umgungundlovu
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Umgungundlovu 8.7 2022-12-25 0.93 [0.71 - 1.17]

Below the effective reproduction number for Umgungundlovu over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Umgungundlovu over last 90 days

Estimated Effective Reproduction Number Based on Cases for Umgungundlovu over last 90 days

Estimated Effective Reproduction Number Based on Cases for Umgungundlovu since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Umgungundlovu since 1 April 2020

6.5.15 Umkhanyakude

6.5.15.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Umkhanyakude by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-20 43 60 Wave 1 Peak
2021-01-06 199 182 Wave 2 Peak
2021-08-23 150 144 Wave 3 Peak
2021-12-20 120 83 Wave 4 Peak
2022-05-10 12 9 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Umkhanyakude on a log scale since start of the epidemic:

Umkhanyakude Daily Cases (7-day moving average)

Umkhanyakude Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Umkhanyakude Daily Cases for Last 30-days (7-day moving average)

Umkhanyakude Daily Cases for Last 30-days (7-day moving average)

6.5.15.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Umkhanyakude.

Estimated Effective Reproduction Number for Umkhanyakude
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Umkhanyakude 0.1 2022-12-25 1.11 [0.13 - 3.12]

Below the effective reproduction number for Umkhanyakude over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Umkhanyakude over last 90 days

Estimated Effective Reproduction Number Based on Cases for Umkhanyakude over last 90 days

Estimated Effective Reproduction Number Based on Cases for Umkhanyakude since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Umkhanyakude since 1 April 2020

6.5.16 Umzinyathi

6.5.16.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Umzinyathi by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-18 71 106 Wave 1 Peak
2021-01-09 89 132 Wave 2 Peak
2021-08-21 79 122 Wave 3 Peak
2021-12-13 93 98 Wave 4 Peak
2022-05-04 23 14 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Umzinyathi on a log scale since start of the epidemic:

Umzinyathi Daily Cases (7-day moving average)

Umzinyathi Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Umzinyathi Daily Cases for Last 30-days (7-day moving average)

Umzinyathi Daily Cases for Last 30-days (7-day moving average)

6.5.16.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Umzinyathi.

Estimated Effective Reproduction Number for Umzinyathi
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Umzinyathi 0.9 2022-12-25 0.78 [0.31 - 1.46]

Below the effective reproduction number for Umzinyathi over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Umzinyathi over last 90 days

Estimated Effective Reproduction Number Based on Cases for Umzinyathi over last 90 days

Estimated Effective Reproduction Number Based on Cases for Umzinyathi since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Umzinyathi since 1 April 2020

6.5.17 Uthukela

6.5.17.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Uthukela by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-20 172 165 Wave 1 Peak
2021-01-07 314 304 Wave 2 Peak
2021-07-08 187 161 Wave 3 Peak
2021-12-14 247 205 Wave 4 Peak
2022-05-07 22 41 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Uthukela on a log scale since start of the epidemic:

Uthukela Daily Cases (7-day moving average)

Uthukela Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Uthukela Daily Cases for Last 30-days (7-day moving average)

Uthukela Daily Cases for Last 30-days (7-day moving average)

6.5.17.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Uthukela.

Estimated Effective Reproduction Number for Uthukela
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Uthukela 0.9 2022-12-25 1.21 [0.49 - 2.24]

Below the effective reproduction number for Uthukela over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Uthukela over last 90 days

Estimated Effective Reproduction Number Based on Cases for Uthukela over last 90 days

Estimated Effective Reproduction Number Based on Cases for Uthukela since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Uthukela since 1 April 2020

6.5.18 Zululand

6.5.18.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Zululand by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-18 136 172 Wave 1 Peak
2021-01-10 117 200 Wave 2 Peak
2021-08-25 159 161 Wave 3 Peak
2021-08-26 199 161 Wave 3 Peak
2021-12-12 63 110 Wave 4 Peak
2022-05-11 17 13 Wave 5 Peak (to date)
2022-05-12 17 13 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Zululand on a log scale since start of the epidemic:

Zululand Daily Cases (7-day moving average)

Zululand Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Zululand Daily Cases for Last 30-days (7-day moving average)

Zululand Daily Cases for Last 30-days (7-day moving average)

6.5.18.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Zululand.

Estimated Effective Reproduction Number for Zululand
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Zululand 0.4 2022-12-25 2.51 [0.66 - 5.62]

Below the effective reproduction number for Zululand over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Zululand over last 90 days

Estimated Effective Reproduction Number Based on Cases for Zululand over last 90 days

Estimated Effective Reproduction Number Based on Cases for Zululand since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Zululand since 1 April 2020

6.6 Limpopo

6.6.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Limpopo by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-20 420 318 Wave 1 Peak
2021-01-07 1,684 1,630 Wave 2 Peak
2021-07-08 1,830 1,507 Wave 3 Peak
2021-12-11 420 828 Wave 4 Peak
2022-05-08 11 70 Wave 5 Peak (to date)

Below a 7-day moving average daily case count is plotted for Limpopo on a log scale since start of the epidemic:

Limpopo Daily Cases (7-day moving average)

Limpopo Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Limpopo Daily Cases for Last 30-days (7-day moving average)

Limpopo Daily Cases for Last 30-days (7-day moving average)

Below a 7-day moving average daily case count is plotted for Limpopo by district municipality on a log scale since start of the epidemic:

Limpopo Daily Cases by District Municipality (7-day moving average)

Limpopo Daily Cases by District Municipality (7-day moving average)

Below the above chart is repeated for the last 30-days:

Limpopo Daily Cases for Last 30-days by District Municipality (7-day moving average)

Limpopo Daily Cases for Last 30-days by District Municipality (7-day moving average)

6.6.2 Hospital Admissions

Hospital admissions are tabulated by reported date below. The peak daily admissions in previous waves (as measured by the moving average) is also shown.

Tabulation of hospital admissions in Limpopo by recent reported date (including peak admissions in prior waves)
Reported Date Hospital Admissions 7-day Moving Average Comment
2020-09-18 49 41 Wave 1 Peak
2021-01-24 10 158 Wave 2 Peak
2021-07-12 174 158 Wave 3 Peak
2021-12-20 85 69 Wave 4 Peak
2022-05-15 0 9 Wave 5 Peak (to date)
2022-12-16 0 0
2022-12-17 0 0
2022-12-18 1 0
2022-12-19 0 0
2022-12-20 1 1
2022-12-21 0 NA
2022-12-22 1 NA
2022-12-23 1 NA

Below a 7-day moving average daily hospital admissions count is plotted for Limpopo on a log scale since start of the epidemic:

Limpopo Daily Hospital Admissions (7-day moving average)

Limpopo Daily Hospital Admissions (7-day moving average)

Below the above chart is repeated for the last 30-days:

Limpopo Daily Hospital Admissions for Last 30-days (7-day moving average)

Limpopo Daily Hospital Admissions for Last 30-days (7-day moving average)

6.6.3 Hospital Deaths

Hospital deaths are tabulated by reported date below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Note that hospital deaths underestimates total COVID-19 deaths in South Africa.

Tabulation of hospital deaths in Limpopo by recent reported date (including peak deaths in prior waves)
Reported Date Hospital Deaths 7-day Moving Average Comment
2020-09-18 11 8 Wave 1 Peak
2021-01-24 10 44 Wave 2 Peak
2021-07-25 18 47 Wave 3 Peak
2022-01-06 12 12 Wave 4 Peak
2022-05-21 0 1 Wave 5 Peak (to date)
2022-05-23 2 1 Wave 5 Peak (to date)
2022-05-24 2 1 Wave 5 Peak (to date)
2022-05-25 0 1 Wave 5 Peak (to date)
2022-05-26 4 1 Wave 5 Peak (to date)

Below a 7-day moving average daily hospital deaths count is plotted for Limpopo on a log scale since start of the epidemic:

Limpopo Daily Hospital Deaths (7-day moving average)

Limpopo Daily Hospital Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Limpopo Daily Hospital Deaths for Last 30-days (7-day moving average)

Limpopo Daily Hospital Deaths for Last 30-days (7-day moving average)

6.6.4 Excess Deaths

Excess deaths are tabulated by date of death below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of excess deaths in Limpopo by recent date of death (including peak deaths in prior waves)
Date of Death Excess Deaths 7-day Moving Average Comment
2020-07-29 42 42 Wave 1 Peak
2021-01-13 377 377 Wave 2 Peak
2021-07-21 238 238 Wave 3 Peak
2021-12-22 64 64 Wave 4 Peak
2022-05-25 48 48 Wave 5 Peak (to date)
2022-12-03 8 8
2022-12-04 9 8
2022-12-05 9 9
2022-12-06 9 9
2022-12-07 9 9
2022-12-08 9 NA
2022-12-09 9 NA
2022-12-10 9 NA

Below a 7-day moving average daily excess deaths count is plotted for Limpopo on a log scale since start of the epidemic:

Limpopo Daily Excess Deaths (7-day moving average)

Limpopo Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Limpopo Daily Excess Deaths for Last 30-days (7-day moving average)

Limpopo Daily Excess Deaths for Last 30-days (7-day moving average)

6.6.5 Cases, Admissions and Deaths Combined

Below a 7-day moving average daily case, admission and excess death counts are plotted for Limpopo on a log scale since start of the epidemic. Note admissions and excess deaths are plotted by reported date, whereas cases are plotted by specimen received date.

Limpopo Daily Cases, Admissions and Deaths (7-day moving average)

Limpopo Daily Cases, Admissions and Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Limpopo Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

Limpopo Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

6.6.6 Crude Ratios per Wave

Below crude rations are calculated between the waves. It’s based on the following starting dates:

  • Wave 1 started on 2020-01-01.
  • Wave 2 started on 2020-10-01.
  • Wave 3 started on 2021-04-01.
  • Wave 4 started on 2021-11-01.
  • Wave 5 started on 2022-04-01.

Below crude ratios are tabulated and plotted. These ratios are:

  • Case admissions ratio calculated as admissions divided by cases.
  • Case fatality ratio calculated as hospital deaths divided by cases (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Case excess deaths ratio calculated as excess deaths divided by cases.
  • Hospital fatality ratio calculated as hospital deaths divided by admissions (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Death reporting ratio calculated as hospital deaths divided by excess deaths.
Tabulation of Crude Ratios by Wave
Wave Case Admission Ratio Case Fatality Ratio Case Excess Deaths Ratio Hospital Fatality Ratio Death Reporting Ratio
Limpopo Wave 1 9.4% 1.69% 11.20% 18.0% 15.1%
Limpopo Wave 2 16.2% 4.78% 28.68% 29.4% 16.7%
Limpopo Wave 3 14.0% 4.03% 22.23% 28.7% 18.1%
Limpopo Wave 4 10.6% 1.43% 15.39% 13.5% 9.3%
Limpopo Wave 5 12.0% 0.85% 100.28% 7.0% 0.8%

Below the rations above are plotted graphically:

Crude Ratios by Wave

Crude Ratios by Wave

6.6.7 Reproduction Number

Below current (last weekly) effective reproduction number estimates are tabulated for Limpopo and by district municipality.

Estimated Effective Reproduction Number for Limpopo
Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Limpopo cases 3.0 2022-12-25 1.02 [0.63 - 1.49]
Limpopo hospital_admissions 0.6 2022-12-23 2.45 [0.77 - 5.15]
Estimated Effective Reproduction Number for Limpopo by District Municipality
District Municipality Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Capricorn cases 0.7 2022-12-25 1.26 [0.46 - 2.46]
Mopani cases 0.7 2022-12-25 0.95 [0.34 - 1.85]
Sekhukhune cases 0.1 2022-12-25 2.24 [0.27 - 6.36]
Vhembe cases 0.7 2022-12-25 2.14 [0.76 - 4.30]
Waterberg cases 0.7 2022-12-25 0.81 [0.29 - 1.58]
Estimated Effective Reproduction Number for Limpopo by District Municipality

Estimated Effective Reproduction Number for Limpopo by District Municipality

Below the effective reproduction number for Limpopo over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Limpopo over last 90 days

Estimated Effective Reproduction Number Based on Cases for Limpopo over last 90 days

Estimated Effective Reproduction Number Based on Cases for Limpopo since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Limpopo since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for Limpopo over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for Limpopo over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for Limpopo since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for Limpopo since 1 April 2020

Estimated Effective Reproduction Number for Limpopo over last 90 days

Estimated Effective Reproduction Number for Limpopo over last 90 days

Estimated Effective Reproduction Number for Limpopo since 1 April 2020

Estimated Effective Reproduction Number for Limpopo since 1 April 2020

6.6.8 Capricorn

6.6.8.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Capricorn by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-20 127 102 Wave 1 Peak
2021-01-06 663 541 Wave 2 Peak
2021-07-10 199 363 Wave 3 Peak
2021-12-16 400 211 Wave 4 Peak
2022-05-12 27 17 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Capricorn on a log scale since start of the epidemic:

Capricorn Daily Cases (7-day moving average)

Capricorn Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Capricorn Daily Cases for Last 30-days (7-day moving average)

Capricorn Daily Cases for Last 30-days (7-day moving average)

6.6.8.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Capricorn.

Estimated Effective Reproduction Number for Capricorn
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Capricorn 0.7 2022-12-25 1.26 [0.46 - 2.46]

Below the effective reproduction number for Capricorn over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Capricorn over last 90 days

Estimated Effective Reproduction Number Based on Cases for Capricorn over last 90 days

Estimated Effective Reproduction Number Based on Cases for Capricorn since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Capricorn since 1 April 2020

6.6.9 Mopani

6.6.9.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Mopani by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-20 75 54 Wave 1 Peak
2021-01-10 169 353 Wave 2 Peak
2021-07-10 128 209 Wave 3 Peak
2021-12-16 217 161 Wave 4 Peak
2022-06-20 32 26 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Mopani on a log scale since start of the epidemic:

Mopani Daily Cases (7-day moving average)

Mopani Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Mopani Daily Cases for Last 30-days (7-day moving average)

Mopani Daily Cases for Last 30-days (7-day moving average)

6.6.9.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Mopani.

Estimated Effective Reproduction Number for Mopani
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Mopani 0.7 2022-12-25 0.95 [0.34 - 1.85]

Below the effective reproduction number for Mopani over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Mopani over last 90 days

Estimated Effective Reproduction Number Based on Cases for Mopani over last 90 days

Estimated Effective Reproduction Number Based on Cases for Mopani since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Mopani since 1 April 2020

6.6.10 Sekhukhune

6.6.10.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Sekhukhune by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-19 14 44 Wave 1 Peak
2021-01-11 143 149 Wave 2 Peak
2021-07-08 289 226 Wave 3 Peak
2021-12-11 34 98 Wave 4 Peak
2022-05-01 2 11 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Sekhukhune on a log scale since start of the epidemic:

Sekhukhune Daily Cases (7-day moving average)

Sekhukhune Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Sekhukhune Daily Cases for Last 30-days (7-day moving average)

Sekhukhune Daily Cases for Last 30-days (7-day moving average)

6.6.10.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Sekhukhune.

Estimated Effective Reproduction Number for Sekhukhune
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Sekhukhune 0.1 2022-12-25 2.24 [0.27 - 6.36]

Below the effective reproduction number for Sekhukhune over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Sekhukhune over last 90 days

Estimated Effective Reproduction Number Based on Cases for Sekhukhune over last 90 days

Estimated Effective Reproduction Number Based on Cases for Sekhukhune since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Sekhukhune since 1 April 2020

6.6.11 Vhembe

6.6.11.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Vhembe by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-08-03 50 32 Wave 1 Peak
2021-01-08 312 334 Wave 2 Peak
2021-07-09 326 278 Wave 3 Peak
2021-12-13 179 147 Wave 4 Peak
2022-05-22 5 16 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Vhembe on a log scale since start of the epidemic:

Vhembe Daily Cases (7-day moving average)

Vhembe Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Vhembe Daily Cases for Last 30-days (7-day moving average)

Vhembe Daily Cases for Last 30-days (7-day moving average)

6.6.11.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Vhembe.

Estimated Effective Reproduction Number for Vhembe
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Vhembe 0.7 2022-12-25 2.14 [0.76 - 4.30]

Below the effective reproduction number for Vhembe over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Vhembe over last 90 days

Estimated Effective Reproduction Number Based on Cases for Vhembe over last 90 days

Estimated Effective Reproduction Number Based on Cases for Vhembe since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Vhembe since 1 April 2020

6.6.12 Waterberg

6.6.12.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Waterberg by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-15 113 89 Wave 1 Peak
2021-01-07 288 293 Wave 2 Peak
2021-07-08 535 461 Wave 3 Peak
2021-12-10 297 265 Wave 4 Peak
2022-05-08 5 24 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Waterberg on a log scale since start of the epidemic:

Waterberg Daily Cases (7-day moving average)

Waterberg Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Waterberg Daily Cases for Last 30-days (7-day moving average)

Waterberg Daily Cases for Last 30-days (7-day moving average)

6.6.12.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Waterberg.

Estimated Effective Reproduction Number for Waterberg
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Waterberg 0.7 2022-12-25 0.81 [0.29 - 1.58]

Below the effective reproduction number for Waterberg over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Waterberg over last 90 days

Estimated Effective Reproduction Number Based on Cases for Waterberg over last 90 days

Estimated Effective Reproduction Number Based on Cases for Waterberg since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Waterberg since 1 April 2020

6.7 Mpumalanga

6.7.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Mpumalanga by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-21 723 592 Wave 1 Peak
2021-01-12 1,628 1,196 Wave 2 Peak
2021-07-10 670 1,118 Wave 3 Peak
2021-12-12 328 1,134 Wave 4 Peak
2022-05-08 46 201 Wave 5 Peak (to date)

Below a 7-day moving average daily case count is plotted for Mpumalanga on a log scale since start of the epidemic:

Mpumalanga Daily Cases (7-day moving average)

Mpumalanga Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Mpumalanga Daily Cases for Last 30-days (7-day moving average)

Mpumalanga Daily Cases for Last 30-days (7-day moving average)

Below a 7-day moving average daily case count is plotted for Mpumalanga by district municipality on a log scale since start of the epidemic:

Mpumalanga Daily Cases by District Municipality (7-day moving average)

Mpumalanga Daily Cases by District Municipality (7-day moving average)

Below the above chart is repeated for the last 30-days:

Mpumalanga Daily Cases for Last 30-days by District Municipality (7-day moving average)

Mpumalanga Daily Cases for Last 30-days by District Municipality (7-day moving average)

6.7.2 Hospital Admissions

Hospital admissions are tabulated by reported date below. The peak daily admissions in previous waves (as measured by the moving average) is also shown.

Tabulation of hospital admissions in Mpumalanga by recent reported date (including peak admissions in prior waves)
Reported Date Hospital Admissions 7-day Moving Average Comment
2020-08-04 25 62 Wave 1 Peak
2021-01-24 40 163 Wave 2 Peak
2021-07-12 53 103 Wave 3 Peak
2021-12-12 12 65 Wave 4 Peak
2022-05-19 15 15 Wave 5 Peak (to date)

Below a 7-day moving average daily hospital admissions count is plotted for Mpumalanga on a log scale since start of the epidemic:

Mpumalanga Daily Hospital Admissions (7-day moving average)

Mpumalanga Daily Hospital Admissions (7-day moving average)

Below the above chart is repeated for the last 30-days:

Mpumalanga Daily Hospital Admissions for Last 30-days (7-day moving average)

Mpumalanga Daily Hospital Admissions for Last 30-days (7-day moving average)

6.7.3 Hospital Deaths

Hospital deaths are tabulated by reported date below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Note that hospital deaths underestimates total COVID-19 deaths in South Africa.

Tabulation of hospital deaths in Mpumalanga by recent reported date (including peak deaths in prior waves)
Reported Date Hospital Deaths 7-day Moving Average Comment
2020-08-20 4 6 Wave 1 Peak
2020-09-14 4 6 Wave 1 Peak
2021-01-24 9 47 Wave 2 Peak
2021-07-30 43 34 Wave 3 Peak
2022-01-08 1 8 Wave 4 Peak
2022-05-28 0 4 Wave 5 Peak (to date)
2022-05-29 1 4 Wave 5 Peak (to date)

Below a 7-day moving average daily hospital deaths count is plotted for Mpumalanga on a log scale since start of the epidemic:

Mpumalanga Daily Hospital Deaths (7-day moving average)

Mpumalanga Daily Hospital Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Mpumalanga Daily Hospital Deaths for Last 30-days (7-day moving average)

Mpumalanga Daily Hospital Deaths for Last 30-days (7-day moving average)

6.7.4 Excess Deaths

Excess deaths are tabulated by date of death below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of excess deaths in Mpumalanga by recent date of death (including peak deaths in prior waves)
Date of Death Excess Deaths 7-day Moving Average Comment
2020-07-22 65 65 Wave 1 Peak
2021-01-13 213 213 Wave 2 Peak
2021-07-21 154 154 Wave 3 Peak
2021-12-22 36 36 Wave 4 Peak
2022-05-11 24 24 Wave 5 Peak (to date)
2022-12-03 9 1
2022-12-04 -10 -2
2022-12-05 -10 -4
2022-12-06 -10 -7
2022-12-07 -10 -10
2022-12-08 -10 NA
2022-12-09 -10 NA
2022-12-10 -10 NA

Below a 7-day moving average daily excess deaths count is plotted for Mpumalanga on a log scale since start of the epidemic:

Mpumalanga Daily Excess Deaths (7-day moving average)

Mpumalanga Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Mpumalanga Daily Excess Deaths for Last 30-days (7-day moving average)

Mpumalanga Daily Excess Deaths for Last 30-days (7-day moving average)

6.7.5 Cases, Admissions and Deaths Combined

Below a 7-day moving average daily case, admission and excess death counts are plotted for Mpumalanga on a log scale since start of the epidemic. Note admissions and excess deaths are plotted by reported date, whereas cases are plotted by specimen received date.

Mpumalanga Daily Cases, Admissions and Deaths (7-day moving average)

Mpumalanga Daily Cases, Admissions and Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Mpumalanga Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

Mpumalanga Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

6.7.6 Crude Ratios per Wave

Below crude rations are calculated between the waves. It’s based on the following starting dates:

  • Wave 1 started on 2020-01-01.
  • Wave 2 started on 2020-10-01.
  • Wave 3 started on 2021-04-01.
  • Wave 4 started on 2021-11-01.
  • Wave 5 started on 2022-04-01.

Below crude ratios are tabulated and plotted. These ratios are:

  • Case admissions ratio calculated as admissions divided by cases.
  • Case fatality ratio calculated as hospital deaths divided by cases (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Case excess deaths ratio calculated as excess deaths divided by cases.
  • Hospital fatality ratio calculated as hospital deaths divided by admissions (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Death reporting ratio calculated as hospital deaths divided by excess deaths.
Tabulation of Crude Ratios by Wave
Wave Case Admission Ratio Case Fatality Ratio Case Excess Deaths Ratio Hospital Fatality Ratio Death Reporting Ratio
Mpumalanga Wave 1 7.5% 0.91% 7.75% 12.2% 11.8%
Mpumalanga Wave 2 15.4% 4.24% 18.17% 27.5% 23.4%
Mpumalanga Wave 3 11.8% 2.94% 13.08% 24.9% 22.5%
Mpumalanga Wave 4 9.1% 0.79% 6.27% 8.7% 12.6%
Mpumalanga Wave 5 10.7% 1.12% 22.62% 10.5% 4.9%

Below the rations above are plotted graphically:

Crude Ratios by Wave

Crude Ratios by Wave

6.7.7 Reproduction Number

Below current (last weekly) effective reproduction number estimates are tabulated for Mpumalanga and by district municipality.

Estimated Effective Reproduction Number for Mpumalanga
Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Mpumalanga cases 8.4 2022-12-25 0.91 [0.69 - 1.15]
Mpumalanga hospital_admissions 2.0 2022-12-13 0.42 [0.24 - 0.67]
Estimated Effective Reproduction Number for Mpumalanga by District Municipality
District Municipality Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Ehlanzeni cases 4.6 2022-12-25 0.96 [0.66 - 1.32]
Gert Sibande cases 1.4 2022-12-25 0.86 [0.43 - 1.45]
Nkangala cases 2.4 2022-12-25 0.93 [0.55 - 1.40]
Estimated Effective Reproduction Number for Mpumalanga by District Municipality

Estimated Effective Reproduction Number for Mpumalanga by District Municipality

Below the effective reproduction number for Mpumalanga over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Mpumalanga over last 90 days

Estimated Effective Reproduction Number Based on Cases for Mpumalanga over last 90 days

Estimated Effective Reproduction Number Based on Cases for Mpumalanga since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Mpumalanga since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for Mpumalanga over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for Mpumalanga over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for Mpumalanga since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for Mpumalanga since 1 April 2020

Estimated Effective Reproduction Number for Mpumalanga over last 90 days

Estimated Effective Reproduction Number for Mpumalanga over last 90 days

Estimated Effective Reproduction Number for Mpumalanga since 1 April 2020

Estimated Effective Reproduction Number for Mpumalanga since 1 April 2020

6.7.8 Ehlanzeni

6.7.8.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Ehlanzeni by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-08-01 120 138 Wave 1 Peak
2021-01-10 181 485 Wave 2 Peak
2021-07-10 267 425 Wave 3 Peak
2021-07-11 155 425 Wave 3 Peak
2021-12-16 599 393 Wave 4 Peak
2022-05-22 30 62 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Ehlanzeni on a log scale since start of the epidemic:

Ehlanzeni Daily Cases (7-day moving average)

Ehlanzeni Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Ehlanzeni Daily Cases for Last 30-days (7-day moving average)

Ehlanzeni Daily Cases for Last 30-days (7-day moving average)

6.7.8.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Ehlanzeni.

Estimated Effective Reproduction Number for Ehlanzeni
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Ehlanzeni 4.6 2022-12-25 0.96 [0.66 - 1.32]

Below the effective reproduction number for Ehlanzeni over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Ehlanzeni over last 90 days

Estimated Effective Reproduction Number Based on Cases for Ehlanzeni over last 90 days

Estimated Effective Reproduction Number Based on Cases for Ehlanzeni since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Ehlanzeni since 1 April 2020

6.7.9 Gert Sibande

6.7.9.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Gert Sibande by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-21 317 246 Wave 1 Peak
2021-01-12 477 327 Wave 2 Peak
2021-07-10 142 256 Wave 3 Peak
2021-12-12 71 354 Wave 4 Peak
2022-05-08 15 68 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Gert Sibande on a log scale since start of the epidemic:

Gert Sibande Daily Cases (7-day moving average)

Gert Sibande Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Gert Sibande Daily Cases for Last 30-days (7-day moving average)

Gert Sibande Daily Cases for Last 30-days (7-day moving average)

6.7.9.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Gert Sibande.

Estimated Effective Reproduction Number for Gert Sibande
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Gert Sibande 1.4 2022-12-25 0.86 [0.43 - 1.45]

Below the effective reproduction number for Gert Sibande over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Gert Sibande over last 90 days

Estimated Effective Reproduction Number Based on Cases for Gert Sibande over last 90 days

Estimated Effective Reproduction Number Based on Cases for Gert Sibande since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Gert Sibande since 1 April 2020

6.7.10 Nkangala

6.7.10.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Nkangala by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-20 358 232 Wave 1 Peak
2021-01-07 481 422 Wave 2 Peak
2021-07-08 521 446 Wave 3 Peak
2021-12-09 698 472 Wave 4 Peak
2022-05-04 109 80 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Nkangala on a log scale since start of the epidemic:

Nkangala Daily Cases (7-day moving average)

Nkangala Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Nkangala Daily Cases for Last 30-days (7-day moving average)

Nkangala Daily Cases for Last 30-days (7-day moving average)

6.7.10.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Nkangala.

Estimated Effective Reproduction Number for Nkangala
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Nkangala 2.4 2022-12-25 0.93 [0.55 - 1.40]

Below the effective reproduction number for Nkangala over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Nkangala over last 90 days

Estimated Effective Reproduction Number Based on Cases for Nkangala over last 90 days

Estimated Effective Reproduction Number Based on Cases for Nkangala since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Nkangala since 1 April 2020

6.8 North West

6.8.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in North West by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-10 620 516 Wave 1 Peak
2020-07-11 337 516 Wave 1 Peak
2021-01-07 790 820 Wave 2 Peak
2021-07-04 556 1,297 Wave 3 Peak
2021-12-10 1,402 1,293 Wave 4 Peak
2022-05-09 363 229 Wave 5 Peak (to date)

Below a 7-day moving average daily case count is plotted for North West on a log scale since start of the epidemic:

North West Daily Cases (7-day moving average)

North West Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

North West Daily Cases for Last 30-days (7-day moving average)

North West Daily Cases for Last 30-days (7-day moving average)

Below a 7-day moving average daily case count is plotted for North West by district municipality on a log scale since start of the epidemic:

North West Daily Cases by District Municipality (7-day moving average)

North West Daily Cases by District Municipality (7-day moving average)

Below the above chart is repeated for the last 30-days:

North West Daily Cases for Last 30-days by District Municipality (7-day moving average)

North West Daily Cases for Last 30-days by District Municipality (7-day moving average)

6.8.2 Hospital Admissions

Hospital admissions are tabulated by reported date below. The peak daily admissions in previous waves (as measured by the moving average) is also shown.

Tabulation of hospital admissions in North West by recent reported date (including peak admissions in prior waves)
Reported Date Hospital Admissions 7-day Moving Average Comment
2020-07-31 31 87 Wave 1 Peak
2021-01-24 64 212 Wave 2 Peak
2021-07-12 249 162 Wave 3 Peak
2021-12-12 41 83 Wave 4 Peak
2022-04-16 0 67 Wave 5 Peak (to date)

Below a 7-day moving average daily hospital admissions count is plotted for North West on a log scale since start of the epidemic:

North West Daily Hospital Admissions (7-day moving average)

North West Daily Hospital Admissions (7-day moving average)

Below the above chart is repeated for the last 30-days:

North West Daily Hospital Admissions for Last 30-days (7-day moving average)

North West Daily Hospital Admissions for Last 30-days (7-day moving average)

6.8.3 Hospital Deaths

Hospital deaths are tabulated by reported date below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Note that hospital deaths underestimates total COVID-19 deaths in South Africa.

Tabulation of hospital deaths in North West by recent reported date (including peak deaths in prior waves)
Reported Date Hospital Deaths 7-day Moving Average Comment
2020-08-04 7 11 Wave 1 Peak
2021-01-28 9 22 Wave 2 Peak
2021-07-18 21 40 Wave 3 Peak
2021-12-26 3 7 Wave 4 Peak
2022-04-17 0 11 Wave 5 Peak (to date)
2022-12-16 0 0
2022-12-17 0 0
2022-12-18 0 0
2022-12-19 0 0
2022-12-20 2 0
2022-12-21 0 NA
2022-12-22 0 NA
2022-12-23 0 NA

Below a 7-day moving average daily hospital deaths count is plotted for North West on a log scale since start of the epidemic:

North West Daily Hospital Deaths (7-day moving average)

North West Daily Hospital Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

North West Daily Hospital Deaths for Last 30-days (7-day moving average)

North West Daily Hospital Deaths for Last 30-days (7-day moving average)

6.8.4 Excess Deaths

Excess deaths are tabulated by date of death below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of excess deaths in North West by recent date of death (including peak deaths in prior waves)
Date of Death Excess Deaths 7-day Moving Average Comment
2020-07-22 41 41 Wave 1 Peak
2021-01-20 102 102 Wave 2 Peak
2021-07-21 141 141 Wave 3 Peak
2021-12-29 37 37 Wave 4 Peak
2022-05-25 26 26 Wave 5 Peak (to date)
2022-12-03 0 -4
2022-12-04 -10 -5
2022-12-05 -10 -7
2022-12-06 -10 -8
2022-12-07 -10 -10
2022-12-08 -10 NA
2022-12-09 -10 NA
2022-12-10 -10 NA

Below a 7-day moving average daily excess deaths count is plotted for North West on a log scale since start of the epidemic:

North West Daily Excess Deaths (7-day moving average)

North West Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

North West Daily Excess Deaths for Last 30-days (7-day moving average)

North West Daily Excess Deaths for Last 30-days (7-day moving average)

6.8.5 Cases, Admissions and Deaths Combined

Below a 7-day moving average daily case, admission and excess death counts are plotted for North West on a log scale since start of the epidemic. Note admissions and excess deaths are plotted by reported date, whereas cases are plotted by specimen received date.

North West Daily Cases, Admissions and Deaths (7-day moving average)

North West Daily Cases, Admissions and Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

North West Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

North West Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

6.8.6 Crude Ratios per Wave

Below crude rations are calculated between the waves. It’s based on the following starting dates:

  • Wave 1 started on 2020-01-01.
  • Wave 2 started on 2020-10-01.
  • Wave 3 started on 2021-04-01.
  • Wave 4 started on 2021-11-01.
  • Wave 5 started on 2022-04-01.

Below crude ratios are tabulated and plotted. These ratios are:

  • Case admissions ratio calculated as admissions divided by cases.
  • Case fatality ratio calculated as hospital deaths divided by cases (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Case excess deaths ratio calculated as excess deaths divided by cases.
  • Hospital fatality ratio calculated as hospital deaths divided by admissions (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Death reporting ratio calculated as hospital deaths divided by excess deaths.
Tabulation of Crude Ratios by Wave
Wave Case Admission Ratio Case Fatality Ratio Case Excess Deaths Ratio Hospital Fatality Ratio Death Reporting Ratio
North West Wave 1 11.3% 1.41% 5.54% 12.5% 25.5%
North West Wave 2 29.4% 3.74% 12.77% 12.7% 29.3%
North West Wave 3 17.3% 3.16% 10.74% 18.3% 29.4%
North West Wave 4 10.7% 0.85% 3.83% 7.9% 22.1%
North West Wave 5 15.8% 2.30% 10.28% 14.6% 22.4%

Below the rations above are plotted graphically:

Crude Ratios by Wave

Crude Ratios by Wave

6.8.7 Reproduction Number

Below current (last weekly) effective reproduction number estimates are tabulated for North West and by district municipality.

Estimated Effective Reproduction Number for North West
Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
North West cases 3.4 2022-12-25 0.76 [0.49 - 1.10]
North West hospital_admissions 0.4 2022-09-26 0.53 [0.14 - 1.17]
Estimated Effective Reproduction Number for North West by District Municipality
District Municipality Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Bojanala Platinum cases 2.3 2022-12-25 0.76 [0.44 - 1.17]
Dr Kenneth Kaunda cases 0.7 2022-12-25 0.85 [0.31 - 1.67]
Dr Ruth Segomotsi Mompati cases 0.0 2022-12-25 2.82 [0.07 - 10.65]
Ngaka Modiri Molema cases 0.4 2022-12-25 1.11 [0.30 - 2.42]
Estimated Effective Reproduction Number for North West by District Municipality

Estimated Effective Reproduction Number for North West by District Municipality

Below the effective reproduction number for North West over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for North West over last 90 days

Estimated Effective Reproduction Number Based on Cases for North West over last 90 days

Estimated Effective Reproduction Number Based on Cases for North West since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for North West since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for North West over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for North West over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for North West since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for North West since 1 April 2020

Estimated Effective Reproduction Number for North West over last 90 days

Estimated Effective Reproduction Number for North West over last 90 days

Estimated Effective Reproduction Number for North West since 1 April 2020

Estimated Effective Reproduction Number for North West since 1 April 2020

6.8.8 Bojanala Platinum

6.8.8.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Bojanala Platinum by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-08 377 341 Wave 1 Peak
2021-01-07 523 520 Wave 2 Peak
2021-07-04 369 905 Wave 3 Peak
2021-12-10 828 762 Wave 4 Peak
2022-05-09 135 91 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Bojanala Platinum on a log scale since start of the epidemic:

Bojanala Platinum Daily Cases (7-day moving average)

Bojanala Platinum Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Bojanala Platinum Daily Cases for Last 30-days (7-day moving average)

Bojanala Platinum Daily Cases for Last 30-days (7-day moving average)

6.8.8.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Bojanala Platinum.

Estimated Effective Reproduction Number for Bojanala Platinum
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Bojanala Platinum 2.3 2022-12-25 0.76 [0.44 - 1.17]

Below the effective reproduction number for Bojanala Platinum over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Bojanala Platinum over last 90 days

Estimated Effective Reproduction Number Based on Cases for Bojanala Platinum over last 90 days

Estimated Effective Reproduction Number Based on Cases for Bojanala Platinum since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Bojanala Platinum since 1 April 2020

6.8.9 Dr Kenneth Kaunda

6.8.9.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Dr Kenneth Kaunda by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-11 50 119 Wave 1 Peak
2021-01-07 114 124 Wave 2 Peak
2021-07-04 93 221 Wave 3 Peak
2021-12-12 135 295 Wave 4 Peak
2022-05-12 95 88 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Dr Kenneth Kaunda on a log scale since start of the epidemic:

Dr Kenneth Kaunda Daily Cases (7-day moving average)

Dr Kenneth Kaunda Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Dr Kenneth Kaunda Daily Cases for Last 30-days (7-day moving average)

Dr Kenneth Kaunda Daily Cases for Last 30-days (7-day moving average)

6.8.9.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Dr Kenneth Kaunda.

Estimated Effective Reproduction Number for Dr Kenneth Kaunda
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Dr Kenneth Kaunda 0.7 2022-12-25 0.85 [0.31 - 1.67]

Below the effective reproduction number for Dr Kenneth Kaunda over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Dr Kenneth Kaunda over last 90 days

Estimated Effective Reproduction Number Based on Cases for Dr Kenneth Kaunda over last 90 days

Estimated Effective Reproduction Number Based on Cases for Dr Kenneth Kaunda since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Dr Kenneth Kaunda since 1 April 2020

6.8.10 Dr Ruth Segomotsi Mompati

6.8.10.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Dr Ruth Segomotsi Mompati by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-09-11 39 30 Wave 1 Peak
2021-01-10 20 48 Wave 2 Peak
2021-08-22 18 61 Wave 3 Peak
2021-12-12 11 56 Wave 4 Peak
2022-05-04 12 12 Wave 5 Peak (to date)
2022-05-05 14 12 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Dr Ruth Segomotsi Mompati on a log scale since start of the epidemic:

Dr Ruth Segomotsi Mompati Daily Cases (7-day moving average)

Dr Ruth Segomotsi Mompati Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Dr Ruth Segomotsi Mompati Daily Cases for Last 30-days (7-day moving average)

Dr Ruth Segomotsi Mompati Daily Cases for Last 30-days (7-day moving average)

6.8.10.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Dr Ruth Segomotsi Mompati.

Estimated Effective Reproduction Number for Dr Ruth Segomotsi Mompati
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Dr Ruth Segomotsi Mompati 0 2022-12-25 2.82 [0.07 - 10.65]

Below the effective reproduction number for Dr Ruth Segomotsi Mompati over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Dr Ruth Segomotsi Mompati over last 90 days

Estimated Effective Reproduction Number Based on Cases for Dr Ruth Segomotsi Mompati over last 90 days

Estimated Effective Reproduction Number Based on Cases for Dr Ruth Segomotsi Mompati since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Dr Ruth Segomotsi Mompati since 1 April 2020

6.8.11 Ngaka Modiri Molema

6.8.11.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Ngaka Modiri Molema by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-19 23 79 Wave 1 Peak
2021-01-09 99 133 Wave 2 Peak
2021-07-07 195 134 Wave 3 Peak
2021-12-12 90 211 Wave 4 Peak
2022-05-08 8 43 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Ngaka Modiri Molema on a log scale since start of the epidemic:

Ngaka Modiri Molema Daily Cases (7-day moving average)

Ngaka Modiri Molema Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Ngaka Modiri Molema Daily Cases for Last 30-days (7-day moving average)

Ngaka Modiri Molema Daily Cases for Last 30-days (7-day moving average)

6.8.11.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Ngaka Modiri Molema.

Estimated Effective Reproduction Number for Ngaka Modiri Molema
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Ngaka Modiri Molema 0.4 2022-12-25 1.11 [0.30 - 2.42]

Below the effective reproduction number for Ngaka Modiri Molema over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Ngaka Modiri Molema over last 90 days

Estimated Effective Reproduction Number Based on Cases for Ngaka Modiri Molema over last 90 days

Estimated Effective Reproduction Number Based on Cases for Ngaka Modiri Molema since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Ngaka Modiri Molema since 1 April 2020

6.9 Northern Cape

6.9.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Northern Cape by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-08-10 532 243 Wave 1 Peak
2021-01-08 411 287 Wave 2 Peak
2021-08-14 482 571 Wave 3 Peak
2021-12-17 543 512 Wave 4 Peak
2022-05-18 301 204 Wave 5 Peak (to date)

Below a 7-day moving average daily case count is plotted for Northern Cape on a log scale since start of the epidemic:

Northern Cape Daily Cases (7-day moving average)

Northern Cape Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Northern Cape Daily Cases for Last 30-days (7-day moving average)

Northern Cape Daily Cases for Last 30-days (7-day moving average)

Below a 7-day moving average daily case count is plotted for Northern Cape by district municipality on a log scale since start of the epidemic:

Northern Cape Daily Cases by District Municipality (7-day moving average)

Northern Cape Daily Cases by District Municipality (7-day moving average)

Below the above chart is repeated for the last 30-days:

Northern Cape Daily Cases for Last 30-days by District Municipality (7-day moving average)

Northern Cape Daily Cases for Last 30-days by District Municipality (7-day moving average)

6.9.2 Hospital Admissions

Hospital admissions are tabulated by reported date below. The peak daily admissions in previous waves (as measured by the moving average) is also shown.

Tabulation of hospital admissions in Northern Cape by recent reported date (including peak admissions in prior waves)
Reported Date Hospital Admissions 7-day Moving Average Comment
2020-08-23 3 25 Wave 1 Peak
2021-01-26 28 49 Wave 2 Peak
2021-07-15 73 70 Wave 3 Peak
2022-01-07 32 38 Wave 4 Peak
2022-05-20 21 14 Wave 5 Peak (to date)
2022-12-16 0 1
2022-12-17 1 1
2022-12-18 1 0
2022-12-19 1 0
2022-12-20 0 1
2022-12-21 0 NA
2022-12-22 0 NA
2022-12-23 1 NA

Below a 7-day moving average daily hospital admissions count is plotted for Northern Cape on a log scale since start of the epidemic:

Northern Cape Daily Hospital Admissions (7-day moving average)

Northern Cape Daily Hospital Admissions (7-day moving average)

Below the above chart is repeated for the last 30-days:

Northern Cape Daily Hospital Admissions for Last 30-days (7-day moving average)

Northern Cape Daily Hospital Admissions for Last 30-days (7-day moving average)

6.9.3 Hospital Deaths

Hospital deaths are tabulated by reported date below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Note that hospital deaths underestimates total COVID-19 deaths in South Africa.

Tabulation of hospital deaths in Northern Cape by recent reported date (including peak deaths in prior waves)
Reported Date Hospital Deaths 7-day Moving Average Comment
2020-08-27 2 5 Wave 1 Peak
2021-01-17 0 9 Wave 2 Peak
2021-07-11 1 19 Wave 3 Peak
2021-12-31 4 4 Wave 4 Peak
2022-05-24 3 1 Wave 5 Peak (to date)
2022-05-25 0 1 Wave 5 Peak (to date)
2022-05-26 1 1 Wave 5 Peak (to date)
2022-05-27 3 1 Wave 5 Peak (to date)
2022-12-16 0 0
2022-12-17 0 0
2022-12-18 0 0
2022-12-19 0 0
2022-12-20 0 0
2022-12-21 0 NA
2022-12-22 0 NA
2022-12-23 0 NA

Below a 7-day moving average daily hospital deaths count is plotted for Northern Cape on a log scale since start of the epidemic:

Northern Cape Daily Hospital Deaths (7-day moving average)

Northern Cape Daily Hospital Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Northern Cape Daily Hospital Deaths for Last 30-days (7-day moving average)

Northern Cape Daily Hospital Deaths for Last 30-days (7-day moving average)

6.9.4 Excess Deaths

Excess deaths are tabulated by date of death below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of excess deaths in Northern Cape by recent date of death (including peak deaths in prior waves)
Date of Death Excess Deaths 7-day Moving Average Comment
2020-08-19 14 14 Wave 1 Peak
2021-01-20 23 23 Wave 2 Peak
2021-06-02 43 43 Wave 3 Peak
2021-12-22 21 21 Wave 4 Peak
2022-06-29 19 19 Wave 5 Peak (to date)
2022-12-03 0 0
2022-12-04 1 1
2022-12-05 1 1
2022-12-06 1 1
2022-12-07 1 1
2022-12-08 1 NA
2022-12-09 1 NA
2022-12-10 1 NA

Below a 7-day moving average daily excess deaths count is plotted for Northern Cape on a log scale since start of the epidemic:

Northern Cape Daily Excess Deaths (7-day moving average)

Northern Cape Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Northern Cape Daily Excess Deaths for Last 30-days (7-day moving average)

Northern Cape Daily Excess Deaths for Last 30-days (7-day moving average)

6.9.5 Cases, Admissions and Deaths Combined

Below a 7-day moving average daily case, admission and excess death counts are plotted for Northern Cape on a log scale since start of the epidemic. Note admissions and excess deaths are plotted by reported date, whereas cases are plotted by specimen received date.

Northern Cape Daily Cases, Admissions and Deaths (7-day moving average)

Northern Cape Daily Cases, Admissions and Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Northern Cape Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

Northern Cape Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

6.9.6 Crude Ratios per Wave

Below crude rations are calculated between the waves. It’s based on the following starting dates:

  • Wave 1 started on 2020-01-01.
  • Wave 2 started on 2020-10-01.
  • Wave 3 started on 2021-04-01.
  • Wave 4 started on 2021-11-01.
  • Wave 5 started on 2022-04-01.

Below crude ratios are tabulated and plotted. These ratios are:

  • Case admissions ratio calculated as admissions divided by cases.
  • Case fatality ratio calculated as hospital deaths divided by cases (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Case excess deaths ratio calculated as excess deaths divided by cases.
  • Hospital fatality ratio calculated as hospital deaths divided by admissions (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Death reporting ratio calculated as hospital deaths divided by excess deaths.
Tabulation of Crude Ratios by Wave
Wave Case Admission Ratio Case Fatality Ratio Case Excess Deaths Ratio Hospital Fatality Ratio Death Reporting Ratio
Northern Cape Wave 1 8.0% 1.11% 4.32% 13.9% 25.6%
Northern Cape Wave 2 14.7% 2.79% 9.59% 19.0% 29.0%
Northern Cape Wave 3 10.3% 2.77% 8.56% 27.0% 32.4%
Northern Cape Wave 4 10.0% 1.11% 9.06% 11.1% 12.3%
Northern Cape Wave 5 7.2% 0.54% 22.53% 7.5% 2.4%

Below the rations above are plotted graphically:

Crude Ratios by Wave

Crude Ratios by Wave

6.9.7 Reproduction Number

Below current (last weekly) effective reproduction number estimates are tabulated for Northern Cape and by district municipality.

Estimated Effective Reproduction Number for Northern Cape
Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Northern Cape cases 1.7 2022-12-25 0.64 [0.34 - 1.02]
Northern Cape hospital_admissions 0.6 2022-12-23 1.56 [0.50 - 3.19]
Estimated Effective Reproduction Number for Northern Cape by District Municipality
District Municipality Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Frances Baard cases 0.1 2022-12-25 1.46 [0.16 - 4.41]
John Taolo Gaetsewe cases 0.3 2022-12-25 0.29 [0.06 - 0.70]
Namakwa cases 0.4 2022-12-25 2.24 [0.57 - 5.13]
Pixley Ka Seme cases 0.4 2022-12-25 1.16 [0.31 - 2.56]
Zf Mgcawu cases 0.4 2022-12-25 1.00 [0.27 - 2.20]
Estimated Effective Reproduction Number for Northern Cape by District Municipality

Estimated Effective Reproduction Number for Northern Cape by District Municipality

Below the effective reproduction number for Northern Cape over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Northern Cape over last 90 days

Estimated Effective Reproduction Number Based on Cases for Northern Cape over last 90 days

Estimated Effective Reproduction Number Based on Cases for Northern Cape since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Northern Cape since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for Northern Cape over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for Northern Cape over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for Northern Cape since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for Northern Cape since 1 April 2020

Estimated Effective Reproduction Number for Northern Cape over last 90 days

Estimated Effective Reproduction Number for Northern Cape over last 90 days

Estimated Effective Reproduction Number for Northern Cape since 1 April 2020

Estimated Effective Reproduction Number for Northern Cape since 1 April 2020

6.9.8 Frances Baard

6.9.8.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Frances Baard by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-09-18 142 103 Wave 1 Peak
2020-10-02 80 80 Wave 2 Peak
2021-05-18 207 187 Wave 3 Peak
2021-12-17 277 298 Wave 4 Peak
2022-05-14 39 91 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Frances Baard on a log scale since start of the epidemic:

Frances Baard Daily Cases (7-day moving average)

Frances Baard Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Frances Baard Daily Cases for Last 30-days (7-day moving average)

Frances Baard Daily Cases for Last 30-days (7-day moving average)

6.9.8.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Frances Baard.

Estimated Effective Reproduction Number for Frances Baard
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Frances Baard 0.1 2022-12-25 1.46 [0.16 - 4.41]

Below the effective reproduction number for Frances Baard over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Frances Baard over last 90 days

Estimated Effective Reproduction Number Based on Cases for Frances Baard over last 90 days

Estimated Effective Reproduction Number Based on Cases for Frances Baard since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Frances Baard since 1 April 2020

6.9.9 John Taolo Gaetsewe

6.9.9.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in John Taolo Gaetsewe by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-08-05 53 45 Wave 1 Peak
2021-01-09 9 23 Wave 2 Peak
2021-08-13 88 85 Wave 3 Peak
2021-12-17 53 50 Wave 4 Peak
2022-05-19 18 22 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for John Taolo Gaetsewe on a log scale since start of the epidemic:

John Taolo Gaetsewe Daily Cases (7-day moving average)

John Taolo Gaetsewe Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

John Taolo Gaetsewe Daily Cases for Last 30-days (7-day moving average)

John Taolo Gaetsewe Daily Cases for Last 30-days (7-day moving average)

6.9.9.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for John Taolo Gaetsewe.

Estimated Effective Reproduction Number for John Taolo Gaetsewe
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
John Taolo Gaetsewe 0.3 2022-12-25 0.29 [0.06 - 0.70]

Below the effective reproduction number for John Taolo Gaetsewe over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for John Taolo Gaetsewe over last 90 days

Estimated Effective Reproduction Number Based on Cases for John Taolo Gaetsewe over last 90 days

Estimated Effective Reproduction Number Based on Cases for John Taolo Gaetsewe since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for John Taolo Gaetsewe since 1 April 2020

6.9.10 Namakwa

6.9.10.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Namakwa by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-08-24 9 12 Wave 1 Peak
2021-01-07 102 87 Wave 2 Peak
2021-08-13 86 86 Wave 3 Peak
2022-01-06 72 80 Wave 4 Peak
2022-05-21 2 25 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Namakwa on a log scale since start of the epidemic:

Namakwa Daily Cases (7-day moving average)

Namakwa Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Namakwa Daily Cases for Last 30-days (7-day moving average)

Namakwa Daily Cases for Last 30-days (7-day moving average)

6.9.10.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Namakwa.

Estimated Effective Reproduction Number for Namakwa
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Namakwa 0.4 2022-12-25 2.24 [0.57 - 5.13]

Below the effective reproduction number for Namakwa over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Namakwa over last 90 days

Estimated Effective Reproduction Number Based on Cases for Namakwa over last 90 days

Estimated Effective Reproduction Number Based on Cases for Namakwa since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Namakwa since 1 April 2020

6.9.11 Pixley Ka Seme

6.9.11.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Pixley Ka Seme by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-08-10 275 75 Wave 1 Peak
2021-01-08 112 68 Wave 2 Peak
2021-08-19 223 125 Wave 3 Peak
2021-12-18 27 70 Wave 4 Peak
2022-05-16 37 25 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Pixley Ka Seme on a log scale since start of the epidemic:

Pixley Ka Seme Daily Cases (7-day moving average)

Pixley Ka Seme Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Pixley Ka Seme Daily Cases for Last 30-days (7-day moving average)

Pixley Ka Seme Daily Cases for Last 30-days (7-day moving average)

6.9.11.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Pixley Ka Seme.

Estimated Effective Reproduction Number for Pixley Ka Seme
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Pixley Ka Seme 0.4 2022-12-25 1.16 [0.31 - 2.56]

Below the effective reproduction number for Pixley Ka Seme over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Pixley Ka Seme over last 90 days

Estimated Effective Reproduction Number Based on Cases for Pixley Ka Seme over last 90 days

Estimated Effective Reproduction Number Based on Cases for Pixley Ka Seme since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Pixley Ka Seme since 1 April 2020

6.9.12 Zf Mgcawu

6.9.12.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Zf Mgcawu by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-09-14 59 60 Wave 1 Peak
2021-01-13 41 52 Wave 2 Peak
2021-08-14 171 199 Wave 3 Peak
2021-12-20 132 84 Wave 4 Peak
2021-12-23 109 84 Wave 4 Peak
2022-05-18 91 57 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Zf Mgcawu on a log scale since start of the epidemic:

Zf Mgcawu Daily Cases (7-day moving average)

Zf Mgcawu Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Zf Mgcawu Daily Cases for Last 30-days (7-day moving average)

Zf Mgcawu Daily Cases for Last 30-days (7-day moving average)

6.9.12.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Zf Mgcawu.

Estimated Effective Reproduction Number for Zf Mgcawu
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Zf Mgcawu 0.4 2022-12-25 1.00 [0.27 - 2.20]

Below the effective reproduction number for Zf Mgcawu over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Zf Mgcawu over last 90 days

Estimated Effective Reproduction Number Based on Cases for Zf Mgcawu over last 90 days

Estimated Effective Reproduction Number Based on Cases for Zf Mgcawu since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Zf Mgcawu since 1 April 2020

6.10 Western Cape

6.10.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Western Cape by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-06-21 491 1,336 Wave 1 Peak
2020-12-29 4,562 3,619 Wave 2 Peak
2021-08-05 4,044 3,277 Wave 3 Peak
2021-12-17 3,877 3,658 Wave 4 Peak
2022-05-15 321 1,183 Wave 5 Peak (to date)

Below a 7-day moving average daily case count is plotted for Western Cape on a log scale since start of the epidemic:

Western Cape Daily Cases (7-day moving average)

Western Cape Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Western Cape Daily Cases for Last 30-days (7-day moving average)

Western Cape Daily Cases for Last 30-days (7-day moving average)

Below a 7-day moving average daily case count is plotted for Western Cape by district municipality on a log scale since start of the epidemic:

Western Cape Daily Cases by District Municipality (7-day moving average)

Western Cape Daily Cases by District Municipality (7-day moving average)

Below the above chart is repeated for the last 30-days:

Western Cape Daily Cases for Last 30-days by District Municipality (7-day moving average)

Western Cape Daily Cases for Last 30-days by District Municipality (7-day moving average)

6.10.2 Hospital Admissions

Hospital admissions are tabulated by reported date below. The peak daily admissions in previous waves (as measured by the moving average) is also shown.

Tabulation of hospital admissions in Western Cape by recent reported date (including peak admissions in prior waves)
Reported Date Hospital Admissions 7-day Moving Average Comment
2020-06-24 236 309 Wave 1 Peak
2021-01-25 118 1,074 Wave 2 Peak
2021-08-05 522 553 Wave 3 Peak
2021-12-27 937 398 Wave 4 Peak
2022-05-21 114 101 Wave 5 Peak (to date)
2022-12-16 0 8
2022-12-17 11 9
2022-12-18 11 8
2022-12-19 8 8
2022-12-20 12 8
2022-12-21 7 NA
2022-12-22 5 NA
2022-12-23 2 NA

Below a 7-day moving average daily hospital admissions count is plotted for Western Cape on a log scale since start of the epidemic:

Western Cape Daily Hospital Admissions (7-day moving average)

Western Cape Daily Hospital Admissions (7-day moving average)

Below the above chart is repeated for the last 30-days:

Western Cape Daily Hospital Admissions for Last 30-days (7-day moving average)

Western Cape Daily Hospital Admissions for Last 30-days (7-day moving average)

6.10.3 Hospital Deaths

Hospital deaths are tabulated by reported date below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Note that hospital deaths underestimates total COVID-19 deaths in South Africa.

Tabulation of hospital deaths in Western Cape by recent reported date (including peak deaths in prior waves)
Reported Date Hospital Deaths 7-day Moving Average Comment
2020-06-30 49 55 Wave 1 Peak
2021-01-02 105 134 Wave 2 Peak
2021-07-25 97 111 Wave 3 Peak
2022-01-09 27 65 Wave 4 Peak
2022-06-05 4 6 Wave 5 Peak (to date)
2022-12-16 0 0
2022-12-17 0 0
2022-12-18 0 0
2022-12-19 0 0
2022-12-20 1 0
2022-12-21 2 NA
2022-12-22 0 NA
2022-12-23 0 NA

Below a 7-day moving average daily hospital deaths count is plotted for Western Cape on a log scale since start of the epidemic:

Western Cape Daily Hospital Deaths (7-day moving average)

Western Cape Daily Hospital Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Western Cape Daily Hospital Deaths for Last 30-days (7-day moving average)

Western Cape Daily Hospital Deaths for Last 30-days (7-day moving average)

6.10.4 Excess Deaths

Excess deaths are tabulated by date of death below. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of excess deaths in Western Cape by recent date of death (including peak deaths in prior waves)
Date of Death Excess Deaths 7-day Moving Average Comment
2020-07-15 59 59 Wave 1 Peak
2021-01-06 215 215 Wave 2 Peak
2021-08-04 181 181 Wave 3 Peak
2022-01-05 53 53 Wave 4 Peak
2022-05-11 15 15 Wave 5 Peak (to date)
2022-12-03 3 -2
2022-12-04 -9 -4
2022-12-05 -9 -6
2022-12-06 -9 -8
2022-12-07 -9 -9
2022-12-08 -9 NA
2022-12-09 -9 NA
2022-12-10 -9 NA

Below a 7-day moving average daily excess deaths count is plotted for Western Cape on a log scale since start of the epidemic:

Western Cape Daily Excess Deaths (7-day moving average)

Western Cape Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Western Cape Daily Excess Deaths for Last 30-days (7-day moving average)

Western Cape Daily Excess Deaths for Last 30-days (7-day moving average)

6.10.5 Cases, Admissions and Deaths Combined

Below a 7-day moving average daily case, admission and excess death counts are plotted for Western Cape on a log scale since start of the epidemic. Note admissions and excess deaths are plotted by reported date, whereas cases are plotted by specimen received date.

Western Cape Daily Cases, Admissions and Deaths (7-day moving average)

Western Cape Daily Cases, Admissions and Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

Western Cape Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

Western Cape Daily Cases, Admissions and Deaths for Last 30-days (7-day moving average)

6.10.6 Crude Ratios per Wave

Below crude rations are calculated between the waves. It’s based on the following starting dates:

  • Wave 1 started on 2020-01-01.
  • Wave 2 started on 2020-10-01.
  • Wave 3 started on 2021-04-01.
  • Wave 4 started on 2021-11-01.
  • Wave 5 started on 2022-04-01.

Below crude ratios are tabulated and plotted. These ratios are:

  • Case admissions ratio calculated as admissions divided by cases.
  • Case fatality ratio calculated as hospital deaths divided by cases (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Case excess deaths ratio calculated as excess deaths divided by cases.
  • Hospital fatality ratio calculated as hospital deaths divided by admissions (Note that COVID-19 deaths are under-reported by a significant factor in South Africa).
  • Death reporting ratio calculated as hospital deaths divided by excess deaths.
Tabulation of Crude Ratios by Wave
Wave Case Admission Ratio Case Fatality Ratio Case Excess Deaths Ratio Hospital Fatality Ratio Death Reporting Ratio
Western Cape Wave 1 13.3% 2.66% 3.64% 20.0% 73.0%
Western Cape Wave 2 22.4% 3.64% 6.02% 16.2% 60.4%
Western Cape Wave 3 17.5% 3.18% 5.12% 18.2% 62.2%
Western Cape Wave 4 12.8% 0.99% 2.38% 7.7% 41.6%
Western Cape Wave 5 11.1% 0.73% 2.12% 6.6% 34.7%

Below the rations above are plotted graphically:

Crude Ratios by Wave

Crude Ratios by Wave

6.10.7 Reproduction Number

Below current (last weekly) effective reproduction number estimates are tabulated for Western Cape and by district municipality.

Estimated Effective Reproduction Number for Western Cape
Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Western Cape cases 36.9 2022-12-25 0.93 [0.82 - 1.04]
Western Cape hospital_admissions 8.0 2022-12-23 0.96 [0.73 - 1.22]
Estimated Effective Reproduction Number for Western Cape by District Municipality
District Municipality Type Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Cape Winelands cases 2.9 2022-12-25 0.88 [0.55 - 1.29]
Central Karoo cases 0.3 2022-12-25 4.11 [0.72 - 11.69]
City Of Cape Town Metro cases 24.4 2022-12-25 0.87 [0.74 - 1.01]
Garden Route cases 4.6 2022-12-25 1.18 [0.81 - 1.63]
Overberg cases 2.7 2022-12-25 1.24 [0.75 - 1.86]
West Coast cases 2.0 2022-12-25 1.07 [0.60 - 1.68]
Estimated Effective Reproduction Number for Western Cape by District Municipality

Estimated Effective Reproduction Number for Western Cape by District Municipality

Below the effective reproduction number for Western Cape over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Western Cape over last 90 days

Estimated Effective Reproduction Number Based on Cases for Western Cape over last 90 days

Estimated Effective Reproduction Number Based on Cases for Western Cape since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Western Cape since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for Western Cape over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for Western Cape over last 90 days

Estimated Effective Reproduction Number Based on Hospital Admissions for Western Cape since 1 April 2020

Estimated Effective Reproduction Number Based on Hospital Admissions for Western Cape since 1 April 2020

Estimated Effective Reproduction Number for Western Cape over last 90 days

Estimated Effective Reproduction Number for Western Cape over last 90 days

Estimated Effective Reproduction Number for Western Cape since 1 April 2020

Estimated Effective Reproduction Number for Western Cape since 1 April 2020

6.10.8 Cape Winelands

6.10.8.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Cape Winelands by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-06-20 135 217 Wave 1 Peak
2020-12-31 707 575 Wave 2 Peak
2021-08-16 454 368 Wave 3 Peak
2021-12-20 526 375 Wave 4 Peak
2022-05-08 37 139 Wave 5 Peak (to date)
2022-05-09 221 139 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Cape Winelands on a log scale since start of the epidemic:

Cape Winelands Daily Cases (7-day moving average)

Cape Winelands Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Cape Winelands Daily Cases for Last 30-days (7-day moving average)

Cape Winelands Daily Cases for Last 30-days (7-day moving average)

6.10.8.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Cape Winelands.

Estimated Effective Reproduction Number for Cape Winelands
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Cape Winelands 2.9 2022-12-25 0.88 [0.55 - 1.29]

Below the effective reproduction number for Cape Winelands over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Cape Winelands over last 90 days

Estimated Effective Reproduction Number Based on Cases for Cape Winelands over last 90 days

Estimated Effective Reproduction Number Based on Cases for Cape Winelands since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Cape Winelands since 1 April 2020

6.10.9 Central Karoo

6.10.9.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Central Karoo by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-31 24 17 Wave 1 Peak
2020-12-20 10 32 Wave 2 Peak
2021-07-27 86 62 Wave 3 Peak
2021-12-24 20 30 Wave 4 Peak
2022-05-15 0 5 Wave 5 Peak (to date)
2022-05-16 5 5 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Central Karoo on a log scale since start of the epidemic:

Central Karoo Daily Cases (7-day moving average)

Central Karoo Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Central Karoo Daily Cases for Last 30-days (7-day moving average)

Central Karoo Daily Cases for Last 30-days (7-day moving average)

6.10.9.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Central Karoo.

Estimated Effective Reproduction Number for Central Karoo
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Central Karoo 0.3 2022-12-25 4.11 [0.72 - 11.69]

Below the effective reproduction number for Central Karoo over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Central Karoo over last 90 days

Estimated Effective Reproduction Number Based on Cases for Central Karoo over last 90 days

Estimated Effective Reproduction Number Based on Cases for Central Karoo since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Central Karoo since 1 April 2020

6.10.10 City Of Cape Town Metro

6.10.10.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in City Of Cape Town Metro by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-06-01 1,119 1,040 Wave 1 Peak
2020-12-29 2,721 2,238 Wave 2 Peak
2021-08-05 2,515 2,076 Wave 3 Peak
2021-12-17 2,715 2,651 Wave 4 Peak
2022-05-09 1,260 840 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for City Of Cape Town Metro on a log scale since start of the epidemic:

City Of Cape Town Metro Daily Cases (7-day moving average)

City Of Cape Town Metro Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

City Of Cape Town Metro Daily Cases for Last 30-days (7-day moving average)

City Of Cape Town Metro Daily Cases for Last 30-days (7-day moving average)

6.10.10.2 Excess Deaths

Excess deaths are tabulated by date of death below. A centred 7-day moving average is also shown. The peak daily deaths in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in City Of Cape Town Metro by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Excess Deaths 7-day Moving Average Comment
2020-06-17 70 70 Wave 1 Peak
2020-12-30 142 142 Wave 2 Peak
2021-08-04 129 129 Wave 3 Peak
2021-12-22 34 34 Wave 4 Peak
2022-10-05 21 21 Wave 5 Peak (to date)
2022-12-03 11 6
2022-12-04 -1 4
2022-12-05 -1 2
2022-12-06 -1 1
2022-12-07 -1 -1
2022-12-08 -1 NA
2022-12-09 -1 NA
2022-12-10 -1 NA

Below a 7-day moving average daily excess deaths is plotted for City Of Cape Town Metro on a log scale since start of the epidemic:

City Of Cape Town Metro Daily Excess Deaths (7-day moving average)

City Of Cape Town Metro Daily Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

City Of Cape Town Metro Excess Deaths for Last 30-days (7-day moving average)

City Of Cape Town Metro Excess Deaths for Last 30-days (7-day moving average)

6.10.10.3 Cases and Excess Deaths Combined

Below a 7-day moving average daily case count and estimated daily excess deaths are plotted for City Of Cape Town Metro on a log scale since start of the epidemic:

City Of Cape Town Metro Daily Cases and Excess Deaths (7-day moving average)

City Of Cape Town Metro Daily Cases and Excess Deaths (7-day moving average)

Below the above chart is repeated for the last 30-days:

City Of Cape Town Metro Daily Cases and Deaths (if available) for Last 30-days (7-day moving average)

City Of Cape Town Metro Daily Cases and Deaths (if available) for Last 30-days (7-day moving average)

6.10.10.4 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for City Of Cape Town Metro.

Estimated Effective Reproduction Number for City Of Cape Town Metro
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
City Of Cape Town Metro 24.4 2022-12-25 0.87 [0.74 - 1.01]

Below the effective reproduction number for City Of Cape Town Metro over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for City Of Cape Town Metro over last 90 days

Estimated Effective Reproduction Number Based on Cases for City Of Cape Town Metro over last 90 days

Estimated Effective Reproduction Number Based on Cases for City Of Cape Town Metro since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for City Of Cape Town Metro since 1 April 2020

6.10.11 Garden Route

6.10.11.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Garden Route by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-22 236 198 Wave 1 Peak
2020-12-10 461 397 Wave 2 Peak
2021-08-02 404 406 Wave 3 Peak
2021-12-19 69 425 Wave 4 Peak
2022-05-16 128 90 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Garden Route on a log scale since start of the epidemic:

Garden Route Daily Cases (7-day moving average)

Garden Route Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Garden Route Daily Cases for Last 30-days (7-day moving average)

Garden Route Daily Cases for Last 30-days (7-day moving average)

6.10.11.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Garden Route.

Estimated Effective Reproduction Number for Garden Route
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Garden Route 4.6 2022-12-25 1.18 [0.81 - 1.63]

Below the effective reproduction number for Garden Route over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Garden Route over last 90 days

Estimated Effective Reproduction Number Based on Cases for Garden Route over last 90 days

Estimated Effective Reproduction Number Based on Cases for Garden Route since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Garden Route since 1 April 2020

6.10.12 Overberg

6.10.12.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in Overberg by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-07-02 98 75 Wave 1 Peak
2020-12-31 418 287 Wave 2 Peak
2021-08-17 253 163 Wave 3 Peak
2021-12-25 44 145 Wave 4 Peak
2022-05-14 18 54 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for Overberg on a log scale since start of the epidemic:

Overberg Daily Cases (7-day moving average)

Overberg Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

Overberg Daily Cases for Last 30-days (7-day moving average)

Overberg Daily Cases for Last 30-days (7-day moving average)

6.10.12.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for Overberg.

Estimated Effective Reproduction Number for Overberg
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
Overberg 2.7 2022-12-25 1.24 [0.75 - 1.86]

Below the effective reproduction number for Overberg over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for Overberg over last 90 days

Estimated Effective Reproduction Number Based on Cases for Overberg over last 90 days

Estimated Effective Reproduction Number Based on Cases for Overberg since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for Overberg since 1 April 2020

6.10.13 West Coast

6.10.13.1 Cases

Cases are tabulated by specimen received date below. Cases include estimates for late reporting in recent days as well as adjustments for any public holidays. A centred 7-day moving average is also shown. The peak daily cases in previous waves (as measured by the moving average) is also shown.

Tabulation of cases in West Coast by recent specimen received date (including peak cases in prior waves)
Specimen Received Date Cases 7-day Moving Average Comment
2020-06-28 18 69 Wave 1 Peak
2021-01-04 327 238 Wave 2 Peak
2021-08-16 327 285 Wave 3 Peak
2022-01-04 223 144 Wave 4 Peak
2022-01-05 201 144 Wave 4 Peak
2022-05-11 77 75 Wave 5 Peak (to date)
2022-05-12 84 75 Wave 5 Peak (to date)

Below a 7-day moving average daily case count are plotted for West Coast on a log scale since start of the epidemic:

West Coast Daily Cases (7-day moving average)

West Coast Daily Cases (7-day moving average)

Below the above chart is repeated for the last 30-days:

West Coast Daily Cases for Last 30-days (7-day moving average)

West Coast Daily Cases for Last 30-days (7-day moving average)

6.10.13.2 Reproduction Number

Below current (last weekly) reproduction number estimates are tabulated for West Coast.

Estimated Effective Reproduction Number for West Coast
Count (Per Day) Week Ending Reproduction Number [95% Confidence Interval]
West Coast 2 2022-12-25 1.07 [0.60 - 1.68]

Below the effective reproduction number for West Coast over the last 90 days are plotted together with a plot since start of the pandemic.

Estimated Effective Reproduction Number Based on Cases for West Coast over last 90 days

Estimated Effective Reproduction Number Based on Cases for West Coast over last 90 days

Estimated Effective Reproduction Number Based on Cases for West Coast since 1 April 2020

Estimated Effective Reproduction Number Based on Cases for West Coast since 1 April 2020

6.11 Detailed Results

Detailed output for all provinces are saved to a comma-separated value file. The file can be found here.

7 Discussion

Limitation of this method to estimated reproduction number are noted in [1]:

  • It’s sensitive to changes in transmissibility, changes in contact patterns, depletion of the susceptible population and control measures.
  • It relies on an assumed generation interval assumptions.
  • The size of the time window can affect the volatility of results.
  • Results are time lagged with regards to true infection.
  • It’s sensitive to changes in case detection.
  • The generation interval may change over time.
  • Hospital admissions and hospital deaths are by date of reporting and not date of admission or date of death.
  • Hospital deaths (and to some extent admissions) are reported inconsistently. Some provinces have batched reporting with unpredictable delays.
  • Hospital deaths only reflect a fraction of COVID-19 deaths in South Africa.
  • Crude ratios calculated do not account for timing accurately.

For example the the generation interval is based on international data and not South African data.

Further to the above the estimates are made under assumption that the cases are detected at a similar ratio to the underlying infections over time. Should this change rapidly over an interval of a few weeks the above estimates of the effective reproduction numbers would be biased. For example a rapid expansion of case detection could result in an overestimating recent effective reproduction numbers. A more practical example may be a public holiday resulting in fewer specimens received on a particular day. Or, also, changes in testing, such as using more antigen tests (with lower sensitivity) relative to PCR tests could reduce the case ascertainment rate per test for example.

A relatively simple allowance is made for public holidays so as to avoid volatile figures due to public holidays. This allowance could be refined further but should result in a more consistent estimate of the reproduction number over time. Care should still be taken when reviewing results during periods where testing could be impacted.

Estimates for the reproduction number here are plotted in time period in which the specimen was received. Ideally we would wish to capture the date the infection occurred. These figures have not been shifted back, even approximately, to the date of infection.

Many if the district municipalities may have limited cases at any particular point in time and hence reproduction numbers estimated for these may be wide. Care should be taken where confidence intervals are wide.

Despite these limitation it is believed that the ease of calculation of this method and the ability to use multiple sources makes it useful as a monitoring tool.

8 Comparison with other estimates

In [9] similar estimate of the reproduction number are made. The main differences from those estimates are:

  • The estimates [9] in are based on (estimated) date of symptom onset and should, in theory, be less susceptible to issues around testing (such as public holidays for example) than basing it on specimen received date. However, it may be difficult to obtain accurate symptom onset date.
  • Similarly estimates are also made based on admissions and deaths in [9]. It’s very useful to look at estimates based on multiple end points, but in this case these require data sources not accessible to the public.
  • The assumed generation interval assumptions are not exactly the same, but are reasonably similar.

9 Author

This report was prepared by Louis Rossouw. Please get in contact with Louis Rossouw if you have comments or wish to receive this regularly.

Louis Rossouw
Head of Research & Analytics
Gen Re | Life/Health Canada, South Africa, Australia, NZ, UK & Ireland
Email: LRossouw@GenRe.com Mobile: +27 71 355 2550

The views in this document represents that of the author and may not represent those of Gen Re. Also note that given the significant uncertainty involved with the parameters, data and methodology care should be taken with these numbers and any use of these numbers.

References

[1]
A. Cori, N. M. Ferguson, C. Fraser, and S. Cauchemez, “A new framework and software to estimate time-varying reproduction numbers during epidemics,” American Journal of Epidemiology, vol. 178, no. 9, pp. 1505–1512, Sep. 2013, doi: 10.1093/aje/kwt133.
[2]
A. Cori, EpiEstim: A package to estimate time varying reproduction numbers from epidemic curves. 2013.
[3]
V. Marivate et al., Coronavirus disease (COVID-19) case data - South Africa.” Zenodo, Mar-2020.
[4]
National Institute for Communicable Diseases, “National COVID-19 Daily Report,” 2021.
[5]
National Institute for Communicable Diseases, “Daily Hospital Surveillance (DATCOV) Report,” 2021.
[6]
D. Bradshaw, R. Laubscher, R. Dorrington, P. Groenewald, and T. Moultrie, “Report on weekly deaths in South Africa 4 - 10 July 2021 (Week 27),” Burden of Disease Research Unit, South African Medical Research Council, Jul. 2021.
[7]
Republic of South Africa, “Public holidays in South Africa.” https://www.gov.za/about-sa/public-holidays.
[8]
OCHA, “South africa - subnational administrative boundaries,” Dec. 2018.
[9]
National Institute for Communicable Diseases, “The Daily COVID-19 Effective Reproductive Number (R) in South Africa,” Week 11 2020.