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. 2023 Feb 21;15(3):597. doi: 10.3390/v15030597

Table 3.

Cumulative reported COVID-19 cases, hospitalizations, recorded deaths, and excess mortality in Gauteng Province by COVID-19 wave.

Outcomes Pre-BA.1-Dominant Wave Cumulative BA.1-Dominant Wave Omicron Sublineage Era Total
Period of case wave 7 March 2020 to 22 October 2021 23 October 2021 to 21 March 2022 22 March 2022 to 17 November 2022
Inferred infections from serosurvey 1 8,391,304 (8,265,033–8,506,096) 10,167,996 (9,803,769–10,517,047) Not applicable
Cases—no. 926,193 279,829 135,272 1,341,294
Cumulative case rate per 100,000 population 5957 1805 523 8653
Annualised case rate per 100,000 population 3567 1080 313 5182
Proportion of total cumulative cases, % 69.1 20.9 10 100
Inferred infection: recorded case ratio (95% CI) 9.1 (8.9–9.2). 36.3 (35.0–37.6) Not applicable
Period of COVID-19 hospitalisation wave 7 March 2020 to November 1, 2021 2 November 2021 to 23 March 2022 24 March 2022, 2022 17 November 2022
Hospitalizations– no. 127,415 22,233 11,624 161,272
Cumulative hospitalisation rate per 100,000 population 822 143 75 1041
Proportion of total cumulative hospitalisations, % 79 13.8 7.2 100
Inferred infection: recorded hospitalisation ratio (95% CI) 65.9 (64.9–66.8) 457.3 (441.0–473.0) Not applicable
Period of recorded COVID-19 deaths, wave 31 March 2020 to 3 November 2021 4 November 2021 to 14 April 2022 15 April 2022 to 17 November 2022
Recorded deaths in wave—no. 27,996 1802 913 30,711
cumulative recorded death rate per 100,000 population § 180.6 11.6 5.9 191.7
Proportion of total cumulative recorded deaths, % 91.2 5.8 3 100
Inferred infection: recorded death ratio (95% CI) 299.7 (295.2–303.8) 5642.6 (5440.5–5836.3) Not applicable
Infection fatality risk (IFR) for recorded deaths (%) 0.33. 0.02 Not applicable
Period of excess deaths wave 3 March 2020 to 27 November 2021 28 November 2021 to 19 March 2022 20 March 2022 to 17 November 2022
Excess deaths in wave–no. 56,202 2974 6753 65,929
Cumulative excess death rate per 100,000 population 362.6 19.2 43.6 425
Proportion of total cumulative excess deaths, % 85.3 4.5 10.2 100
Inferred infection: excess death ratio (95% CI) 149.3 (147.1–151.3) 3719.0 (3296.5–3536.3) Not applicable
Infection fatality risk 2 (IFR) for excess deaths (%) 0.67 0.03 Not applicable

1 The inferred number of infections in the population pre-Omicron BA.1 dominant wave was derived by multiplying the seroprevalence in unvaccinated individuals at the time of the pre-BA.1 serosurveys by the STATS-SA population [14]. The post-BA.1 inferred number of infections was obtained by multiplying the proportion of unvaccinated individuals showing overall serological evidence of SARS-CoV-2 infection (Table S8) between the pre- BA.1 and post-BA.1-dominant wave serosurveys, by the STATS-SA population. 2 The infection fatality ratio was calculated as the inverse of the inferred infection to recorded deaths or excess ratios. All data are from the National Institute for Communicable Diseases daily databases [12] except for weekly excess deaths. Excess mortality from natural causes was defined per and sourced from the South African Medical Research Council [13]; the excess mortality data are reported through 4 June 2022. Other waves are lagged with respect to cases. Consequently, each of the hospitalization, recorded death, and excess death waves has its own cut-off points determining the start and end of the four epidemic waves. Changes in testing rates, particularly the lower rates during Wave 1 due to constraints in laboratory capacity and prioritization of testing for hospitalized individuals, prevent direct comparisons, especially in terms of case numbers during the first wave in relation to the subsequent waves. Cases include asymptomatic and symptomatic individuals. Cumulative reported cases were sourced from the National Department of Health. Hospitalization data are from DATCOV, hosted by the National Institute for Communicable Disease, [12] as described previously [10,11]. The system was developed during the course of the first wave, with gradual onboarding of facilities; hence, these data could underestimate hospitalized cases in the first wave relative to subsequent waves. The hospitalized cases include individuals with COVID-19, as well as coincidental infections identified as part of routine testing for SARS-CoV-2 of individuals admitted to the facilities to assist in triaging of patients in the hospital. § Cumulative reported deaths were sourced from the National Department of Health.