Evidence map›Paper›PMID 41306787›Full record

ArticleBMJ public health2025

Burden of SARS-CoV-2 infection and severe illness in South Africa (March 2020-August 2022): a synthesis of epidemiological data.

Larisse Bolton, Stefano Tempia, Sibongile Walaza, Waasila Jassat, Kaiyuan Sun, Debbie Bradshaw, Rob Dorrington, Jackie Kleynhans, Neil Martenson, Anne von Gottberg and 3 more

Abstract read
In one paragraph

Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Larisse BoltonSouth African Centre for Epidemiological Modelling and Analysis (SACEMA), School for Data Science and Computational Thinking, University of Stellenbosch, Stellenbosch, Western Cape, South Africa.ORCID https://orcid.org/0000-0001-7879-2173
Stefano TempiaCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
Sibongile WalazaCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.ORCID https://orcid.org/0000-0001-7588-2480
Waasila JassatCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.ORCID https://orcid.org/0000-0003-4279-3056
Kaiyuan SunDivision of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0002-1753-9884
Debbie BradshawBurden of Disease Unit, South African Medical Research Council, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-3588-2184
Rob DorringtonCentre for Actuarial Research (CARe), University of Cape Town, Rondebosch, South Africa.ORCID https://orcid.org/0000-0002-6865-9739
Jackie KleynhansCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.ORCID https://orcid.org/0000-0001-7081-6273
Neil MartensonPerinatal HIV Research Unit, University of the Witwatersrand, Johannesburg, South Africa.
Anne von GottbergCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-0243-7455
Nicole WolterCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-9526-0133
Juliet R C PulliamSouth African Centre for Epidemiological Modelling and Analysis (SACEMA), School for Data Science and Computational Thinking, University of Stellenbosch, Stellenbosch, Western Cape, South Africa.ORCID https://orcid.org/0000-0003-3314-8223
Cheryl CohenCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.ORCID https://orcid.org/0000-0003-0376-2302

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Data on the burden of SARS-CoV-2 infections by age group and for different severity levels are lacking. We estimated the South African SARS-CoV-2 disease burden and severity, describing changes in the shape of the disease burden pyramid with successive waves. Methods: We estimated SARS-CoV-2 medically and non-medically attended illness stratified by severity (mild, severe non-fatal and fatal) during the initial five waves, spanning 1 March 2020 through 13 August 2022. We used individual-level national surveillance, healthcare utilisation and serosurvey data to estimate wave-specific hospitalisation-fatality (HFR) and infection-fatality ratios. We estimated wave-specific incidence rates per 100 000 population with 95% CIs derived from bootstrapping the individual-level data. Results: On 13 August 2022, the estimated cumulative number of SARS-CoV-2 infections in South Africa was 104.6 million, of which 399 900 (0.38%) were severe non-fatal and 258 800-289 000 (0.25 - 0.28%) fatal. 29% of severe non-fatal illness and 55 - 60% of deaths occurred outside the hospital. The highest burden of severe and fatal illness was during the Delta wave (wave 3), and the HFR across the initial three waves was similar (range 31-34%). Although there were more infections during the Omicron BA.1 wave (wave 4), there was a substantial reduction in HFR (14%). Successive waves saw a reduction in the rate of increase in mortality and hospitalisations with increasing age. Conclusions: The substantial South African national burden of SARS-CoV-2 for the initial five waves contradicts the belief of minimal impact in Africa. A high proportion of severe non-fatal and fatal illness occurred outside of the hospital, highlighting the importance of studies of health-seeking and vital registration systems to document the full burden of illness. The highest burden of severe illness and death was in the Delta wave. Following the Omicron emergence, severe illness reduced, and with successive waves, proportionately more children were infected and became ill, suggesting a transition to a more endemic pattern.

Indexed as

Disease NotificationPublic HealthSARS-CoV-2

Identifiers

PMID41306787
PMCPMC12645600

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.