dc.contributor.author |
Moyo, Sizulu
|
|
dc.contributor.author |
Simbayi, Leickness C.
|
|
dc.contributor.author |
Zuma, Khangelani
|
|
dc.contributor.author |
Zungu, Nompumelelo Precious
|
|
dc.contributor.author |
Marinda, Edmore
|
|
dc.contributor.author |
Jooste, Sean
|
|
dc.contributor.author |
Ramlagan, Shandir
|
|
dc.contributor.author |
Fortuin, Mirriam
|
|
dc.contributor.author |
Singh, Beverley
|
|
dc.contributor.author |
Mabaso, Musawenkosi
|
|
dc.contributor.author |
Reddy, Tarylee
|
|
dc.contributor.author |
Parker, Whadi-ah
|
|
dc.contributor.author |
Naidoo, Inbarani
|
|
dc.contributor.author |
Manda, Samuel
|
|
dc.contributor.author |
Goga, Ameena Ebrahim
|
|
dc.contributor.author |
Ngandu, Nobubelo
|
|
dc.contributor.author |
Cawood, Cherie
|
|
dc.contributor.author |
Moore, Penny L.
|
|
dc.contributor.author |
Puren, Adrian
|
|
dc.date.accessioned |
2024-09-17T12:44:17Z |
|
dc.date.available |
2024-09-17T12:44:17Z |
|
dc.date.issued |
2023-09-25 |
|
dc.description |
DATA AVAILABILITY STATEMENT : The data for this
manuscript can be found at this link https://
hsrcacza-my.sharepoint.com/personal/sjooste_
hsrc_ac_za/_layouts/15/onedrive.aspx?id=%
2Fpersonal%2Fsjooste%5Fhsrc%5Fac%5Fza%
2FDocuments%2FNCAS%5FKey%5FData&ga=1. |
en_US |
dc.description.abstract |
Population-based serological testing is important to understand the epidemiology and estimate the true cumulative incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to inform public health interventions. This study reports findings of a national household population SARS-CoV-2 serosurvey in people 12 years and older in South Africa. This cross-sectional multi-stage random stratified cluster survey undertaken from November 2020 to June 2021 collected sociodemographic data, medical history, behavioural data, and blood samples from consenting participants. The samples were tested for SARS-CoV-2 antibodies using the Roche ElecsysAnti-SARS-CoV-2 chemiluminescence immunoassay (CLIA) Total Antibody Test. The survey data were weighted by age, race, sex, and province with final individual weights benchmarked against the 2020 mid-year population estimates and accounted for clustering. Descriptive statistics summarize the characteristics of participants and seroprevalence. Logistic regression analyses were used to identify factors associated with seropositivity. From 13290 survey participants (median age 33 years, interquartile range (IQR) 23–46 years), SARS-CoV-2 seroprevalence was 37.8% [95% Confidence Interval (CI) 35.4–40.4] and varied substantially across the country’s nine provinces, and by sex, age and locality type. In the final adjusted model, the odds of seropositivity were higher in women than in men [aOR = 1.3 (95% CI: 1.0–1.6), p = 0.027], and those living with HIV (self-report) [aOR = 1.6 (95% CI: 1.0–2.4), p = 0.031]. The odds were lower among those 50 years and older compared to adolescents 12–19 years old [aOR = 0.6 (95% CI:
0.5–0.8), p<0.001] and in those who did not attend events or gatherings [aOR = 0.7 (95%
CI: 0.6–1.0), p = 0.020]. The findings help us understand the epidemiology of SARS-CoV-2
within different regions in a low-middle-income country. The survey highlights the higher risk
of infection in women in South Africa likely driven by their home and workplace roles and
also highlighted a need to actively target and include younger people in the COVID-19
response. |
en_US |
dc.description.department |
Paediatrics and Child Health |
en_US |
dc.description.department |
Psychology |
en_US |
dc.description.librarian |
am2024 |
en_US |
dc.description.sdg |
SDG-03:Good heatlh and well-being |
en_US |
dc.description.sponsorship |
The Solidarity Fund, South Africa, the Human Sciences Research Council, South Africa, and the National Institute for Communicable Diseases, South Africa. |
en_US |
dc.description.uri |
https://journals.plos.org/globalpublichealth/ |
en_US |
dc.identifier.citation |
Moyo, S., Simbayi, L.C., Zuma, K., Zungu, N., Marinda, E., Jooste, S., et al. (2023) Seroprevalence survey of anti-SARS-CoV-2 antibody and
associated factors in South Africa: Findings of the 2020–2021 population-based household survey. PLoS Global Public Health 3(9): e0002358. https://DOI.org/10.1371/journal.pgph.0002358. |
en_US |
dc.identifier.issn |
2767-3375 (online) |
|
dc.identifier.other |
10.1371/journal.pgph.0002358 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/98280 |
|
dc.language.iso |
en |
en_US |
dc.publisher |
Public Library of Science |
en_US |
dc.rights |
© 2023 Moyo et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License. |
en_US |
dc.subject |
Women |
en_US |
dc.subject |
Infection |
en_US |
dc.subject |
COVID-19 pandemic |
en_US |
dc.subject |
Coronavirus disease 2019 (COVID-19) |
en_US |
dc.subject |
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) |
en_US |
dc.subject |
Seroprevalence survey |
en_US |
dc.subject |
South Africa (SA) |
en_US |
dc.subject |
SDG-03: Good health and well-being |
en_US |
dc.title |
Seroprevalence survey of anti-SARS-CoV-2 antibody and associated factors in South Africa : findings of the 2020–2021 population-based household survey |
en_US |
dc.type |
Article |
en_US |