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Seroprevalence survey of anti-SARS-CoV-2 antibody and associated factors in South Africa: Findings of the 2020–2021 population-based household survey

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...

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Detalles Bibliográficos
Autores principales: Moyo, Sizulu, Simbayi, Leickness C., Zuma, Khangelani, Zungu, Nompumelelo, Marinda, Edmore, Jooste, Sean, Ramlagan, Shandir, Fortuin, Mirriam, Singh, Beverley, Mabaso, Musawenkosi, Reddy, Tarylee, Parker, Whadi-ah, Naidoo, Inbarani, Manda, Samuel, Goga, Ameena, Ngandu, Nobubelo, Cawood, Cherie, Moore, Penny L., Puren, Adrian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519586/
https://www.ncbi.nlm.nih.gov/pubmed/37747851
http://dx.doi.org/10.1371/journal.pgph.0002358
Descripción
Sumario: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.