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May 24, 20260 citationsOpen Access

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

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HCHuman Sciences Research Council

Key Points

  • This research aims to assess the seroprevalence of anti-SARS-CoV-2 antibodies in South Africa and identify associated factors.
  • Cross-sectional multi-stage random stratified cluster survey conducted from November 2020 to June 2021.
  • Collected sociodemographic data, medical history, behavioral data, and blood samples from participants aged 12 and older.
  • SARS-CoV-2 antibodies were tested using Roche ElecsysAnti-SARS-CoV-2 chemiluminescence immunoassay.
  • SARS-CoV-2 seroprevalence was 37.8% (95% CI: 35.4-40.4), varying by province, sex, age, and locality.
  • Women had higher odds of seropositivity compared to men (aOR = 1.3, 95% CI: 1.0-1.6, p = 0.027).
  • Those living with HIV had higher odds of seropositivity (aOR = 1.6, 95% CI: 1.0-2.4, p = 0.031).

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.

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Cite This Study

Human Sciences Research Council (2026) studied this question.

synapsesocial.com/papers/6a1296d548a0ea1665673fc5https://doi.org/10.14749/32362863
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