Evidence map›Paper›PMID 37747851›Full record

ArticlePLOS global public health2023

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

Sizulu Moyo, Leickness C Simbayi, Khangelani Zuma, Nompumelelo Zungu, Edmore Marinda, Sean Jooste, Shandir Ramlagan, Mirriam Fortuin, Beverley Singh, Musawenkosi Mabaso and 9 more

Open access · goldAbstract read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

9 citing papers in PubMed, 7 citations in OpenAlex.

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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

19 authors at 4 institutions in 1 country.

Sizulu MoyoHuman Sciences Research Council, Pretoria, South Africa.ORCID https://orcid.org/0000-0002-5296-3242
Leickness C SimbayiHuman Sciences Research Council, Pretoria, South Africa.
Khangelani ZumaHuman Sciences Research Council, Pretoria, South Africa.
Nompumelelo ZunguHuman Sciences Research Council, Pretoria, South Africa.
Edmore MarindaHuman Sciences Research Council, Pretoria, South Africa.
Sean JoosteHuman Sciences Research Council, Pretoria, South Africa.
Shandir RamlaganHuman Sciences Research Council, Pretoria, South Africa.
Mirriam FortuinNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
Beverley SinghNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
Musawenkosi MabasoHuman Sciences Research Council, Pretoria, South Africa.
Tarylee ReddyBiostatistics Research Unit (TR and SMa)/ HIV and other Infectious Diseases Research Unit (AG and NN), South African Medical Research Council, Cape Town, South Africa.
Whadi-Ah ParkerHuman Sciences Research Council, Pretoria, South Africa.
Inbarani NaidooHuman Sciences Research Council, Pretoria, South Africa.
Samuel MandaBiostatistics Research Unit (TR and SMa)/ HIV and other Infectious Diseases Research Unit (AG and NN), South African Medical Research Council, Cape Town, South Africa.
Ameena GogaBiostatistics Research Unit (TR and SMa)/ HIV and other Infectious Diseases Research Unit (AG and NN), South African Medical Research Council, Cape Town, South Africa.
Nobubelo NganduBiostatistics Research Unit (TR and SMa)/ HIV and other Infectious Diseases Research Unit (AG and NN), South African Medical Research Council, Cape Town, South Africa.ORCID https://orcid.org/0000-0001-8883-3821
Cherie CawoodEpicentre, Randburg, South Africa.
Penny L MooreNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
Adrian PurenNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
Human Sciences Research Council · ZANational Health Laboratory Service · ZASouth African Medical Research Council · ZAEpicentre (South Africa) · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID37747851
PMCPMC10519586
OpenAlexW4387025425

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.