Sentinel seroprevalence of SARS-CoV-2 in Gauteng Province, South Africa, August- October 2020

被引:9
|
作者
George, J. A. [1 ,2 ]
Khoza, S. [1 ,2 ]
Mayne, E. [2 ,3 ]
Dlamini, S. [1 ,2 ]
Kone, N. [1 ,2 ]
Jassat, W. [4 ]
Chetty, K. [2 ]
Centner, C. [5 ,6 ]
Pillay, T. [1 ,2 ]
Maphayi, M. [1 ,2 ]
Mabuza, D. [1 ,2 ]
Maposa, I [7 ]
Cassim, N. [2 ,8 ]
机构
[1] Univ Witwatersrand, Fac Hlth Sci, Dept Chem Pathol, Johannesburg, South Africa
[2] Natl Hlth Lab Serv, Johannesburg, South Africa
[3] Univ Witwatersrand, Fac Hlth Sci, Dept Immunol, Johannesburg, South Africa
[4] Natl Inst Communicable Dis, Natl Hlth Lab Serv, Div Publ Hlth Surveillance & Response, Johannesburg, South Africa
[5] Univ Cape Town, Natl Hlth Lab Serv, Groote Schuur Hosp, Div Med Microbiol, Cape Town, South Africa
[6] Univ Cape Town, Fac Hlth Sci, Cape Town, South Africa
[7] Univ Witwatersrand, Fac Hlth Sci, Sch Publ Hlth, Div Epidemiol & Biostat, Johannesburg, South Africa
[8] Univ Witwatersrand, Fac Hlth Sci, Dept Mol Med & Haematol, Johannesburg, South Africa
来源
SAMJ SOUTH AFRICAN MEDICAL JOURNAL | 2021年 / 111卷 / 11期
关键词
D O I
10.7196/SAMJ.2021.v111i11.15669
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background. Estimates of prevalence of anti-SARS-CoV-2 antibody positivity (seroprevalence) for tracking the COVID-19 epidemic are lacking for most African countries. Objectives. To determine the prevalence of antibodies against SARS-CoV-2 in a sentinel cohort of patient samples received for routine testing at tertiary laboratories in Johannesburg, South Africa. Methods. This sentinel study was conducted using remnant serum samples received at three National Health Laboratory Service laboratories in the City of Johannesburg (CoJ) district. Collection was from 1 August to 31 October 2020. We extracted accompanying laboratory results for glycated haemoglobin (HbA1c), creatinine, HIV, viral load and CD4 T-cell count. An anti-SARS-CoV-2 targeting the nucleocapsid (N) protein of the coronavirus with higher affinity for IgM and IgG antibodies was used. We reported crude as well as population-weighted and test-adjusted seroprevalence. Multivariate logistic regression analysis was used to determine whether age, sex, HIV and diabetic status were associated with increased risk for seropositivity. Results. A total of 6 477 samples were analysed, the majority (n=5 290) from the CoJ region. After excluding samples with no age or sex stated, the model population-weighted and test-adjusted seroprevalence for the CoJ (n=4 393) was 27.0% (95% confidence interval (CI) 25.4 -28.6). Seroprevalence was highest in those aged 45 -49 years (29.8%; 95% CI 25.5 -35.0) and in those from the most densely populated areas of the CoJ. Risk for seropositivity was highest in those aged 18 -49 years (adjusted odds ratio (aOR) 1.52; 95% CI 1.13 -2.13; p=0.0005) and in samples from diabetics (aOR 1.36; 95% CI 1.13 -1.63; p=0.001). Conclusions. Our study conducted between the first and second waves of the pandemic shows high levels of current infection among patients attending public health facilities in Gauteng Province.
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页码:1078 / 1083
页数:6
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