The evolution and interpretation of seroprevalence of SARS‐CoV‐2 antibodies among South African blood donors from the Beta to Omicron variant‐driven waves

Author:

Vermeulen Marion12ORCID,Mhlanga Laurette34,Sykes Wendy1,Cable Russell5,Coleman Charl1,Pietersen Nadia5,Swanevelder Ronel1,Glatt Tanya Nadia16ORCID,Bingham Jeremy3,van den Berg Karin127ORCID,Grebe Eduard389,Welte Alex3

Affiliation:

1. South African National Blood Service Johannesburg South Africa

2. University of the Free State Bloemfontein South Africa

3. DSI‐NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA) Stellenbosch University Stellenbosch South Africa

4. Northwestern University Chicago Illinois USA

5. Western Cape Blood Service Cape Town South Africa

6. University of Johannesburg Johannesburg South Africa

7. University of Cape Town Rondebosch South Africa

8. Vitalant Research Institute San Francisco California USA

9. University of California San Francisco San Francisco California USA

Abstract

AbstractBackground and ObjectivesConfirmed COVID‐19 diagnoses underestimate the total number of infections. Blood donors can provide representative seroprevalence estimates, which can be leveraged into reasonable estimates of total infection counts and infection fatality rate (IFR).Materials and MethodsBlood donors who donated after each of three epidemic waves (Beta, Delta and first Omicron waves) were tested for anti‐SARS‐CoV‐2 nucleocapsid antibodies using the Roche Elecsys anti‐SARS‐CoV‐2 total immunoglobulin assay. Roche Elecsys anti‐spike antibody testing was done for the post‐Omicron sampling. Prevalence of antibodies was estimated by age, sex, race and province and compared to official case reporting. Province and age group‐specific IFRs were estimated using external excess mortality estimates.ResultsThe nationally weighted anti‐nucleocapsid seroprevalence estimates after the Beta, Delta and Omicron waves were 47% (46.2%–48.6%), 71% (68.8%–73.5%) and 87% (85.5%–88.4%), respectively. There was no variation by age and sex, but there were statistically and epidemiologically significant differences by province (except at the latest time point) and race. There was a 13‐fold higher seroprevalence than confirmed case counts at the first time point. Age‐dependent IFR roughly doubled for every 10 years of age increase over 6 decades from 0.014% in children to 6.793% in octogenarians.ConclusionDiscrepancies were found between seroprevalence and confirmed case counts. High seroprevalence rates found among Black African donors can be ascribed to historical inequities. Our IFR estimates were useful in refining previous large disagreements about the severity of the epidemic in South Africa. Blood donor‐based serosurveys provided a valuable and efficient way to provide near real‐time monitoring of the ongoing SARS‐CoV‐2 outbreak.

Publisher

Wiley

Subject

Hematology,General Medicine

Reference41 articles.

1. Department of Health SA.Department of Health COVID‐19 Online Resource and News Portal. Available from:https://sacoronavirus.co.za/covid-19-daily-cases/. Last accessed 8 Dec 2022.

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4. PatonC.The huge gap between excess natural deaths and confirmed COVID‐19 deaths may indicate that the latter is under‐reported by up to 10 times. Available from:https://www.businesslive.co.za/bd/national/2020-07-23-sa-covid-19-deaths-60-higher-than-reported-says-mrc/. Last accessed 12 Dec 2023.

5. Heever Avd.Lockdown restrictions are not responsible for massive increase in mortality. Ground Up. Available from:https://www.groundup.org.za/author/537/. Last accessed 1 Feb 2021.

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