SARS-CoV-2 transmission, persistence of immunity, and estimates of Omicron’s impact in South African population cohorts

Author:

Sun Kaiyuan1ORCID,Tempia Stefano234ORCID,Kleynhans Jackie23ORCID,von Gottberg Anne25ORCID,McMorrow Meredith L.4ORCID,Wolter Nicole25ORCID,Bhiman Jinal N.25ORCID,Moyes Jocelyn23ORCID,du Plessis Mignon25,Carrim Maimuna25ORCID,Buys Amelia2,Martinson Neil A.67,Kahn Kathleen8ORCID,Tollman Stephen8ORCID,Lebina Limakatso6ORCID,Wafawanaka Floidy8ORCID,du Toit Jacques D.8ORCID,Gómez-Olivé Francesc Xavier8ORCID,Mkhencele Thulisa2ORCID,Viboud Cécile1ORCID,Cohen Cheryl23ORCID

Affiliation:

1. Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD 20892-2220, USA.

2. Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, 2131, South Africa.

3. School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.

4. Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, 30333, USA.

5. School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2000, South Africa.

6. Perinatal HIV Research Unit, University of the Witwatersrand, 1864, South Africa.

7. Johns Hopkins University Center for TB Research, Baltimore, MD, 21287, USA.

8. MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.

Abstract

Understanding the build-up of immunity with successive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants and the epidemiological conditions that favor rapidly expanding epidemics will help facilitate future pandemic control. We analyzed high-resolution infection and serology data from two longitudinal household cohorts in South Africa to reveal high cumulative infection rates and durable cross-protective immunity conferred by prior infection in the pre-Omicron era. Building on the history of past exposures to different SARS-CoV-2 variants and vaccination in the cohort most representative of South Africa’s high urbanization rate, we used mathematical models to explore the fitness advantage of the Omicron variant and its epidemic trajectory. Modeling suggests that the Omicron wave likely infected a large fraction (44 to 81%) of the population, leaving a complex landscape of population immunity primed and boosted with antigenically distinct variants. We project that future SARS-CoV-2 resurgences are likely under a range of scenarios of viral characteristics, population contacts, and residual cross-protection.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

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