Using Regional Sero-Epidemiology SARS-CoV-2 Anti-S Antibodies in the Dominican Republic to Inform Targeted Public Health Response

Author:

Mario Martin Beatris1ORCID,Cadavid Restrepo Angela1,Mayfield Helen J.1ORCID,Then Paulino Cecilia2,De St Aubin Micheal34,Duke William5,Jarolim Petr36,Zielinski Gutiérrez Emily7,Skewes Ramm Ronald2,Dumas Devan34,Garnier Salome34ORCID,Etienne Marie Caroline3,Peña Farah2ORCID,Abdalla Gabriela3,Lopez Beatriz7ORCID,de la Cruz Lucia2,Henríquez Bernarda2,Baldwin Margaret34,Sartorius Benn1,Kucharski Adam8,Nilles Eric James346ORCID,Lau Colleen L.1ORCID

Affiliation:

1. School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4006, Australia

2. Ministry of Health and Social Assistance, Santo Domingo 10514, Dominican Republic

3. Brigham and Women’s Hospital, Boston, MA 02115, USA

4. Infectious Diseases and Epidemics Program, Harvard Humanitarian Initiative, Cambridge, MA 02138, USA

5. Faculty of Health Sciences, Pedro Henriquez Urena National University, Santo Domingo 10514, Dominican Republic

6. Harvard Medical School, Boston, MA 02115, USA

7. Centers for Disease Control and Prevention, Central America Regional Office, Guatemala City 01015, Guatemala

8. Department of Infectious Disease Epidemiology and Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK

Abstract

Incidence of COVID-19 has been associated with sociodemographic factors. We investigated variations in SARS-CoV-2 seroprevalence at sub-national levels in the Dominican Republic and assessed potential factors influencing variation in regional-level seroprevalence. Data were collected in a three-stage cross-sectional national serosurvey from June to October 2021. Seroprevalence of antibodies against the SARS-CoV-2 spike protein (anti-S) was estimated and adjusted for selection probability, age, and sex. Multilevel logistic regression was used to estimate the effect of covariates on seropositivity for anti-S and correlates of 80% protection (PT80) against symptomatic infection for the ancestral and Delta strains. A total of 6683 participants from 134 clusters in all 10 regions were enrolled. Anti-S, PT80 for the ancestral and Delta strains odds ratio varied across regions, Enriquillo presented significant higher odds for all outcomes compared with Yuma. Compared to being unvaccinated, receiving ≥2 doses of COVID-19 vaccine was associated with a significantly higher odds of anti-S positivity (OR 85.94, [10.95–674.33]) and PT80 for the ancestral (OR 4.78, [2.15–10.62]) and Delta strains (OR 3.08, [1.57–9.65]) nationally and also for each region. Our results can help inform regional-level public health response, such as strategies to increase vaccination coverage in areas with low population immunity against currently circulating strains.

Funder

a US Centers for Disease Control and Prevention (CDC) U01 Cooperative Agreement

Australian National Health and Medical Research Council Fellowship

Publisher

MDPI AG

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,General Immunology and Microbiology

Reference61 articles.

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3. (2021, October 24). Worldometers.info. Available online: https://www.worldometers.info/coronavirus/.

4. Paulino-Ramírez, R., López, P., Mueses, S., Cuevas, P., Jabier, M., and Rivera-Amill, V. (2023). Genomic Surveillance of SARS-CoV-2 Variants in the Dominican Republic and Emergence of a Local Lineage. Int. J. Environ. Res. Public Health, 20.

5. Estimates of global SARS-CoV-2 infection exposure, infection morbidity, and infection mortality rates in 2020;Ayoub;Glob. Epidemiol.,2021

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