SARS-CoV-2 IgG Seroprevalence among Blood Donors as a Monitor of the COVID-19 Epidemic, Brazil

Abstract

During epidemics, data from different sources can provide information on varying aspects of the epidemic process. Serology-based epidemiologic surveys could be used to compose a consistent epidemic scenario. We assessed the seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) IgG in serum samples collected from 7,837 blood donors in 7 cities of Brazil during March-December 2020. Based on our results, we propose a modification in a compartmental model that uses reported number of SARS-CoV-2 cases and serology results from blood donors as inputs and delivers estimates of hidden variables, such as daily values of SARS-CoV-2 transmission rates and cumulative incidence rate of reported and unreported SARS-CoV-2 cases. We concluded that the information about cumulative incidence of a disease in a city's population can be obtained by testing serum samples collected from blood donors. Our proposed method also can be extended to surveillance of other infectious diseases.

Publication DOI: https://doi.org/10.3201/eid2804.211961
Divisions: College of Engineering & Physical Sciences
Additional Information: Chaves DG, Takahashi RHC, Campelo F, da Silva-Malta MCF, de Oliveira IR, Barbosa-Stancioli EF, et al. SARS-CoV-2 IgG seroprevalence among blood donors as a monitor of the COVID-19 epidemic, Brazil. Emerg Infect Dis. 2022 Apr [date cited]. https://doi.org/10.3201/eid2804.211961
Uncontrolled Keywords: Antibodies, Viral,Blood Donors,Brazil/epidemiology,COVID-19/epidemiology,Epidemics,Humans,Immunoglobulin G,SARS-CoV-2,Seroepidemiologic Studies
Publication ISSN: 1080-6040
Last Modified: 17 Jun 2024 08:01
Date Deposited: 04 Feb 2022 13:55
Full Text Link:
Related URLs: https://wwwnc.c ... 21-1961_article (Publisher URL)
PURE Output Type: Article
Published Date: 2022-04
Published Online Date: 2022-02-18
Accepted Date: 2022-02-01
Authors: G. Chaves, Daniel
Takahashi, Ricardo H.C.
Campelo, Felipe (ORCID Profile 0000-0001-8432-4325)
F.S. Malta, Maria Clara
R. Oliveira, Isabelle
F. Barbosa-Stancioli, Edel
A. Ribeiro, Maisa
L. Martins, Marina

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