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

Daniel G. Chaves; Ricardo H.C. Takahashi; Felipe Campelo; Maria Clara F.S. Malta; Isabelle R. Oliveira; Edel F. Barbosa-Stancioli; Maisa A. Ribeiro; Marina L. Martins

doi:10.3201/eid2804.211961

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

Daniel G. Chaves^*, Ricardo H.C. Takahashi, Felipe Campelo, Maria Clara F.S. Malta, Isabelle R. Oliveira, Edel F. Barbosa-Stancioli, Maisa A. Ribeiro, Marina L. Martins

^*Corresponding author for this work

College of Engineering and Physical Sciences

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	734-742
Number of pages	9
Journal	Emerging Infectious Diseases
Volume	28
Issue number	4
Early online date	18 Feb 2022
DOIs	https://doi.org/10.3201/eid2804.211961
Publication status	Published - Apr 2022

Bibliographical note

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

Keywords

Antibodies, Viral
Blood Donors
Brazil/epidemiology
COVID-19/epidemiology
Epidemics
Humans
Immunoglobulin G
SARS-CoV-2
Seroepidemiologic Studies

Access to Document

10.3201/eid2804.211961

Seroprevalence of IgG anti-SARS-CoV-2 in blood donors
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
Accepted author manuscript, 3.6 MB

Cite this

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title = "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.",

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note = "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",

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AU - Takahashi, Ricardo H.C.

AU - Campelo, Felipe

AU - F.S. Malta, Maria Clara

AU - R. Oliveira, Isabelle

AU - F. Barbosa-Stancioli, Edel

AU - A. Ribeiro, Maisa

AU - L. Martins, Marina

N1 - 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

PY - 2022/4

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N2 - 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.

AB - 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.

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KW - COVID-19/epidemiology

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KW - Immunoglobulin G

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KW - Seroepidemiologic Studies

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ER -

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

Abstract

Bibliographical note

Keywords

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