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

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-...

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Autores principales: Chaves, Daniel Gonçalves, Takahashi, Ricardo Hiroshi Caldeira, Campelo, Felipe, da Silva Malta, Maria Clara Fernandes, de Oliveira, Isabelle Rocha, Barbosa-Stancioli, Edel Figueiredo, Ribeiro, Maísa Aparecida, Martins, Marina Lobato
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962887/
https://www.ncbi.nlm.nih.gov/pubmed/35180375
http://dx.doi.org/10.3201/eid2804.211961
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author Chaves, Daniel Gonçalves
Takahashi, Ricardo Hiroshi Caldeira
Campelo, Felipe
da Silva Malta, Maria Clara Fernandes
de Oliveira, Isabelle Rocha
Barbosa-Stancioli, Edel Figueiredo
Ribeiro, Maísa Aparecida
Martins, Marina Lobato
author_facet Chaves, Daniel Gonçalves
Takahashi, Ricardo Hiroshi Caldeira
Campelo, Felipe
da Silva Malta, Maria Clara Fernandes
de Oliveira, Isabelle Rocha
Barbosa-Stancioli, Edel Figueiredo
Ribeiro, Maísa Aparecida
Martins, Marina Lobato
author_sort Chaves, Daniel Gonçalves
collection PubMed
description 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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spelling pubmed-89628872022-04-02 SARS-CoV-2 IgG Seroprevalence among Blood Donors as a Monitor of the COVID-19 Epidemic, Brazil Chaves, Daniel Gonçalves Takahashi, Ricardo Hiroshi Caldeira Campelo, Felipe da Silva Malta, Maria Clara Fernandes de Oliveira, Isabelle Rocha Barbosa-Stancioli, Edel Figueiredo Ribeiro, Maísa Aparecida Martins, Marina Lobato Emerg Infect Dis Research 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. Centers for Disease Control and Prevention 2022-04 /pmc/articles/PMC8962887/ /pubmed/35180375 http://dx.doi.org/10.3201/eid2804.211961 Text en https://creativecommons.org/licenses/by/4.0/Emerging Infectious Diseases is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
Chaves, Daniel Gonçalves
Takahashi, Ricardo Hiroshi Caldeira
Campelo, Felipe
da Silva Malta, Maria Clara Fernandes
de Oliveira, Isabelle Rocha
Barbosa-Stancioli, Edel Figueiredo
Ribeiro, Maísa Aparecida
Martins, Marina Lobato
SARS-CoV-2 IgG Seroprevalence among Blood Donors as a Monitor of the COVID-19 Epidemic, Brazil
title SARS-CoV-2 IgG Seroprevalence among Blood Donors as a Monitor of the COVID-19 Epidemic, Brazil
title_full SARS-CoV-2 IgG Seroprevalence among Blood Donors as a Monitor of the COVID-19 Epidemic, Brazil
title_fullStr SARS-CoV-2 IgG Seroprevalence among Blood Donors as a Monitor of the COVID-19 Epidemic, Brazil
title_full_unstemmed SARS-CoV-2 IgG Seroprevalence among Blood Donors as a Monitor of the COVID-19 Epidemic, Brazil
title_short SARS-CoV-2 IgG Seroprevalence among Blood Donors as a Monitor of the COVID-19 Epidemic, Brazil
title_sort sars-cov-2 igg seroprevalence among blood donors as a monitor of the covid-19 epidemic, brazil
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962887/
https://www.ncbi.nlm.nih.gov/pubmed/35180375
http://dx.doi.org/10.3201/eid2804.211961
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