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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-...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2022
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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. |
format | Online Article Text |
id | pubmed-8962887 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
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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