Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng por |
Título da fonte: | Revista de Saúde Pública |
Texto Completo: | https://www.revistas.usp.br/rsp/article/view/176836 |
Resumo: | OBJECTIVE: To estimate the seroprevalence of antibodies to SARS-CoV-2 among blood donors in the state of Rio de Janeiro, Brazil. METHODS: Data were collected on 2,857 blood donors from April 14 to 27, 2020. This study reports crude prevalence of antibodies to SARS-CoV-2, population weighted prevalence for the state, and prevalence adjusted for test sensitivity and specificity. Logistic regression models were used to establish the correlates of SARS-CoV-2 prevalence. For the analysis, we considered collection period and site, sociodemographic characteristics, and place of residence. RESULTS: The proportion of positive tests for SARS-Cov-2, without any adjustment, was 4.0% (95%CI 3.3–4.7%), and the weighted prevalence was 3.8% (95%CI 3.1–4.5%). We found lower estimates after adjusting for test sensitivity and specificity: 3.6% (95%CI 2.7–4.4%) for the non-weighted prevalence, and 3.3% (95%CI 2.6–4.1%) for the weighted prevalence. Collection period was the variable most significantly associated with crude prevalence: the later the period, the higher the prevalence. Regarding sociodemographic characteristics, the younger the blood donor, the higher the prevalence, and the lower the education level, the higher the odds of testing positive for SARS-Cov-2 antibody. We found similar results for weighted prevalence. CONCLUSIONS: Our findings comply with some basic premises: the increasing trend over time, as the epidemic curve in the state is still on the rise; and the higher prevalence among both the youngest, for moving around more than older age groups, and the less educated, for encountering more difficulties in following social distancing recommendations. Despite the study limitations, we may infer that Rio de Janeiro is far from reaching the required levels of herd immunity against SARS-CoV-2. |
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Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, BrazilCoronavirus Infections, immunologyBlood DonorsSerologic TestsSeroepidemiologic StudiesOBJECTIVE: To estimate the seroprevalence of antibodies to SARS-CoV-2 among blood donors in the state of Rio de Janeiro, Brazil. METHODS: Data were collected on 2,857 blood donors from April 14 to 27, 2020. This study reports crude prevalence of antibodies to SARS-CoV-2, population weighted prevalence for the state, and prevalence adjusted for test sensitivity and specificity. Logistic regression models were used to establish the correlates of SARS-CoV-2 prevalence. For the analysis, we considered collection period and site, sociodemographic characteristics, and place of residence. RESULTS: The proportion of positive tests for SARS-Cov-2, without any adjustment, was 4.0% (95%CI 3.3–4.7%), and the weighted prevalence was 3.8% (95%CI 3.1–4.5%). We found lower estimates after adjusting for test sensitivity and specificity: 3.6% (95%CI 2.7–4.4%) for the non-weighted prevalence, and 3.3% (95%CI 2.6–4.1%) for the weighted prevalence. Collection period was the variable most significantly associated with crude prevalence: the later the period, the higher the prevalence. Regarding sociodemographic characteristics, the younger the blood donor, the higher the prevalence, and the lower the education level, the higher the odds of testing positive for SARS-Cov-2 antibody. We found similar results for weighted prevalence. CONCLUSIONS: Our findings comply with some basic premises: the increasing trend over time, as the epidemic curve in the state is still on the rise; and the higher prevalence among both the youngest, for moving around more than older age groups, and the less educated, for encountering more difficulties in following social distancing recommendations. Despite the study limitations, we may infer that Rio de Janeiro is far from reaching the required levels of herd immunity against SARS-CoV-2. Universidade de São Paulo. Faculdade de Saúde Pública2020-07-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlhttps://www.revistas.usp.br/rsp/article/view/17683610.11606/s1518-8787.2020054002643Revista de Saúde Pública; Vol. 54 (2020); 69Revista de Saúde Pública; Vol. 54 (2020); 69Revista de Saúde Pública; v. 54 (2020); 691518-87870034-8910reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USPengporhttps://www.revistas.usp.br/rsp/article/view/176836/164160https://www.revistas.usp.br/rsp/article/view/176836/171047Copyright (c) 2020 Luiz Amorim Filho, Célia Landmann Szwarcwald, Sheila de Oliveira Garcia Mateos, Antonio Carlos Monteiro Ponce de Leon, Roberto de Andrade Medronho, Valdiléa Gonçalves Veloso, Josiane Iole França Lopes, Luis Cristovão de Moraes Sobrino Porto, Alexandre Chieppe, Guilherme Loureiro Werneck, Grupo Hemorio de Pesquisa em Covid-19http://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAmorim Filho, LuizSzwarcwald, Célia Landmann Mateos, Sheila de Oliveira Garcia Ponce de Leon, Antonio Carlos Monteiro Medronho, Roberto de AndradeVeloso, Valdiléa Gonçalves Lopes, Josiane Iole França Porto, Luis Cristovão de Moraes Sobrino Chieppe, Alexandre Werneck, Guilherme Loureiro 2020-10-28T19:06:37Zoai:revistas.usp.br:article/176836Revistahttps://www.revistas.usp.br/rsp/indexONGhttps://www.revistas.usp.br/rsp/oairevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2020-10-28T19:06:37Revista de Saúde Pública - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, Brazil |
title |
Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, Brazil |
spellingShingle |
Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, Brazil Amorim Filho, Luiz Coronavirus Infections, immunology Blood Donors Serologic Tests Seroepidemiologic Studies |
title_short |
Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, Brazil |
title_full |
Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, Brazil |
title_fullStr |
Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, Brazil |
title_full_unstemmed |
Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, Brazil |
title_sort |
Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, Brazil |
author |
Amorim Filho, Luiz |
author_facet |
Amorim Filho, Luiz Szwarcwald, Célia Landmann Mateos, Sheila de Oliveira Garcia Ponce de Leon, Antonio Carlos Monteiro Medronho, Roberto de Andrade Veloso, Valdiléa Gonçalves Lopes, Josiane Iole França Porto, Luis Cristovão de Moraes Sobrino Chieppe, Alexandre Werneck, Guilherme Loureiro |
author_role |
author |
author2 |
Szwarcwald, Célia Landmann Mateos, Sheila de Oliveira Garcia Ponce de Leon, Antonio Carlos Monteiro Medronho, Roberto de Andrade Veloso, Valdiléa Gonçalves Lopes, Josiane Iole França Porto, Luis Cristovão de Moraes Sobrino Chieppe, Alexandre Werneck, Guilherme Loureiro |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Amorim Filho, Luiz Szwarcwald, Célia Landmann Mateos, Sheila de Oliveira Garcia Ponce de Leon, Antonio Carlos Monteiro Medronho, Roberto de Andrade Veloso, Valdiléa Gonçalves Lopes, Josiane Iole França Porto, Luis Cristovão de Moraes Sobrino Chieppe, Alexandre Werneck, Guilherme Loureiro |
dc.subject.por.fl_str_mv |
Coronavirus Infections, immunology Blood Donors Serologic Tests Seroepidemiologic Studies |
topic |
Coronavirus Infections, immunology Blood Donors Serologic Tests Seroepidemiologic Studies |
description |
OBJECTIVE: To estimate the seroprevalence of antibodies to SARS-CoV-2 among blood donors in the state of Rio de Janeiro, Brazil. METHODS: Data were collected on 2,857 blood donors from April 14 to 27, 2020. This study reports crude prevalence of antibodies to SARS-CoV-2, population weighted prevalence for the state, and prevalence adjusted for test sensitivity and specificity. Logistic regression models were used to establish the correlates of SARS-CoV-2 prevalence. For the analysis, we considered collection period and site, sociodemographic characteristics, and place of residence. RESULTS: The proportion of positive tests for SARS-Cov-2, without any adjustment, was 4.0% (95%CI 3.3–4.7%), and the weighted prevalence was 3.8% (95%CI 3.1–4.5%). We found lower estimates after adjusting for test sensitivity and specificity: 3.6% (95%CI 2.7–4.4%) for the non-weighted prevalence, and 3.3% (95%CI 2.6–4.1%) for the weighted prevalence. Collection period was the variable most significantly associated with crude prevalence: the later the period, the higher the prevalence. Regarding sociodemographic characteristics, the younger the blood donor, the higher the prevalence, and the lower the education level, the higher the odds of testing positive for SARS-Cov-2 antibody. We found similar results for weighted prevalence. CONCLUSIONS: Our findings comply with some basic premises: the increasing trend over time, as the epidemic curve in the state is still on the rise; and the higher prevalence among both the youngest, for moving around more than older age groups, and the less educated, for encountering more difficulties in following social distancing recommendations. Despite the study limitations, we may infer that Rio de Janeiro is far from reaching the required levels of herd immunity against SARS-CoV-2. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-06 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/176836 10.11606/s1518-8787.2020054002643 |
url |
https://www.revistas.usp.br/rsp/article/view/176836 |
identifier_str_mv |
10.11606/s1518-8787.2020054002643 |
dc.language.iso.fl_str_mv |
eng por |
language |
eng por |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/176836/164160 https://www.revistas.usp.br/rsp/article/view/176836/171047 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/xml |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
dc.source.none.fl_str_mv |
Revista de Saúde Pública; Vol. 54 (2020); 69 Revista de Saúde Pública; Vol. 54 (2020); 69 Revista de Saúde Pública; v. 54 (2020); 69 1518-8787 0034-8910 reponame:Revista de Saúde Pública instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista de Saúde Pública |
collection |
Revista de Saúde Pública |
repository.name.fl_str_mv |
Revista de Saúde Pública - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
revsp@org.usp.br||revsp1@usp.br |
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1800221801396043776 |