Seroprevalence of IgG and IgM anti-SARS-CoV-2 among voluntary blood donors in Rio de Janeiro, Brazil

Detalhes bibliográficos
Autor(a) principal: Amorim Filho, Luiz
Data de Publicação: 2020
Outros Autores: Szwarcwald, Célia Landmann, Mateos, Sheila de Oliveira Garcia, Leon, Antonio Carlos Monteiro Ponce de, Medronho, Roberto de Andrade, Veloso, Valdiléa Gonçalves, Lopes, Josiane Iole França, Porto, Luis Cristovão de Moraes Sobrino, Chieppe, Alexandre, Werneck, Guilherme Loureiro
Tipo de documento: preprint
Idioma: eng
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/404
Resumo: Background: In Brazil, mathematical models for deriving estimates and projections of COVID-19 cases have been developed without data on asymptomatic SARS-CoV-2 infection. We estimated the seroprevalence of antibodies to SARS-CoV-2 among blood donors in the State of Rio de Janeiro. Methods: Data were collected on 2,857 blood donors from April 14 to 27, 2020. We report the crude prevalence of antibodies to SARS-CoV-2, the weighted prevalence by the total state population, and adjusted prevalence estimates for test sensitivity and specificity. To establish the correlates of SARS-CoV-2 prevalence, we used logistic regression models. The analysis included period and site of blood collection, sociodemographic characteristics, and place of residence. Results: The proportion of SARS-Cov-2 positive tests 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%). Further adjustment by test sensitivity and specificity produced lower estimates, 3.6% (95% CI 2.7-4.4%) and 3.3% (95% CI 2.6-4.1%), respectively. The variable most significantly associated with the crude prevalence was the period of blood collection: the later the period, the higher the prevalence. Regarding socio-demographic characteristics, the younger the blood donors, the higher the prevalence, and the lower the educational level, the higher the odds of a positive SARS-Cov-2 antibody. Similar results were found for the weighted prevalence. Discussion: Although our findings resulted from a convenience sample, they match some basic premises: the increasing trend over time, since the epidemic curve in the state is still on the rise; the higher prevalence among the youngest who are more likely to circulate; and the higher prevalence among the less educated as they have more difficulties in following the social distancing recommendations. Despite the study limitations, it is possible to infer that protective levels of natural herd immunity to SARS-CoV-2 are far from being reached in Rio de Janeiro.
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spelling Seroprevalence of IgG and IgM anti-SARS-CoV-2 among voluntary blood donors in Rio de Janeiro, BrazilCOVID-19Blood donorsPrevalenceSerologySARS-CoV-2Background: In Brazil, mathematical models for deriving estimates and projections of COVID-19 cases have been developed without data on asymptomatic SARS-CoV-2 infection. We estimated the seroprevalence of antibodies to SARS-CoV-2 among blood donors in the State of Rio de Janeiro. Methods: Data were collected on 2,857 blood donors from April 14 to 27, 2020. We report the crude prevalence of antibodies to SARS-CoV-2, the weighted prevalence by the total state population, and adjusted prevalence estimates for test sensitivity and specificity. To establish the correlates of SARS-CoV-2 prevalence, we used logistic regression models. The analysis included period and site of blood collection, sociodemographic characteristics, and place of residence. Results: The proportion of SARS-Cov-2 positive tests 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%). Further adjustment by test sensitivity and specificity produced lower estimates, 3.6% (95% CI 2.7-4.4%) and 3.3% (95% CI 2.6-4.1%), respectively. The variable most significantly associated with the crude prevalence was the period of blood collection: the later the period, the higher the prevalence. Regarding socio-demographic characteristics, the younger the blood donors, the higher the prevalence, and the lower the educational level, the higher the odds of a positive SARS-Cov-2 antibody. Similar results were found for the weighted prevalence. Discussion: Although our findings resulted from a convenience sample, they match some basic premises: the increasing trend over time, since the epidemic curve in the state is still on the rise; the higher prevalence among the youngest who are more likely to circulate; and the higher prevalence among the less educated as they have more difficulties in following the social distancing recommendations. Despite the study limitations, it is possible to infer that protective levels of natural herd immunity to SARS-CoV-2 are far from being reached in Rio de Janeiro.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-05-09info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/40410.1590/SciELOPreprints.404enghttps://preprints.scielo.org/index.php/scielo/article/view/404/497Copyright (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 Werneckhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAmorim Filho, LuizSzwarcwald, Célia LandmannMateos, Sheila de Oliveira GarciaLeon, Antonio Carlos Monteiro Ponce deMedronho, Roberto de AndradeVeloso, Valdiléa GonçalvesLopes, Josiane Iole FrançaPorto, Luis Cristovão de Moraes SobrinoChieppe, AlexandreWerneck, Guilherme Loureiroreponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-05-09T00:35:13Zoai:ops.preprints.scielo.org:preprint/404Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-05-09T00:35:13SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Seroprevalence of IgG and IgM anti-SARS-CoV-2 among voluntary blood donors in Rio de Janeiro, Brazil
title Seroprevalence of IgG and IgM anti-SARS-CoV-2 among voluntary blood donors in Rio de Janeiro, Brazil
spellingShingle Seroprevalence of IgG and IgM anti-SARS-CoV-2 among voluntary blood donors in Rio de Janeiro, Brazil
Amorim Filho, Luiz
COVID-19
Blood donors
Prevalence
Serology
SARS-CoV-2
title_short Seroprevalence of IgG and IgM anti-SARS-CoV-2 among voluntary blood donors in Rio de Janeiro, Brazil
title_full Seroprevalence of IgG and IgM anti-SARS-CoV-2 among voluntary blood donors in Rio de Janeiro, Brazil
title_fullStr Seroprevalence of IgG and IgM anti-SARS-CoV-2 among voluntary blood donors in Rio de Janeiro, Brazil
title_full_unstemmed Seroprevalence of IgG and IgM anti-SARS-CoV-2 among voluntary blood donors in Rio de Janeiro, Brazil
title_sort Seroprevalence of IgG and IgM anti-SARS-CoV-2 among voluntary blood donors in Rio de Janeiro, Brazil
author Amorim Filho, Luiz
author_facet Amorim Filho, Luiz
Szwarcwald, Célia Landmann
Mateos, Sheila de Oliveira Garcia
Leon, Antonio Carlos Monteiro Ponce de
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
Leon, Antonio Carlos Monteiro Ponce de
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
Leon, Antonio Carlos Monteiro Ponce de
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 COVID-19
Blood donors
Prevalence
Serology
SARS-CoV-2
topic COVID-19
Blood donors
Prevalence
Serology
SARS-CoV-2
description Background: In Brazil, mathematical models for deriving estimates and projections of COVID-19 cases have been developed without data on asymptomatic SARS-CoV-2 infection. We estimated the seroprevalence of antibodies to SARS-CoV-2 among blood donors in the State of Rio de Janeiro. Methods: Data were collected on 2,857 blood donors from April 14 to 27, 2020. We report the crude prevalence of antibodies to SARS-CoV-2, the weighted prevalence by the total state population, and adjusted prevalence estimates for test sensitivity and specificity. To establish the correlates of SARS-CoV-2 prevalence, we used logistic regression models. The analysis included period and site of blood collection, sociodemographic characteristics, and place of residence. Results: The proportion of SARS-Cov-2 positive tests 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%). Further adjustment by test sensitivity and specificity produced lower estimates, 3.6% (95% CI 2.7-4.4%) and 3.3% (95% CI 2.6-4.1%), respectively. The variable most significantly associated with the crude prevalence was the period of blood collection: the later the period, the higher the prevalence. Regarding socio-demographic characteristics, the younger the blood donors, the higher the prevalence, and the lower the educational level, the higher the odds of a positive SARS-Cov-2 antibody. Similar results were found for the weighted prevalence. Discussion: Although our findings resulted from a convenience sample, they match some basic premises: the increasing trend over time, since the epidemic curve in the state is still on the rise; the higher prevalence among the youngest who are more likely to circulate; and the higher prevalence among the less educated as they have more difficulties in following the social distancing recommendations. Despite the study limitations, it is possible to infer that protective levels of natural herd immunity to SARS-CoV-2 are far from being reached in Rio de Janeiro.
publishDate 2020
dc.date.none.fl_str_mv 2020-05-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
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10.1590/SciELOPreprints.404
url https://preprints.scielo.org/index.php/scielo/preprint/view/404
identifier_str_mv 10.1590/SciELOPreprints.404
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/404/497
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