Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, Brazil
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista de Saúde Pública |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102020000100251 |
Resumo: | ABSTRACT 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. |
id |
USP-23_a74a8bba3e4e1770b16439beedf8c11e |
---|---|
oai_identifier_str |
oai:scielo:S0034-89102020000100251 |
network_acronym_str |
USP-23 |
network_name_str |
Revista de Saúde Pública |
repository_id_str |
|
spelling |
Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, BrazilCoronavirus Infections, immunologyBlood DonorsSerologic TestsSeroepidemiologic StudiesABSTRACT 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.Faculdade de Saúde Pública da Universidade de São Paulo2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102020000100251Revista de Saúde Pública v.54 2020reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.11606/s1518-8787.2020054002643info: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 Loureiroeng2020-07-02T00:00:00Zoai:scielo:S0034-89102020000100251Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2020-07-02T00:00Revista 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 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 |
Coronavirus Infections, immunology Blood Donors Serologic Tests Seroepidemiologic Studies |
topic |
Coronavirus Infections, immunology Blood Donors Serologic Tests Seroepidemiologic Studies |
description |
ABSTRACT 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 |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102020000100251 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102020000100251 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.11606/s1518-8787.2020054002643 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Faculdade de Saúde Pública da Universidade de São Paulo |
publisher.none.fl_str_mv |
Faculdade de Saúde Pública da Universidade de São Paulo |
dc.source.none.fl_str_mv |
Revista de Saúde Pública v.54 2020 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 |
_version_ |
1748936505720569856 |