Journal: | Revista de saude publica |
Database: | |
System number: | 000535953 |
ISSN: | 0034-8910 |
Authors: | Amorim Filho, Luiz1 Szwarcwald, Célia Landmann2 Mateos, Sheila de Oliveira Garcia1 Leon, Antonio Carlos Monteiro Ponce de4 Medronho, Roberto de Andrade5 Veloso, Valdiléa Gonçalves6 Lopes, Josiane Iole França3 Porto, Luis Cristovão de Moraes Sobrino7 Chieppe, Alexandre8 Werneck, Guilherme Loureiro9 |
Institutions: | 1Hemorio, Rio de Janeiro, RJ. Brasil 2Fundação Oswaldo Cruz, Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Rio de Janeiro. Brasil 3Universidade de São Paulo, Faculdade de Medicina da Universidade de São Paulo, São Paulo, São Paulo. Brasil 4Universidade do Estado do Rio de Janeiro, Instituto de Medicina Social, Rio de Janeiro, Rio de Janeiro. Brasil 5Universidade do Federal do Rio de Janeiro, Faculdade de Medicina, Rio de Janeiro, RJ. Brasil 6Fundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro. Brasil 7Universidade do Estado do Rio de Janeiro, Laboratório de Histocompatibilidade e Criopreservação Policlínica Piquet Carneiro, Rio de Janeiro, Rio de Janeiro. Brasil 8Secretaria de Estado do Rio de Janeiro, Rio de Janeiro, RJ. Brasil 9Universidade do Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva, Rio de Janeiro. Brasil |
Year: | 2020 |
Volumen: | 54 |
Country: | Brasil |
Language: | Inglés |
English 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. |
Keyword: | Coronavirus Infections, immunology, Blood Donors, Serologic Tests, Seroepidemiologic Studies |
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