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SEROPREVALENCE OF ANTI-SARS-COV-2 AMONG BLOOD DONORS IN RIO DE JANEIRO, BRAZIL
immunology
Blood Donors
Serologic Tests
Seroepidemiologic Studies
COVID-19
SARS-CoV-2
Authors’ Contribution: LAF: survey conceptualization and execution, coordination of data collection, interpretation of serological results, and conception, draft, review and revision of the article’s intellectual content. CLS: survey conceptualization, statistical analyses, and conception, draft, review and revision of the article’s intellectual content. SOGM: supervision of data collection, interpretation of serological results, and revision of the article’s intellectual content. ACMPL: survey conceptualization, review and revision of the article’s intellectual content. RAM: survey conceptualization, review and revision of the article’s intellectual content. VGV: survey conceptualization, review and revision of the article’s intellectual content. JIFL: supervision of PCR exeution, interpretation of PCR results, and revision of the article’s intellectual content. LCMSP: survey conceptualization, review and revision of the article’s intellectual content. AC: survey conceptualization and execution, review and revision of the article’s intellectual content. GLW: survey conceptualization, conception, draft, review, revision of the article’s intellectual content, and final version (review & editing). All authors read and approved the final version of the manuscript.
Author
Affilliation
Hemorio. Rio de Janeiro, RJ, Brasil.
Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.
Hemorio. Rio de Janeiro, RJ, Brasil / Universidade de São Paulo. Faculdade de Medicina da Universidade de São Paulo. São Paulo, SP, Brasil.
Universidade do Estado do Rio de Janeiro. Instituto de Medicina Social. Rio de Janeiro, RJ, Brasil.
Universidade do Federal do Rio de Janeiro. Faculdade de Medicina. Rio de Janeiro, RJ, Brasil.
Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil.
Universidade de São Paulo. Faculdade de Medicina da Universidade de São Paulo. São Paulo, SP, Brasil.
Universidade do Estado do Rio de Janeiro. Laboratório de Histocompatibilidade e Criopreservação, Policlínica Piquet Carneiro. Rio de Janeiro, RJ, Brasil.
Secretaria de Estado do Rio de Janeiro. Rio de Janeiro, RJ, Brasil.
Universidade do Federal do Rio de Janeiro. Instituto de Estudos em Saúde Coletiva. Rio de Janeiro, Brasil.
Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.
Hemorio. Rio de Janeiro, RJ, Brasil / Universidade de São Paulo. Faculdade de Medicina da Universidade de São Paulo. São Paulo, SP, Brasil.
Universidade do Estado do Rio de Janeiro. Instituto de Medicina Social. Rio de Janeiro, RJ, Brasil.
Universidade do Federal do Rio de Janeiro. Faculdade de Medicina. Rio de Janeiro, RJ, Brasil.
Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil.
Universidade de São Paulo. Faculdade de Medicina da Universidade de São Paulo. São Paulo, SP, Brasil.
Universidade do Estado do Rio de Janeiro. Laboratório de Histocompatibilidade e Criopreservação, Policlínica Piquet Carneiro. Rio de Janeiro, RJ, Brasil.
Secretaria de Estado do Rio de Janeiro. Rio de Janeiro, RJ, Brasil.
Universidade do Federal do Rio de Janeiro. Instituto de Estudos em Saúde Coletiva. Rio de Janeiro, Brasil.
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.
Keywords
Coronavirus Infectionsimmunology
Blood Donors
Serologic Tests
Seroepidemiologic Studies
COVID-19
SARS-CoV-2
Publisher
Faculdade de Saúde Pública da Universidade de São Paulo
Citation
AMORIM FILHO, Luiz et al. Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, Brazil. Revista de Saúde Pública, São Paulo, v. 54, 69, p. 1-10, 2020.DOI
10.11606/s1518-8787.2020054002643ISSN
1518-8787Notes
Grupo Hemorio de Pesquisa em Covid-19: Maria Esther Duarte Lopes, Margarida Pêcego, Orlando Carlos da Conceição Neto, Carlos Alexandre da Costa Silva, Joana Almeida Borges, Gabrielle Tantos Nunes, Larissa Brasil Skaf, Luiz Paulo Teixeira dos Santos, Andrea Rabello, Carla Boquimpani, Rodrigo Guimarães.Authors’ Contribution: LAF: survey conceptualization and execution, coordination of data collection, interpretation of serological results, and conception, draft, review and revision of the article’s intellectual content. CLS: survey conceptualization, statistical analyses, and conception, draft, review and revision of the article’s intellectual content. SOGM: supervision of data collection, interpretation of serological results, and revision of the article’s intellectual content. ACMPL: survey conceptualization, review and revision of the article’s intellectual content. RAM: survey conceptualization, review and revision of the article’s intellectual content. VGV: survey conceptualization, review and revision of the article’s intellectual content. JIFL: supervision of PCR exeution, interpretation of PCR results, and revision of the article’s intellectual content. LCMSP: survey conceptualization, review and revision of the article’s intellectual content. AC: survey conceptualization and execution, review and revision of the article’s intellectual content. GLW: survey conceptualization, conception, draft, review, revision of the article’s intellectual content, and final version (review & editing). All authors read and approved the final version of the manuscript.
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