Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2022 |
| Outros Autores: | , , , , , , , , , , , , , , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
| Texto Completo: | https://www.arca.fiocruz.br/handle/icict/55846 |
Resumo: | Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil. |
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Coelho, Lara E.Luz, Paula M.Pires, Débora C.Jalil, Emilia M.Perazzo, HugoTorres, Thiago S.Cardoso, Sandra W.Peixoto, Eduardo M.Nazer, SandroMassad, EduardoSilveira, Mariângela F.Barros, Fernando C.Vasconcelos, Ana T. R.Costa, Carlos A. M.Amancio, Rodrigo T.Villela, Daniel A. M.Pereira, TiagoGoedert, Guilherme T.Santos, Cleber V. B. D.Rodrigues, Nadia C. P.Grinsztejn, BeatrizVeloso, Valdiléa G.Struchiner, Claudio J.2022-12-01T14:25:03Z2022-12-01T14:25:03Z2022COELHO, Lara E. et al. Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey. Lancet Regional Health. Americas, v. 15, p. 1-19, 2022.2667-193Xhttps://www.arca.fiocruz.br/handle/icict/5584610.1016/j.lana.2022.100338engElsevierPrevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurveyinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil.Fundação Getúlio Vargas. Escola de Matemática Aplicada. Rio de Janeiro, RJ, Brasil.Universidade Federal de Pelotas. Programa de Pós-Graduação em Epidemiologia. Pelotas, RS, Brasil.Universidade Católica de Pelotas. Pelotas, RS, Brasil.Laboratório Nacional de Computação Científica. Petrópolis, RJ, Brasil.Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. Rio de Janeiro, RJ, Brasil.Hospital Federal dos Servidores do Estado. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil.Universidade de São Paulo. Instituto de Ciências Matemáticas e Computação. São Paulo, SP, Brasil.Università degli Studi di Roma Tor Vergata and INFN. Rome, Italy / RWTH Aachen University. Aachen, Germany / The Cyprus Institute. Nicosia, Cyprus.Universidade do Estado do Rio de Janeiro. Instituto de Medicina Social Hesio Cordeiro. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. Rio de Janeiro, RJ, Brasil / Universidade do Estado do Rio de Janeiro. Instituto de Medicina Social Hesio Cordeiro. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil.Fundação Getúlio Vargas. Escola de Matemática Aplicada. Rio de Janeiro, RJ, Brasil / Universidade do Estado do Rio de Janeiro. Instituto de Medicina Social Hesio Cordeiro. Rio de Janeiro, RJ, Brasil.Background: COVID-19 serosurveys allow for the monitoring of the level of SARS-CoV-2 transmission and support data-driven decisions. We estimated the seroprevalence of anti-SARS-CoV-2 antibodies in a large favela complex in Rio de Janeiro, Brazil. Methods: A population-based panel study was conducted in Complexo de Manguinhos (16 favelas) with a probabilistic sampling of participants aged ≥1 year who were randomly selected from a census of individuals registered in primary health care clinics that serve the area. Participants answered a structured interview and provided blood samples for serology. Multilevel regression models (with random intercepts to account for participants' favela of residence) were used to assess factors associated with having anti-S IgG antibodies. Secondary analyses estimated seroprevalence using an additional anti-N IgG assay. Findings: 4,033 participants were included (from Sep/2020 to Feb/2021, 22 epidemic weeks), the median age was 39·8 years (IQR:21·8-57·7), 61% were female, 41% were mixed-race (Pardo) and 23% Black. Overall prevalence was 49·0% (95%CI:46·8%-51·2%) which varied across favelas (from 68·3% to 31·4%). Lower prevalence estimates were found when using the anti-N IgG assay. Odds of having anti-S IgG antibodies were highest for young adults, and those reporting larger household size, poor adherence to social distancing and use of public transportation. Interpretation: We found a significantly higher prevalence of anti-S IgG antibodies than initially anticipated. Disparities in estimates obtained using different serological assays highlight the need for cautious interpretation of serosurveys estimates given the heterogeneity of exposure in communities, loss of immunological biomarkers, serological antigen target, and variant-specific test affinity.AntibodiesBrazilCOVID-19SerosurveysSocial inequityinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/55846/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALPrevalence_Lara_Coelho_etal_INI_2022_COVID-19.pdfPrevalence_Lara_Coelho_etal_INI_2022_COVID-19.pdfapplication/pdf3319105https://www.arca.fiocruz.br/bitstream/icict/55846/2/Prevalence_Lara_Coelho_etal_INI_2022_COVID-19.pdfb8d46c1c69247185417e234914a5f38dMD52icict/558462023-11-13 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| dc.title.en_US.fl_str_mv |
Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey |
| title |
Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey |
| spellingShingle |
Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey Coelho, Lara E. Antibodies Brazil COVID-19 Serosurveys Social inequity |
| title_short |
Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey |
| title_full |
Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey |
| title_fullStr |
Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey |
| title_full_unstemmed |
Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey |
| title_sort |
Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey |
| author |
Coelho, Lara E. |
| author_facet |
Coelho, Lara E. Luz, Paula M. Pires, Débora C. Jalil, Emilia M. Perazzo, Hugo Torres, Thiago S. Cardoso, Sandra W. Peixoto, Eduardo M. Nazer, Sandro Massad, Eduardo Silveira, Mariângela F. Barros, Fernando C. Vasconcelos, Ana T. R. Costa, Carlos A. M. Amancio, Rodrigo T. Villela, Daniel A. M. Pereira, Tiago Goedert, Guilherme T. Santos, Cleber V. B. D. Rodrigues, Nadia C. P. Grinsztejn, Beatriz Veloso, Valdiléa G. Struchiner, Claudio J. |
| author_role |
author |
| author2 |
Luz, Paula M. Pires, Débora C. Jalil, Emilia M. Perazzo, Hugo Torres, Thiago S. Cardoso, Sandra W. Peixoto, Eduardo M. Nazer, Sandro Massad, Eduardo Silveira, Mariângela F. Barros, Fernando C. Vasconcelos, Ana T. R. Costa, Carlos A. M. Amancio, Rodrigo T. Villela, Daniel A. M. Pereira, Tiago Goedert, Guilherme T. Santos, Cleber V. B. D. Rodrigues, Nadia C. P. Grinsztejn, Beatriz Veloso, Valdiléa G. Struchiner, Claudio J. |
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author author author author author author author author author author author author author author author author author author author author author author |
| dc.contributor.author.fl_str_mv |
Coelho, Lara E. Luz, Paula M. Pires, Débora C. Jalil, Emilia M. Perazzo, Hugo Torres, Thiago S. Cardoso, Sandra W. Peixoto, Eduardo M. Nazer, Sandro Massad, Eduardo Silveira, Mariângela F. Barros, Fernando C. Vasconcelos, Ana T. R. Costa, Carlos A. M. Amancio, Rodrigo T. Villela, Daniel A. M. Pereira, Tiago Goedert, Guilherme T. Santos, Cleber V. B. D. Rodrigues, Nadia C. P. Grinsztejn, Beatriz Veloso, Valdiléa G. Struchiner, Claudio J. |
| dc.subject.en.en_US.fl_str_mv |
Antibodies Brazil COVID-19 Serosurveys Social inequity |
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Antibodies Brazil COVID-19 Serosurveys Social inequity |
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Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil. |
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2022 |
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2022-12-01T14:25:03Z |
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2022-12-01T14:25:03Z |
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2022 |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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COELHO, Lara E. et al. Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey. Lancet Regional Health. Americas, v. 15, p. 1-19, 2022. |
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https://www.arca.fiocruz.br/handle/icict/55846 |
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2667-193X |
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10.1016/j.lana.2022.100338 |
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COELHO, Lara E. et al. Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey. Lancet Regional Health. Americas, v. 15, p. 1-19, 2022. 2667-193X 10.1016/j.lana.2022.100338 |
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Elsevier |
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Elsevier |
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