HIV, HCV, HBV, and syphilis among transgender women from Brazil: Assessing different methods to adjust infection rates of a hard-to-reach, sparse population
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
DOI: | 10.1097/MD.0000000000009447 |
Texto Completo: | https://www.arca.fiocruz.br/handle/icict/58344 |
Resumo: | Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil. |
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Bastos, Francisco Inácio Pinkusfeld MonteiroBastos, Leonardo SoaresCoutinho, CarolinaToledo, LidianeMota, Jurema CorrêaVelasco-de-Castro, Carlos AugustoSperandei, SandroBrignol, SandraTravassos, Tamiris SeverinoSantos, Camila Mattos DosMalta, Monica Siqueira2023-05-12T13:15:15Z2023-05-12T13:15:15Z2018BASTOS, Francisco Inácio et al. HIV, HCV, HBV, and syphilis among transgender women from Brazil Assessing different methods to adjust infection rates of a hard-to-reach, sparse population. Medicine, v. 97, Suppl. 1, p. 16-24, 2018.0025-7974https://www.arca.fiocruz.br/handle/icict/5834410.1097/MD.0000000000009447engLippincott Williams & WilkinsHIV, HCV, HBV, and syphilis among transgender women from Brazil: Assessing different methods to adjust infection rates of a hard-to-reach, sparse populationinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Saúde da Mulher, da Criança e do Adolescente Fernandes Figueira. Departamento de Patologia Clínica. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil / Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil.Universidade Federal Fluminense. Instituto de Saúde Coletiva. Departamento de Epidemiologia e Bioestatística. Rio de Janeiro, Niterói, Brasil.Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil / Johns Hopkins Bloomberg School of Public Health. Department of Health. Behavior and Society. Baltimore MDDifferent sampling strategies, analytic alternatives, and estimators have been proposed to better assess the characteristics of different hard-to-reach populations and their respective infection rates (as well as their sociodemographic characteristics, associated harms, and needs) in the context of studies based on respondent-driven sampling (RDS). Despite several methodological advances and hundreds of empirical studies implemented worldwide, some inchoate findings and methodological challenges remain. The indepth assessment of the local structure of networks and the performance of the available estimators are particularly relevant when the target populations are sparse and highly stigmatized. In such populations, bottlenecks as well as other sources of biases (for instance, due to homophily and/or too sparse or fragmented groups of individuals) may be frequent, affecting the estimates. In the present study, data were derived from a cross-sectional, multicity RDS study, carried out in 12 Brazilian cities with transgender women (TGW). Overall, infection rates for HIV and syphilis were very high, with some variation between different cities. Notwithstanding, findings are of great concern, considering the fact that female TGW are not only very hard-to-reach but also face deeply-entrenched prejudice and have been out of the reach of most therapeutic and preventive programs and projects. We cross-compared findings adjusted using 2 estimators (the classic estimator usually known as estimator II, originally proposed by Volz and Heckathorn) and a brand new strategy to adjust data generated by RDS, partially based on Bayesian statistics, called for the sake of this paper, the RDS-B estimator. Adjusted prevalence was cross-compared with estimates generated by non-weighted analyses, using what has been called by us a naïve estimator or rough estimates.BrazilHIV/AIDSRespondent-driven samplingSexually transmitted infectionsStatistical methodsTransgender womeninfo: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/58344/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALva_Bastos_Francisco I_etal_ICICT_2018.pdfva_Bastos_Francisco I_etal_ICICT_2018.pdfapplication/pdf585951https://www.arca.fiocruz.br/bitstream/icict/58344/2/va_Bastos_Francisco%20I_etal_ICICT_2018.pdf8193d95c955787274fd65b04e6bb5102MD52icict/583442023-08-23 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dc.title.en_US.fl_str_mv |
HIV, HCV, HBV, and syphilis among transgender women from Brazil: Assessing different methods to adjust infection rates of a hard-to-reach, sparse population |
title |
HIV, HCV, HBV, and syphilis among transgender women from Brazil: Assessing different methods to adjust infection rates of a hard-to-reach, sparse population |
spellingShingle |
HIV, HCV, HBV, and syphilis among transgender women from Brazil: Assessing different methods to adjust infection rates of a hard-to-reach, sparse population Bastos, Francisco Inácio Pinkusfeld Monteiro Brazil HIV/AIDS Respondent-driven sampling Sexually transmitted infections Statistical methods Transgender women |
title_short |
HIV, HCV, HBV, and syphilis among transgender women from Brazil: Assessing different methods to adjust infection rates of a hard-to-reach, sparse population |
title_full |
HIV, HCV, HBV, and syphilis among transgender women from Brazil: Assessing different methods to adjust infection rates of a hard-to-reach, sparse population |
title_fullStr |
HIV, HCV, HBV, and syphilis among transgender women from Brazil: Assessing different methods to adjust infection rates of a hard-to-reach, sparse population |
title_full_unstemmed |
HIV, HCV, HBV, and syphilis among transgender women from Brazil: Assessing different methods to adjust infection rates of a hard-to-reach, sparse population |
title_sort |
HIV, HCV, HBV, and syphilis among transgender women from Brazil: Assessing different methods to adjust infection rates of a hard-to-reach, sparse population |
author |
Bastos, Francisco Inácio Pinkusfeld Monteiro |
author_facet |
Bastos, Francisco Inácio Pinkusfeld Monteiro Bastos, Leonardo Soares Coutinho, Carolina Toledo, Lidiane Mota, Jurema Corrêa Velasco-de-Castro, Carlos Augusto Sperandei, Sandro Brignol, Sandra Travassos, Tamiris Severino Santos, Camila Mattos Dos Malta, Monica Siqueira |
author_role |
author |
author2 |
Bastos, Leonardo Soares Coutinho, Carolina Toledo, Lidiane Mota, Jurema Corrêa Velasco-de-Castro, Carlos Augusto Sperandei, Sandro Brignol, Sandra Travassos, Tamiris Severino Santos, Camila Mattos Dos Malta, Monica Siqueira |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Bastos, Francisco Inácio Pinkusfeld Monteiro Bastos, Leonardo Soares Coutinho, Carolina Toledo, Lidiane Mota, Jurema Corrêa Velasco-de-Castro, Carlos Augusto Sperandei, Sandro Brignol, Sandra Travassos, Tamiris Severino Santos, Camila Mattos Dos Malta, Monica Siqueira |
dc.subject.en.en_US.fl_str_mv |
Brazil HIV/AIDS Respondent-driven sampling Sexually transmitted infections Statistical methods Transgender women |
topic |
Brazil HIV/AIDS Respondent-driven sampling Sexually transmitted infections Statistical methods Transgender women |
description |
Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil. |
publishDate |
2018 |
dc.date.issued.fl_str_mv |
2018 |
dc.date.accessioned.fl_str_mv |
2023-05-12T13:15:15Z |
dc.date.available.fl_str_mv |
2023-05-12T13:15:15Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
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publishedVersion |
dc.identifier.citation.fl_str_mv |
BASTOS, Francisco Inácio et al. HIV, HCV, HBV, and syphilis among transgender women from Brazil Assessing different methods to adjust infection rates of a hard-to-reach, sparse population. Medicine, v. 97, Suppl. 1, p. 16-24, 2018. |
dc.identifier.uri.fl_str_mv |
https://www.arca.fiocruz.br/handle/icict/58344 |
dc.identifier.issn.en_US.fl_str_mv |
0025-7974 |
dc.identifier.doi.none.fl_str_mv |
10.1097/MD.0000000000009447 |
identifier_str_mv |
BASTOS, Francisco Inácio et al. HIV, HCV, HBV, and syphilis among transgender women from Brazil Assessing different methods to adjust infection rates of a hard-to-reach, sparse population. Medicine, v. 97, Suppl. 1, p. 16-24, 2018. 0025-7974 10.1097/MD.0000000000009447 |
url |
https://www.arca.fiocruz.br/handle/icict/58344 |
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eng |
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eng |
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Lippincott Williams & Wilkins |
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Lippincott Williams & Wilkins |
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