| Author | Bastos, Francisco I. | |
| Author | Bastos, Leonardo Soares | |
| Author | Coutinho, Carolina | |
| Author | Toledo, Lidiane | |
| Author | Mota, Jurema Corrêa | |
| Author | Velasco-de-Castro, Carlos Augusto | |
| Author | Sperandei, Sandro | |
| Author | Brignol, Sandra | |
| Author | Travassos, Tamiris Severino | |
| Author | Santos, Camila Mattos dos | |
| Author | Malta, Monica Siqueira | |
| Access date | 2023-05-12T13:15:15Z | |
| Available date | 2023-05-12T13:15:15Z | |
| Document date | 2018 | |
| Citation | BASTOS, Francisco I. 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, May 2018. | en_US |
| ISSN | 0025-7974 | |
| URI | https://www.arca.fiocruz.br/handle/icict/58344 | |
| Description | On behalf of the “Divas Research Group". | |
| Sponsorship | Funding financial support for this study was provided by Brazilian Ministry of Health, through its Secretariat for Health Surveillance and its Department of Prevention, Surveillance and Control of Sexually Transmitted Infections, HIV/AIDS and Viral Hepatitis. | |
| Language | eng | en_US |
| Publisher | Lippincott Williams & Wilkins | en_US |
| Rights | open access | |
| 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 | en_US |
| Type | Article | |
| DOI | 10.1097/MD.0000000000009447 | |
| Abstract | Different 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. Abbreviations: MARPs = most-at-risk populations, RDS = respondent-driven sampling, STI = sexually transmitted infection, TGW = transgender women. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil. | en_US |
| Affilliation | 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. | en_US |
| Affilliation | 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. | en_US |
| Affilliation | Universidade Federal Fluminense. Instituto de Saúde Coletiva. Departamento de Epidemiologia e Bioestatística. Niterói, RJ, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil. | en_US |
| Affilliation | 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, MD, USA. | en_US |
| Subject | Brazil | en_US |
| Subject | HIV/AIDS | en_US |
| Subject | Respondent-driven sampling | en_US |
| Subject | Sexually transmitted infections | en_US |
| Subject | Statistical methods | en_US |
| Subject | Transgender women | en_US |
| e-ISSN | 1536-5964 | |
| xmlui.metadata.dc.subject.ods | 05 Igualdade de gênero | |
