Social networks of men who have sex with men: a study of recruitment chains using Respondent Driven Sampling in Salvador, Bahia State, Brazil

Brignol, Sandra; Dourado, Inês; Amorim, Leila Denise Alves Ferreira; Miranda, José García Vivas; Kerr, Lígia Regina Franco Sansigolo

doi:10.1590/0102-311x00085614

Cited by 7 publications

(9 citation statements)

References 26 publications

(66 reference statements)

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“…Some authors have argued that it is not yet established if RDS can provide unbiased estimates, 33 and that the size of the network may be imprecise thus leading to biased RDS estimates. 34 Also, although our estimates show high variability as evidenced by the wide confidence intervals, which is common using RDS-methodology and may also be due to the sample size, the detected associations were of high magnitude and statistically significant. Given its cross-sectional design, this study does not allow inference on causality.…”

Section: Discussionmentioning

confidence: 63%

Unveiling of HIV dynamics among transgender women: a respondent-driven sampling study in Rio de Janeiro, Brazil

et al. 2017

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Background The burden of HIV in transgender women (transwomen) in Brazil remains unknown. We aimed to estimate HIV prevalence among transwomen, and identify the factors associated with newly diagnosed HIV infections. Methods “Transcender” was a respondent driven sampling study of transwomen in Rio de Janeiro, Brazil, conducted from August 2015 to January 2016. Twelve seeds were recruited from social movements and formative phase. Eligibility criteria were: self-identification as transwomen, being 18 years of age or older, living in Rio de Janeiro or metropolitan area, and having a valid peer recruitment coupon. Participants were categorized as HIV-negative, known HIV infected, or newly diagnosed as HIV infected. Predictors of newly diagnosed HIV infections were assessed by comparing the newly diagnosed with the HIV-negative. Population estimates were adjusted using the RDSII estimator. Findings In total, 345 eligible transwomen were enrolled. The study sample was young and diverse on gender identity. Population estimates of no prior HIV testing, HIV-infection and newly diagnosed as HIV-infected were 29·1%, 32·1% and 7·0%, respectively (based on n=60 with no prior testing, n=141 HIV-infected, n=40 newly diagnosed). Syphilis, rectal chlamydia and gonorrhea infection were diagnosed in 28·9%, 14·6%, and 13·5%, respectively. Newly diagnosed HIV infections were associated with black race (22·8; 95%CI 2·9–178·9), travesti (34·1; 95%CI 5·8–200·2) or transsexual woman (41·3; 95%CI 6·3–271·2) gender identity, history of sex work (30·7; 95%CI 3·5–267·3), and history of sniffing cocaine (4·4; 95%CI 1·4–14·1). Interpretation Our results suggest that transwomen bear the largest burden of HIV among any population at risk in Brazil. The high proportion of HIV diagnosis among young participants points to the need for tailored long-term health care and prevention services in order to curb the HIV epidemic and improve the quality-of-life of transwomen in Brazil. Funding This work was supported by Brazilian Research Council (470056/2014-2) and NIAID-NIH (UM1AI069496).

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Section: Discussionmentioning

confidence: 63%

Unveiling of HIV dynamics among transgender women: a respondent-driven sampling study in Rio de Janeiro, Brazil

et al. 2017

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“…3 left panel, the largest connected component of the network is shown. This subnetwork is close to having a tree structure, with a clustering coefficient almost one order of magnitude smaller than the computed clustering coefficient of other sexual networks 25 . We conjecture that this low clustering coefficient could be the result of bias in the data collection, which leads to the presence of several star-like bunches of nodes in the network, that is, nodes with a high number of nearest-neighbors but with a very low number of secondary (next-nearest) neighbors.…”

Section: Sexual Contact Networkmentioning

confidence: 60%

Network-Centric Interventions to Contain the Syphilis Epidemic in San Francisco

Juher

Saldaña

Kohn

et al. 2017

Sci Rep

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The number of reported early syphilis cases in San Francisco has increased steadily since 2005. It is not yet clear what factors are responsible for such an increase. A recent analysis of the sexual contact network of men who have sex with men with syphilis in San Francisco has discovered a large connected component, members of which have a significantly higher chance of syphilis and HIV compared to non-member individuals. This study investigates whether it is possible to exploit the existence of the largest connected component to design new notification strategies that can potentially contribute to reducing the number of cases. We develop a model capable of incorporating multiple types of notification strategies and compare the corresponding incidence of syphilis. Through extensive simulations, we show that notifying the community of the infection state of few central nodes appears to be the most effective approach, balancing the cost of notification and the reduction of syphilis incidence. Additionally, among the different measures of centrality, the eigenvector centrality reveals to be the best to reduce the incidence in the long term as long as the number of missing links (non-disclosed contacts) is not very large.

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“…Results of other studies carried out in Poland and Brazil confirm behaviours related to risky sexual practices, attitudes and conducts among young people with minority sexual orientations (MSOs) (i.e. lesbian, gay, bisexual and transgender youth) in comparison to heterosexual young people (Brignol et al 2015, Tsirigostis et al 2015.…”

Section: Introductionmentioning

confidence: 73%

“…lesbian, gay, bisexual and transgender youth) in comparison to heterosexual young people (Brignol et al . , Tsirigostis et al . ).…”

Section: Introductionmentioning

confidence: 99%

Sexual orientation and its impact on sexual behaviour of young people aged 15‐29: a cross‐sectional study

Romero‐Estudillo

García‐García

Luna

et al. 2016

Journal of Advanced Nursing

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Social networks of men who have sex with men: a study of recruitment chains using Respondent Driven Sampling in Salvador, Bahia State, Brazil

Cited by 7 publications

References 26 publications

Unveiling of HIV dynamics among transgender women: a respondent-driven sampling study in Rio de Janeiro, Brazil

Unveiling of HIV dynamics among transgender women: a respondent-driven sampling study in Rio de Janeiro, Brazil

Network-Centric Interventions to Contain the Syphilis Epidemic in San Francisco

Sexual orientation and its impact on sexual behaviour of young people aged 15‐29: a cross‐sectional study

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