Assessment of risk factors for HIV infection among men who have sex with men in the metropolitan area of Campinas City, Brazil, using respondent-driven sampling

Mello, Maeve de; Pinho, Adriana de Araújo; Chinaglia, Magda; Tun, Waimar; Barbosa, Aristides; Cristina, Maria Luisa; Ilario, F.J.; Junior, Paulo Martins Reis; Salles, Regina C.S.; Westman, S; Dı́az, Juan

doi:10.31899/hiv2.1004

Cited by 19 publications

(26 citation statements)

References 64 publications

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“…that participants recruit their contacts uniformly at random and that all contacts approached agree to participate). For example, de Mello et al found evidence of non-random recruitment in their study of men who have sex with men in Campinas, Brazil [53], and similar results have been reported elsewhere in the literature [24,26,54]. We hope that future work develops diagnostics to detect violations of these assumptions and explores the effects of such violations on RDS estimates.…”

Section: Implications and Directions For Further Researchsupporting

confidence: 71%

Respondent‐driven sampling as Markov chain Monte Carlo

Goel

Salganik

2009

Statistics in Medicine

162

169

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Respondent-driven sampling (RDS) is a recently introduced, and now widely used, technique for estimating disease prevalence in hidden populations. RDS data are collected through a snowball mechanism, in which current sample members recruit future sample members. In this paper we present respondent-driven sampling as Markov chain Monte Carlo (MCMC) importance sampling, and we examine the effects of community structure and the recruitment procedure on the variance of RDS estimates. Past work has assumed that the variance of RDS estimates is primarily affected by segregation between healthy and infected individuals. We examine an illustrative model to show that this is not necessarily the case, and that bottlenecks anywhere in the networks can substantially affect estimates. We also show that variance is inflated by a common design feature in which sample members are encouraged to recruit multiple future sample members. The paper concludes with suggestions for implementing and evaluating respondent-driven sampling studies.

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Section: Implications and Directions For Further Researchsupporting

confidence: 71%

Respondent‐driven sampling as Markov chain Monte Carlo

Goel

Salganik

2009

Statistics in Medicine

162

169

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“…Overall, MSM are 20–30 times more likely to be living with HIV compared to the general population in Brazil, whose prevalence is stable around 0.4–0.6% 4,5 . Of special concern is the high prevalence found among very young MSM (aged 14–19 years), which reached 4% (95%CI: 1–9%) in one recent study 6 , while young Brazilian MSM increasingly make up a larger proportion of new cases 2 . The epidemic in the MSM population is far from being curbed.…”

Section: Introductionmentioning

confidence: 99%

Acceptability of self-conducted home-based HIV testing among men who have sex with men in Brazil: data from an on-line survey

Lippman¹,

Périssé

Veloso

et al. 2014

Cad. Saúde Pública

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The Brazilian HIV/AIDS epidemic is concentrated among men who have sex with men (MSM), however HIV testing rates among MSM are not commensurate with their risk. Strategies to expand early diagnosis may include use of self-conducted home-based testing kits, which are now available for purchase in the US. In April 2011 we conducted a survey with Brazilian MSM using Facebook to assess HIV testing preferences and acceptability of home-based testing. Among 356 previously tested, HIV-negative MSM, 47% reported a preference for home-based testing, 27% preferred clinic-based testing, and 26% had no preference. Less frequent testers and those who had considered testing but failed to test were more likely to prefer home-based testing. Close to 90% reported that they would use self-test kits; 62% and 54% said they would use home-based testing to make choices about unprotected sex with regular and new partners, respectively. Concerns included difficulty to understand the tests (32%) and receiving results alone (23%). Overall, home-based testing may appeal to MSM and result in increased testing frequency. Research on feasibility and utilization of self-tests in practice is needed.

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“…Even if subjects truly recruit only their yet-unrecruited neighbors in an idealized social network, they may misreport their degrees in the network (McCarty et al, 2001;Salganik, 2006;Bell et al, 2007). Researchers may be able to improve the reliability of degree reports by administering a follow-up questionnaire to subjects about their recruitment behavior (de Mello et al, 2008;Yamanis et al, 2013;Gile et al, 2015), or by statistical estimation of degree from enhanced survey instruments (Zheng et al, 2006;McCormick et al, 2010;Salganik et al, 2011). Researchers can assess the sensitivity of the proposed bounds to misreported degree by perturbing reported degrees according to a probability model.…”

Section: Discussionmentioning

confidence: 99%

Identification of Homophily and Preferential Recruitment in Respondent-Driven Sampling

Crawford

Aronow

Zeng

et al. 2017

American Journal of Epidemiology

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Respondent-driven sampling (RDS) is a link-tracing procedure used in epidemiologic research on hidden or hard-to-reach populations in which subjects recruit others via their social networks. Estimates from RDS studies may have poor statistical properties due to statistical dependence in sampled subjects' traits. Two distinct mechanisms account for dependence in an RDS study: homophily, the tendency for individuals to share social ties with others exhibiting similar characteristics, and preferential recruitment, in which recruiters do not recruit uniformly at random from their network alters. The different effects of network homophily and preferential recruitment in RDS studies have been a source of confusion and controversy in methodological and empirical research in epidemiology. In this work, we gave formal definitions of homophily and preferential recruitment and showed that neither is identified in typical RDS studies. We derived nonparametric identification regions for homophily and preferential recruitment and showed that these parameters were not identified unless the network took a degenerate form. The results indicated that claims of homophily or recruitment bias measured from empirical RDS studies may not be credible. We applied our identification results to a study involving both a network census and RDS on a population of injection drug users in Hartford, Connecticut (2012-2013).

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Assessment of risk factors for HIV infection among men who have sex with men in the metropolitan area of Campinas City, Brazil, using respondent-driven sampling

Abstract: We are indebted to Keith Sabin (CDC/GAP) who was always prompt in providing technical support for implementing respondent-driven sampling. Other technical assistance was also kindly provided by Julie Pulerwitz,

Cited by 19 publications

References 64 publications

Respondent‐driven sampling as Markov chain Monte Carlo

Respondent‐driven sampling as Markov chain Monte Carlo

Acceptability of self-conducted home-based HIV testing among men who have sex with men in Brazil: data from an on-line survey

Identification of Homophily and Preferential Recruitment in Respondent-Driven Sampling

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