HIV, HCV, HBV, and syphilis among transgender women from Brazil: Assessing different methods to adjust infection rates of a hard-to-reach, sparse population.

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 in-depth 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.

Tracing the origin of a singular HIV-1 CRF45_cpx clade identified in Brazil.

The HIV-1 epidemiology has changed over the past decade toward a marked increase in the circulation of strains previously restricted to local epidemics. Recent molecular epidemiological surveys identified some HIV-1 strains of probable African origin circulating in Brazil, including the Circulating Recombinant Form (CRF) 45_cpx, a complex A1/K/U recombinant that circulates in Central Africa. Here, we characterize partial genomic sequences and reconstruct the evolutionary history of HIV-1 CRF45_cpx-related recombinant samples identified in independent studies carried out with HIV+ individuals in Brazil. The sequences were obtained by overlapping PCR amplifications followed by direct sequencing. Recombination profiles were determined by phylogenetic and bootscaning analyses. The evolutionary history was estimated by a Bayesian coalescent-based method using datasets representing the gag, pol and env gene fragments. Six of the 10 samples isolated in Rio de Janeiro showed a CRF45_cpx-like pattern throughout the sequenced genome. The remaining were classified as second-generation recombinants, showing the mosaic patterns: CRF45_cpx/B/D/F1/U, CRF45_cpx/B/F1/U, CRF45_cpx/B/U and CRF45_cpx/F1. All Brazilian CRF45_cpx sequences, except one, formed a monophyletic clade (CRF45-BR), which seems to be the result of a single introduction event that has spread to the Rio de Janeiro, São Paulo and Minas Gerais states and is related to sequences from Argentina, Italy and Belgium. The Bayesian analyses pointed out quite consistent onset dates for CRF45-BR clade (~1984: 1976-1996) in the three gene datasets. These results indicate that the CRF45-BR clade has been circulating in the Southeastern Brazilian region for about 30years, although its presence was not detected until recently due to its very low prevalence. This reinforces the relevance of large-scale molecular surveillance data to identify the emergence of new HIV variants and their impact on local epidemics.