IntroductionTransgender women are at high risk for the acquisition and transmission of HIV. However, there are limited empiric data characterizing HIV-related risks among transgender women in sub-Saharan Africa. The objective of these analyses is to determine what factors, including sexual behaviour stigma, condom use and engagement in sex work, contribute to risk for HIV infection among transgender women across three West African nations.MethodsData were collected via respondent-driven sampling from men who have sex with men (MSM) and transgender women during three- to five-month intervals from December 2012 to October 2015 across a total of six study sites in Togo, Burkina Faso and Côte d'Ivoire. During the study visit, participants completed a questionnaire and were tested for HIV. Chi-square tests were used to compare the prevalence of variables of interest between transgender women and MSM. A multilevel generalized structural equation model (GSEM) was used to account for clustering of observations within study sites in the multivariable analysis, as well as to estimate mediated associations between sexual behaviour stigma and HIV infection among transgender women.ResultsIn total, 2456 participants meeting eligibility criteria were recruited, of which 453 individuals identified as being female/transgender. Transgender women were more likely than MSM to report selling sex to a male partner within the past 12 months (p<0.01), to be living with HIV (p<0.01) and to report greater levels of sexual behaviour stigma as compared with MSM (p<0.05). In the GSEM, sexual behaviour stigma from broader social groups was positively associated with condomless anal sex (adjusted odds ratio (AOR)=1.33, 95% confidence interval (CI)=1.09, 1.62) and with selling sex (AOR=1.23, 95% CI=1.02, 1.50). Stigma from family/friends was also associated with selling sex (AOR=1.42, 95% CI=1.13, 1.79), although no significant associations were identified with prevalent HIV infection.ConclusionsThese data suggest that transgender women have distinct behaviours from those of MSM and that stigma perpetuated against transgender women is impacting HIV-related behaviours. Furthermore, given these differences, interventions developed for MSM will likely be less effective among transgender women. This situation necessitates dedicated responses for this population, which has been underserved in the context of both HIV surveillance and existing responses.
Background Violence is a human rights violation, and an important measure in understanding HIV among female sex workers (FSW). However, limited data exist regarding correlates of violence among FSW in Côte d’Ivoire. Characterizing prevalence and determinants of violence and the relationship with structural risks for HIV can inform development and implementation of comprehensive HIV prevention and treatment programs. Methods FSW > 18 years were recruited through respondent driven sampling (RDS) in Abidjan, Côte d’Ivoire. In total, 466 participants completed a socio-behavioral questionnaire and HIV testing. Prevalence estimates of violence were calculated using crude and RDS adjusted estimates. Relationships between structural risk factors and violence were analyzed using chi squared tests, and multivariable logistic regression. Results Police refusal of protection was associated with physical (adjusted Odds Ratio [aOR]:2.8; 95%CI: 1.7,4.4) and sexual violence (aOR: 3.0; 95%CI: 1.9,4.8). Blackmail was associated with physical (aOR: 2.5; 95%CI: 1.5,4.2) and sexual violence (aOR: 2.4; 95%CI: 1.5,4.0). Physical violence was associated with fear (aOR: 2.2; 95%CI: 1.3,3.1) and avoidance of seeking health services (aOR:2.3; 95%CI:1.5, 3.8). Conclusions Violence is prevalent among FSW in Abidjan and associated with features of the work environment. These relationships highlight layers of rights violations affecting FSW, underscoring the need for structural interventions and policy reforms to improve work environments; and to address police harassment, stigma, and rights violations to reduce violence and improve access to HIV interventions.
Low contraceptive use and high burden of unintended pregnancy result in poor reproductive outcomes for FSW and avoidable mother-to-child HIV transmission risks. Integration of family planning and antenatal services into HIV prevention and care programs accessed by FSW could enhance reproductive outcomes and HIV prevention goals.
Background The prevalence of Ebola virus infection among people who have been in contact with patients with Ebola virus disease remains unclear, but is essential to understand the dynamics of transmission. This study aimed to identify risk factors for seropositivity and to estimate the prevalence of Ebola virus infection in unvaccinated contact persons. Methods In this retrospective, cross-sectional observational study, we recruited individuals between May 12, 2016, and Sept 8, 2017, who had been in physical contact with a patient with Ebola virus disease, from four medical centres in Guinea (Conakry, Macenta, N'zérékoré, and Forécariah). Contact persons had to be 7 years or older and not diagnosed with Ebola virus disease. Participants were selected through the Postebogui survivors' cohort. We collected selfreported information on exposure and occurrence of symptoms after exposure using a questionnaire, and tested antibody response against glycoprotein, nucleoprotein, and 40-kDa viral protein of Zaire Ebola virus by taking a blood sample. The prevalence of Ebola virus infection was estimated with a latent class model. Findings 1721 contact persons were interviewed and given blood tests, 331 of whom reported a history of vaccination so were excluded, resulting in a study population of 1390. Symptoms were reported by 216 (16%) contact persons. The median age of participants was 26 years (range 7-88) and 682 (49%) were male. Seropositivity was identified in 18 (8•33%, 95% CI 5•01-12•80) of 216 paucisymptomatic contact persons and 39 (3•32%, 5•01-12•80) of 1174 (2-4) asymptomatic individuals (p=0•0021). Seropositivity increased with participation in burial rituals (adjusted odds ratio [aOR] 2•30, 95% CI 1•21-4•17; p=0•0079) and exposure to blood or vomit (aOR 2•15, 1•23-3•91; p=0•0090). Frequency of Ebola virus infection varied from 3•06% (95% CI 1•84-5•05) in asymptomatic contact persons who did not participate in burial rituals to 5•98% (2•81-8•18) in those who did, and from 7•17% (3•94-9•09) in paucisymptomatic contact persons who did not participate in burial rituals to 17•16% (12•42-22•31) among those who did. Interpretation This study provides a new assessment of the prevalence of Ebola virus infection among contact persons according to exposure, provides evidence for the occurrence of paucisymptomatic cases, and reinforces the importance of closely monitoring at-risk contact persons.
Purpose-HIV prevalence has been previously estimated among cisgender men who have sex with men (MSM) in Côte d'Ivoire; however, limited data exist relating to the role of social cohesion and gender identity within this population. This study aims to examine these factors as risk determinants of HIV among MSM in Côte d'Ivoire.Methods-We conducted a cross-sectional study using respondent-driven sampling for recruitment with a structured sociobehavioral instrument and testing for HIV. After respondentdriven sampling adjustment, chi-squared tests and bivariate logistic regression and multivariate logistic regression analyses were performed to characterize social and identity-based risk determinants of biologically confirmed prevalent HIV infection.Results-HIV prevalence was 11.2% (n = 146/1301). Transgender woman identity was associated with higher odds of HIV compared with cisgender MSM (aOR = 3.4, 95% CI [2.0-5.8], P < .001). Having a combined social cohesion score of medium (aOR = 0.4, 95% CI [0.2-0.8], P < .01) or high (aOR = 0.2, 95% CI [0.1-0.3], P < .001) was associated with lower odds of HIV compared with a low score.Conclusion-These data suggest that social cohesion is a determinant of prevalent HIV infection in Côte d'Ivoire among gay men, other cisgender MSM, and transgender women. The differences
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