How Many Transgender Men Are There in San Francisco?

The purpose of this study was to estimate the number of transgender men (transmen) adults living in San Francisco. We integrated two population size estimation methods into a community-based health survey of transmen (n = 122) in the San Francisco Bay Area in 2014-2015: the service multiplier and wisdom of the crowds. The median estimate was 806 transmen adults in San Francisco (0.11% of adults) and 4027 in the Bay Area. Considering potential biases, we believe our estimates are conservative. Knowing the denominator of persons at risk for health conditions is necessary for public health planning, surveillance, and impact evaluation.

Prevalence of HIV and Associated Risk Factors Among Long Distance Truck Drivers in Inchope, Mozambique, 2012.

This is the first integrated biological and behavioral surveillance survey among long-distance truck drivers (LDTD) in Mozambique. Using modified time-location sampling in 2012 at a key transportation junction (Inchope), we enrolled 327 male LDTD. HIV prevalence was 15.4 % (95 % confidence interval : 11.4-19.4 %, n = 318 tested). Among HIV-positive LDTD, 83.7 % did not know their status. One-third of LDTD had never tested for HIV and three-quarters had not received free condoms, lubricants or HIV literature in the past 12 months. In that same period, 61.4 % of LDTD had at least four sexual partners and 27.1 % paid for sex. Among sexually-active LDTD, 76.5 % did not use a condom at last sex. HIV was associated (p < 0.05) with primary education or lower (AOR 2.1), residence in Mozambique (AOR 2.3) and never having tested for HIV (AOR 2.2). Our findings reveal that broader coverage of HIV prevention and comprehensive care services for LDTD are urgently needed.

Critique and lessons learned from using multiple methods to estimate population size of men who have sex with men in Ghana.

Population size estimation of key populations at risk of HIV is essential to every national response. We implemented population size estimation of men who have sex with men (MSM) in Ghana using a three-stage approach within the 2011 Ghana Men's Study: during the study's formative assessment, the larger integrated bio-behavioral surveillance (IBBS) survey; and during the stakeholder meeting. We used six methods in combination within the three-stage approach (literature review, mapping with census, unique object multiplier, service multiplier, wisdom of the crowd, and modified Delphi) to generate size estimates from 16 locations (4 IBBS survey sites and 12 other locations) and used the estimates from the 16 sites to extrapolate the total MSM population size of Ghana. We estimated the number of MSM in Ghana to be 30,579 with a plausible range of 21,645-34,470. The overall estimate suggests that the prevalence of MSM in Ghana is 0.48 % of the adult male population. Lessons learned are shared to inform and improve applications of the methods in future studies.

Men who have sex with men in Mozambique: identifying a hidden population at high-risk for HIV.

The population of men who have sex with men (MSM) has been largely ignored in HIV-related policies and programming in Mozambique and there is little information about the contribution of MSM to the HIV epidemic. An integrated biological and behavioral study among MSM using respondent-driven sampling was conducted in 2011 in Maputo, Beira and Nampula/Nacala. Men who reported engaging in oral or anal sex with other men in the last 12 months answered a questionnaire and provided a blood sample for HIV testing. The prevalence of HIV was 8.2 % (Maputo, n = 496), 9.1 % (Beira, n = 584) and 3.1 % (Nampula/Nacala, n = 353). Prevalence was higher among MSM ≥ 25 vs. 18-24 years: 33.8 % vs. 2.4 % (p < 0.001), 32.1 vs. 2.8 % (p < 0.001), and 10.3 vs. 2.7 % (p < 0.06), in each city respectively. The difference in prevalence demonstrates the need to increase prevention for younger MSM at risk for HIV and ensure care and treatment for older HIV-infected MSM.

Prevalence of HIV, sexually transmitted infections, and risk behaviours among female sex workers in Nairobi, Kenya: results of a respondent driven sampling study.

We conducted a respondent driven sampling survey to estimate HIV prevalence and risk behavior among female sex workers (FSWs) in Nairobi, Kenya. Women aged 18 years and older who reported selling sex to a man at least once in the past 3 months were eligible to participate. Consenting FSWs completed a behavioral questionnaire and were tested for HIV and sexually transmitted infections (STIs). Adjusted population-based prevalence and 95 % confidence intervals (CI) were estimated using RDS analysis tool. Factors significantly associated with HIV infection were assessed using log-binomial regression analysis. A total of 596 eligible participants were included in the analysis. Overall HIV prevalence was 29.5 % (95 % CI 24.7-34.9). Median age was 30 years (IQR 25-38 years); median duration of sex work was 12 years (IQR 8-17 years). The most frequent client-seeking venues were bars (76.6 %) and roadsides (29.3 %). The median number of clients per week was seven (IQR 4-18 clients). HIV testing was high with 86.6 % reported ever been tested for HIV and, of these, 63.1 % testing within the past 12 months. Of all women, 59.7 % perceived themselves at 'great risk' for HIV infection. Of HIV-positive women, 51.0 % were aware of their infection. In multivariable analysis, increasing age, inconsistent condom use with paying clients, and use of a male condom as a method of contraception were independently associated with unrecognized HIV infection. Prevalence among STIs was low, ranging from 0.9 % for syphilis, 1.1 % for gonorrhea, and 3.1 % for Chlamydia. The data suggest high prevalence of HIV among FSWs in Nairobi. Targeted and routine HIV and STI combination prevention strategies need to be scaled up or established to meet the needs of this population.

How can we improve online HIV and STD prevention for men who have sex with men? Perspectives of hook-up website owners, website users, and HIV/STD directors.

Internet-based interventions have potential to reduce HIV and STD transmission among men who meet male sexual partners online. From November 2009 to May 2010 we surveyed dating and hook-up website users (n = 3,050), website owners (n = 18), and health department HIV/STD directors (n = 81) to identify structural and behavioral prevention interventions that could be implemented online and which a majority of website users were willing to use, owners were willing to implement, and HIV/STD directors perceived to be effective. A majority of each of the three stakeholder groups agreed on the following: (1) automated HIV/STD testing reminders, (2) local STD test site directories, (3) links to sex-positive safe sex videos, (4) access to sexual health experts, (5) profile options to include safer sex preference, (6) chat rooms for specific sexual interests, (7) filtering partners by their profile information, and (8) anonymous e-card partner notification for STD exposure. Findings help build consensus about how to prioritize resources for implementing online HIV and STD prevention interventions and highlight differences between stakeholders to guide future discussion about how to advance prevention efforts.