The HIV epidemic in Thailand is concentrated in key populations, with the highest rates in men who have sex with men (MSM) and transgender women (TG). Previous studies of HIV incidence in these groups have been limited mostly to Bangkok. We measured HIV incidence in MSM and TG in four provinces and evaluated factors associated with incident infections to inform public health prevention efforts. An analysis was conducted using data collected during a prospective observational cohort study during April 2015-May 2018 in outpatient clinics in five hospitals across four provinces in Thailand. MSM and TG aged ≥18 years, who were not known to be HIV-infected, and who reported anal intercourse with a male or TG without a condom in the past six months were enrolled. Participants were followed-up every 6 months for 18 months with questionnaires and HIV testing. A total of 40 HIV seroconversions occurred during follow-up, resulting in an HIV incidence of 3.5 per 100 person-years (95% CI 2.5, 4.8). Multivariate analyses indicated that identifying as gay (adjusted hazard ratio [AHR] 4.9; 95% CI 1.7-14.2), having receptive anal sex in the past six months (AHR 3.6; 95% CI 1.4-9.5), using alcohol (AHR 3.3; 95% CI 1.3-8.3), and taking alkyl nitrites (AHR 4.4; 95% CI 1.7-11.2) in the past six months were all independently associated with HIV infection. Overall this study found a lower HIV incidence in the highest risk population in Thailand compared with similar studies in Bangkok. Accelerated prevention efforts are needed to make the goal of 'zero new infections' possible in Thailand.

Spatiotemporal analyses can support Human Immuno-deficiency Virus (HIV) prevention programmes by identifying locations of at-risk populations in space and time, and their proximity to HIV testing and prevention services. We assessed residential proximity to HIV testing venues for Men who have Sex with Men (MSM) and Transgender Women (TGW) attending Voluntary Counselling and Testing (VCT) at a large urban MSM clinic in Bangkok, Thailand in the period 2005-2015. We mapped clientprovided spatial data and HIV testing venues, calculating distance from residence to venues for VCT clients between i) September 2005-December 2009; ii) January 2010-September 2013; and iii) October 2013-May 2015. We assessed spatial characteristics across times, evaluating autocorrelation of HIV prevalence and visit density using Moran's I. Among 8,758 first-time VCT clients reporting geographic information from 2005-2015 (by period: 2737, 3917, 2104), 1329 (15.2%) lived in postal codes </=5 km from the clinic. Over time, the proportion living in areas covered by Bangkok postal codes </=2 km from any MSM HIV testing venue increased from 12.6% to 41.0% (p<0.01). The proportion living </=5 km from the clinic decreased from 16.6% to 13.0% (p<0.01). HIV prevalence and clinic visit density demonstrated statistically significant non-random spatial patterning. Significant non-random patterning of prevalent infection and client visits highlighted Bangkok's urban HIV epidemic, clinic proximity to clients, and geographic reach. Clients lived closer to testing venues, yet farther from the urban MSM clinic, over time. Spatiotemporal characteristics of VCT clients can help assess service accessibility and guide targeted prevention planning.

INTRODUCTION: In 2014, the Government of Thailand recommended pre-exposure prophylaxis (PrEP) as an additional HIV prevention programme within Thailand's National Guidelines on HIV/AIDS Treatment Prevention. However, to date implementation and uptake of PrEP programmes have been limited, and evidence on the costs and the epidemiological and economic impact is not available. METHODS: We estimated the costs associated with PrEP provision among men having sex with men (MSM) participating in a facility-based, prospective observational cohort study: the Test, Treat and Prevent HIV Programme in Thailand. We created a suite of scenarios to estimate the cost-effectiveness of PrEP and sensitivity of the results to the model input parameters, including PrEP programme effectiveness, PrEP uptake among high-risk and low-risk MSM, baseline and future antiretroviral therapy (ART) coverage, condom use, unit cost of delivering PrEP, and the discount rate. RESULTS: Drug costs accounted for 82.5% of the total cost of providing PrEP, followed by lab testing (8.2%) and personnel costs (7.8%). The estimated costs of providing the PrEP package in accordance with the national recommendation ranges from US$223 to US$311 per person per year. Based on our modelling results, we estimate that PrEP would be cost-effective when provided to either high-risk or all MSM. However, we found that the programme would be approximately 32% more cost-effective if offered to high-risk MSM than it would be if offered to all MSM, with an incremental cost-effectiveness ratio of US$4,836 per disability-adjusted life years (DALY) averted and US$7,089 per DALY averted respectively. Cost-effectiveness acceptability curves demonstrate that 80% of scenarios would be cost-effective when PrEP is provided solely to higher-risk MSM. CONCLUSION: We provide the first estimates on cost and cost-effectiveness of PrEP in the Asia-Pacific region, and offer insights on how to deliver PrEP in combination with ART. While the high drug cost poses a budgeting challenge, incorporating PrEP delivery into an existing ART programme could be a cost-effective strategy to prevent HIV infections among MSM in Thailand.

INTRODUCTION: Antiretroviral therapy reduces the risk of serious illness among people living with HIV and can prevent HIV transmission. We implemented a Test, Treat, and Prevent HIV Program among men who have sex with men (MSM) and transgender women at five hospitals in four provinces of Thailand to increase HIV testing, help those who test positive start antiretroviral therapy, and increase access to pre-exposure prophylaxis (PrEP). METHODS: We implemented rapid HIV testing and trained staff on immediate antiretroviral initiation at the five hospitals and offered PrEP at two hospitals. We recruited MSM and transgender women who walked-in to clinics and used a peer-driven intervention to expand recruitment. We used logistic regression to determine factors associated with prevalent HIV infection and the decision to start antiretroviral therapy and PrEP. RESULTS: During 2015 and 2016, 1880 people enrolled. Participants recruited by peers were younger (p<0.0001), less likely to be HIV-infected (p<0.0001), and those infected had higher CD4 counts (p = 0.04) than participants who walked-in to the clinics. Overall, 16% were HIV-positive: 18% of MSM and 9% of transgender women; 86% started antiretroviral therapy and 46% of eligible participants started PrEP. A higher proportion of participants at hospitals with one-stop HIV services started antiretroviral therapy than other hospitals. Participants who started PrEP were more likely to report sex with an HIV-infected partner (p = 0.002), receptive anal intercourse (p = 0.02), and receiving PrEP information from a hospital (p<0.0001). CONCLUSIONS: We implemented a Test, Treat, and Prevent HIV Program offering rapid HIV testing and immediate access to antiretroviral therapy and PrEP. Peer-driven recruitment reached people at high risk of HIV and people early in HIV illness, providing an opportunity to promote HIV prevention services including PrEP and early antiretroviral therapy. Sites with one-stop HIV services had a higher uptake of antiretroviral therapy and PrEP.

HIV testing among men who have sex with men (MSM) and transgender (TG) women remains low in Thailand. The HIV prevention program (PREV) to increase HIV testing and link those who tested HIV-positive to care provided trainings to peer educators to conduct target mapping, identify high risk MSM and TG women through outreach education and offer them rapid HIV testing. Trained hospital staff provided HIV testing and counseling with same-day results at hospitals and mobile clinics and referred HIV-positive participants for care and treatment. We used a standardized HIV pre-test counseling form to collect participant characteristics and analyzed HIV test results using Poisson regression and Wilcoxon rank sum trend tests to determine trends over time. We calculated HIV incidence using data from participants who initially tested HIV-negative and tested at least one more time during the program. Confidence intervals for HIV incidence rates were calculated using the Exact Poisson method. From September 2011 through August 2016, 5,629 participants had an HIV test; their median age was 24 years, 1,923 (34%) tested at mobile clinics, 5,609 (99.6%) received their test result, and 1,193 (21%) tested HIV positive. The number of people testing increased from 458 in 2012 to 1,832 in 2016 (p < 0.001). Participants testing at mobile clinics were younger (p < 0.001) and more likely to be testing for the first time (p < 0.001) than those tested at hospitals. Of 1,193 HIV-positive participants, 756 (63%) had CD4 testing. Among 925 participants who returned for HIV testing, HIV incidence was 6.2 per 100 person-years. Incidence was highest among people 20-24 years old (10.9 per 100 person-years). HIV testing among MSM and TG women increased during the PREV program. HIV incidence remains alarmingly high especially among young participants. There is an urgent need to expand HIV prevention services to MSM and TG women in Thailand.

BACKGROUND: Songkhla has one of the most serious provincial HIV epidemics among people who inject drugs (PWID). However, there remains a lack of systematic data on drug use patterns, HIV risk behaviors and access to interventions. To address the gap, we conducted an integrated bio-behavioral survey in 2010. METHODS: Respondent-driven sampling (RDS) was used to recruit PWID who reported injecting in the last six months. Participants were interviewed and tested for HIV and sexually transmitted infections (STIs). RDS Analysis Tool (RDSAT) was used to generate adjusted proportion estimates. RESULTS: Of 202 participants, almost all were men, 90% injected heroin, followed by methamphetamine (22%). One-third (37%) injected multiple drugs. HIV prevalence was high (22%). Seven percent reported needle sharing at last injection and 27% reported using a condom at last sex. Nearly half (42%) were currently on methadone treatment. Few participants received new needles (10%) and condoms (11%) from drop-in centers and/or peer outreach workers. CONCLUSION: This RDS survey informs the understanding of the HIV epidemic and the programmatic response among PWID in Songkhla. It was effective at recruiting PWID who were currently out-of-treatment. Given the increasing trend of poly-drug injecting use documented, a comprehensive and integrated combination intervention approach for HIV services is recommended.

BACKGROUND: Thailand's long-standing HIV sero-sentinel surveillance system for people who inject drugs (PWID) is confined to those in methadone-based drug treatment clinics and representative data are scarce, especially outside of Bangkok. METHODS: We conducted probability-based respondent-driven sampling (RDS) surveys in Bangkok (n=738) and Chiang Mai (n=309) to increase understanding of local HIV epidemics and to better inform the planning of evidence-based interventions. RESULTS: PWID had different epidemiological profiles in these two cities. Overall HIV prevalence was higher in Bangkok (23.6% vs. 10.9%, p<0.001) but PWID in Bangkok are older and appear to have long-standing HIV infections. In Chiang Mai, HIV infections appear to be more recently acquired and PWID were younger and had higher levels of recent injecting and sexual risk behaviors with lower levels of intervention exposure. Methamphetamine was the predominant drug injected in both sites and polydrug use was common although levels and patterns of the specific drugs injected varied significantly between the sites. In multivariate analysis, recent midazolam injection was significantly associated with HIV infection in Chiang Mai (adjusted odds ratio=8.1; 95% confidence interval: 1.2-54.5) whereas in Bangkok HIV status was not associated with recent risk behaviors as infections had likely been acquired in the past. CONCLUSION: PWID epidemics in Thailand are heterogeneous and driven by local factors. There is a need to customize intervention strategies for PWID in different settings and to integrate population-based survey methods such as RDS into routine surveillance to monitor the national response.