Transgender women globally are disproportionately burdened by HIV. Co-occurring epidemics of adverse psychosocial exposures accelerate HIV sexual risk, including among transgender women; however, studies using additive models fail to examine synergies among psychosocial conditions that define a syndemic. We examined the impact of synergistic interactions among 4 psychosocial exposures on condomless anal sex (CAS) among transgender women in India. A national probability-based sample of 4,607 HIV-negative transgender women completed the Indian Integrated Biological and Behavioural Surveillance survey, 2014−2015. We used linear probability regression and logistic regression to assess 2-, 3-, and 4-way interactions among 4 psychosocial exposures (physical violence, sexual violence, drug use, and alcohol use) on CAS. Overall, 27.3% reported physical and 22.3% sexual violence victimization (39.2% either physical or sexual violence), one-third (33.9%) reported frequent alcohol use and 11.5% illicit drug use. Physical violence was associated with twofold higher odds of CAS in the main effects model. Statistically significant two- and three-way interactions were identified, on both the multiplicative and the additive scales, between physical violence and drug use; physical and sexual violence; physical violence, sexual violence, and alcohol use; and physical violence, alcohol use and drug use. Physical and sexual violence victimization, and alcohol and drug use are highly prevalent and synergistically interact to increase CAS among HIV-negative transgender women in India. Targeted and integrated multilevel initiatives to improve the assessment of psychosocial comorbidities, to combat systemic transphobic violence, and to provide tailored, trauma-informed alcohol and substance use treatment services may reduce HIV risk among transgender women.

India has the world’s second-largest HIV burden. Key populations of female sex workers (FSW), men who have sex with men (MSM), hijra/transgender (H/TG) people, and people who inject drugs (PWID), are disproportionately affected by the HIV epidemic. A community-led programmatic mapping and population size estimation (PMPSE) was carried out in 651 districts of 32 States and Union Territories of India. The goal was to identify the hotspots, network operators, and estimate the size of key population groups. This involved documenting the known hotspots, visiting them for rapid field assessment through key informants’/ network operators interviews, and identifying additional hotspots/ network operators through the snow-balling approach from the existing hotspots. For each identified hotspot, network operator, and village, size of each key population group was estimated after adjusting for the duplications and overlaps. These estimates were then aggregated to arrive at district, State, and ultimately national-level estimates. PMPSE estimated a total of 9,95,499 (9,02,277–10,88,712) FSWs, 3,51,020 (3,13,860–3,88,175) MSM, 2,88,717 (2,53,024-3,24,407) PWIDs, and 96,193 (85,206-1,07,174) H/TG individuals. The number of FSWs per 1000 adult women in different States/Union Territories (UT) varied from 0.34 to 17.25; MSM estimates ranged from 0.07 to 7.35 per 1000 adult men, H/TG persons ranged from 0.03 to 2.75 per 1000 adult men, and PWIDs ranged from 0.01 to 31.30 per 1000 adult men. Additionally, approximately 14% of FSWs, 7% of MSM, and 8% of H/TG individuals were estimated to operate exclusively through network operators. The community-led PMPSE has updated the size estimates for FSWs, MSM, PWIDs, and H/TG individuals at a granular level. This approach has emphatically quantified the presence of network operators. The methodological simplicity of the present round of PMPSE is likely to encourage and facilitate its periodic implementation for better tracking of population level changes in HIV burden based on more reliable denominators.

Reducing the stigma and discrimination faced by men who have sex with men (MSM) and transgender women (TGW) in healthcare settings is key to improving health outcomes. Using a one-group pre- and post-test design, we tested the efficacy of a theory-informed, multi-level pilot intervention (“Harmony”) among 98 healthcare workers (HCWs) to reduce sexual orientation and gender identity (SOGI)-related stigma and discrimination faced by MSM and TGW in two public hospitals. The intervention contained group-level (a half-day workshop) and individual-level (four videos) components. Using multi-level modelling, we compared knowledge, attitudes, and comfort level among HCWs across three timepoints: pre-intervention, post-intervention, and follow-up (2 months after the intervention). Client surveys were conducted among 400 MSM/TGW (two independent samples of 200 MSM/TGW) attending the intervention hospitals, before the intervention among HCWs and three months after the intervention. Generalised estimating equations assessed service users’ satisfaction with hospital services, discrimination experiences, and positive interactions with HCWs. Significant changes were observed in primary outcomes: 30% increase in positive attitude scores (incidence rate ratio (IRR) = 1.30, 95% CI 1.13–1.49) and 23% increase in the proportion of HCWs reporting being comfortable in providing care to MSM/TGW (IRR = 1.23, 95% CI 0.03–1.68). Similarly, there was a significant improvement in secondary outcomes (scores): support for non-discriminatory hospital policies (IRR = 1.08, 95% CI 1.004–1.15), the importance of asking SOGI questions in clinical history (IRR = 1.17, 95% CI 1.06–1.29), and perceived self-efficacy in providing clinical care (IRR = 1.13, 95% CI 1.01–1.27). Service users’ data provided corroborative evidence for intervention efficacy: e.g., 14% increase in the proportion of MSM reporting overall satisfaction with hospital services and 6% and 15% increase in the scores of positive interactions with HCWs in the combined sample of MSM/TGW and TGW, respectively. The Harmony intervention showed preliminary evidence for improving positive attitudes, comfort level, and understanding of the healthcare issues of MSM/TGW among HCWs, warranting large-scale implementation research.

India bears a quarter of the global tuberculosis (TB) burden and nearly one-third of TB related deaths, but substantial regional heterogeneity demands tailored elimination strategies. We propose the Dual-phase Operational Strategy for Tuberculosis elimination (DOST), a roadmap that explicitly addresses TB as both an infectious disease and a structural challenge. Phase 1 focuses on rapidly reducing transmission through intensified case-finding, upfront molecular diagnosis, and strengthened treatment, as demonstrated by India’s 100-Day TB Campaign, which expanded community screening and accelerated therapy initiation. Phase 2 pivots to preventing disease progression by scaling up TB preventive treatment and addressing key drivers such as undernutrition, HIV, and diabetes. DOST emphasizes subnational adaptation: high-burden states prioritize disease reduction, while states nearing low incidence shift toward preventing flare-ups and sustaining progress. Rooted in the Hindi word dost (friend), this person-centered approach integrates medical and social support, recognizing that eliminating TB in India requires compassion paired with structural action. By sequencing and localizing proven interventions, DOST offers a pragmatic pathway from TB response to TB elimination.