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Evaluating Spatially Targeted HIV Interventions and Harm Reduction Services Among People Who Inject Drugs in a
Jasmine Wang1, Steven J Clipman2, Shruti H Mehta1
1Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Medrxiv : the Preprint Server for Health Sciences
|February 23, 2026
Summary
Targeting HIV interventions at popular drug injection sites in New Delhi significantly reduces new HIV infections among people who inject drugs (PWID). Prioritizing spatially distinct venues maximizes service impact and lowers incidence.
Area of Science:
- Epidemiology
- Public Health
- Mathematical Modeling
Background:
- People who inject drugs (PWID) in India face high HIV incidence.
- Current HIV and harm reduction service coverage for PWID is suboptimal.
- Novel service delivery points are needed to improve HIV prevention.
Purpose of the Study:
- To evaluate the effectiveness of spatially focused HIV interventions at drug injection venues.
- To model HIV transmission dynamics among PWID in New Delhi.
- To identify optimal strategies for scaling up harm reduction services.
Main Methods:
- Developed an individual-based dynamic HIV transmission model.
- Utilized data from a sociometric study of 2512 PWID in New Delhi.
- Simulated HIV incidence under various spatial targeting and service coverage scenarios.
Main Results:
- Significant decreases in predicted HIV incidence were observed when interventions were deployed at frequently visited injection venues.
- Full service coverage at the most-visited venue reduced incidence from 6.8 to 2.7 cases/100 person-years.
- Targeting 12 most-visited venues reduced incidence to 1.3 cases/100 person-years.
- Prioritizing venues by spatial clusters, rather than overall popularity, reached more individuals and had a slightly larger impact.
Conclusions:
- Spatially focused HIV interventions at high-frequency drug injection venues are effective in reducing HIV incidence among PWID.
- Strategic expansion of services at spatially distinct venues with minimal overlap maximizes intervention impact.
- Modeling provides a valuable tool for optimizing resource allocation in HIV prevention programs for PWID.
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