Evidence map›Paper›PMID 41728321›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Evaluating Spatially Targeted HIV Interventions and Harm Reduction Services Among People Who Inject Drugs in a High-Burden Setting.

Jasmine Wang, Steven J Clipman, Shruti H Mehta, Aylur K Srikrishnan, Shobha Mohapatra, Muniratnam S Kumar, Gregory M Lucas, Carl A Latkin, Sunil S Solomon, Amy Wesolowski

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Jasmine WangDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0001-8465-7613
Steven J ClipmanDivision of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-2366-8420
Shruti H MehtaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Aylur K SrikrishnanYR Gaitonde Centre for AIDS Research and Education, Chennai, India.
Shobha MohapatraYR Gaitonde Centre for AIDS Research and Education, Chennai, India.
Muniratnam S KumarYR Gaitonde Centre for AIDS Research and Education, Chennai, India.
Gregory M LucasDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Carl A LatkinDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Sunil S SolomonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Amy WesolowskiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

Individual, Network and Spatial Drivers of HIV and HCV among PWID in IndiaR01DA041736 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SOLOMON, SUNIL SUHAS · 2016 to 2021
$5.0M
Long-Acting Injectables for Treatment of HIV among PWID (LIFT HIV)DP1DA060602 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Sunil Suhas Solomon · 2024 to 2026
$3.0M
Molecular Networks and Deep Learning for Targeted HIV Interventions among PWIDDP2DA056130 · NIDA · JOHNS HOPKINS UNIVERSITY · PI CLIPMAN, STEVEN J. · 2022 to 2022
$2.5M
NIDA NIH HHS DP1 DA060602NIDA NIH HHS DP2 DA056130NIDA NIH HHS L60 DA056996NIDA NIH HHS R01 DA041736
6 · The paper itself

Abstract

People who inject drugs (PWID) in India continue to experience high HIV incidence while coverage of HIV and harm reduction services within this population remains suboptimal in many settings, highlighting the need to identify novel service delivery points. To evaluate the effectiveness of spatially focused upscaling of interventions at observed venues where PWID injected drugs together, we developed an individual-based dynamic transmission model of HIV informed by detailed injection network, service engagement, and injection venue attendance data collected in a sociometric study of PWID (n = 2512) in New Delhi, India. HIV incidence was simulated for different spatial targeting strategies and with increasing service coverage at injection venues according to UNAIDS/UNODC goals. We identified significant decreases in predicted HIV incidence when deploying interventions at frequently visited injection venues (from 6.8 cases/100 person-years to 2.7/100PY for full service coverage at the most-visited venue, and further down to 1.3/100PY for 12 most-visited venues). Prioritizing the most visited venues stratified by spatial clusters provided services to a larger number of individuals versus prioritizing the overall most visited venues, suggesting that service expansion at venues that are spatially distinct with minimal population overlap has a slightly larger impact on reducing HIV incidence.

Identifiers

PMID41728321
PMCPMC12919148

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.