Faculty, Staff and Student Publications

Publication Date

8-1-2024

Journal

Annals of Epidemiology

DOI

10.1016/j.annepidem.2024.07.001

PMID

38971348

PMCID

PMC11365700

PubMedCentral® Posted Date

8-1-2025

PubMedCentral® Full Text Version

Author MSS

Abstract

Purpose: HIV biomedical intervention uptake is suboptimal among Black sexually minoritized men (SMM) and transgender women (TW). Venues where people meet and interact shape HIV-related risk and prevention behaviors. We aimed to construct GPS-defined venue-based affiliation networks and identify the unique set of venues that could maximize reach of HIV biomedical interventions among Black SMM and TW.

Methods: We used baseline survey and GPS data from 272 Black SMM and TW in the Neighborhoods and Networks (N2) Cohort Study in Chicago, Illinois (2018-2019). We mapped participants' GPS data to the nearest pre-identified SMM- and TW-friendly venue (n = 222) to construct affiliation networks. Network analyses were performed to identify influential venues that can yield high reach to intervention candidates.

Results: Participants were affiliated with 75.5 % of all pre-identified venues based on GPS data. Two influential venues were identified in the non-PrEP use network, which when combined, could reach 52.5 % of participants not taking PrEP. Participants that could be reached through these two influential venues reported more non-main sex partners than participants not affiliated with either venue (p = 0.049).

Conclusion: We demonstrate a potential for GPS-defined venue-based affiliation networks to identify unique combinations of venues that could maximize the impact of HIV prevention interventions.

Keywords

Humans, Male, HIV Infections, Transgender Persons, Female, Adult, Black or African American, Chicago, Sexual Behavior, Geographic Information Systems, Young Adult, Middle Aged, Adolescent, Sexual and Gender Minorities, Sexual Partners, Cohort Studies, HIV, Sexual and Gender Minorities, Transgender Persons, Black or African American, Social Network Analysis, Geographic Information System

Published Open-Access

yes

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