학술논문

Leveraging social networks for identification of people with HIV who are virally unsuppressed
Document Type
article
Source
AIDS. 38(2)
Subject
Biomedical and Clinical Sciences
Public Health
Health Sciences
HIV/AIDS
Clinical Research
Infection
Male
Humans
HIV Infections
Sexual Partners
Sexual and Gender Minorities
Social Networking
Contact Tracing
contact tracing
engagement
HIV
people with HIV
recruitment
social networks
Biological Sciences
Medical and Health Sciences
Psychology and Cognitive Sciences
Virology
Biomedical and clinical sciences
Health sciences
Language
Abstract
ObjectivesThis study investigates primary peer-referral engagement (PRE) strategies to assess which strategy results in engaging higher numbers of people with HIV (PWH) who are virally unsuppressed.DesignWe develop a modeling study that simulates an HIV epidemic (transmission, disease progression, and viral evolution) over 6 years using an agent-based model followed by simulating PRE strategies. We investigate two PRE strategies where referrals are based on social network strategies (SNS) or sexual partner contact tracing (SPCT).MethodsWe parameterize, calibrate, and validate our study using data from Chicago on Black sexual minority men to assess these strategies for a population with high incidence and prevalence of HIV. For each strategy, we calculate the number of PWH recruited who are undiagnosed or out-of-care (OoC) and the number of direct or indirect transmissions.ResultsSNS and SPCT identified 256.5 [95% confidence interval (CI) 234-279] and 15 (95% CI 7-27) PWH, respectively. Of these, SNS identified 159 (95% CI 142-177) PWH OoC and 32 (95% CI 21-43) PWH undiagnosed compared with 9 (95% CI 3-18) and 2 (95% CI 0-5) for SPCT. SNS identified 15.5 (95% CI 6-25) and 7.5 (95% CI 2-11) indirect and direct transmission pairs, whereas SPCT identified 6 (95% CI 0-8) and 5 (95% CI 0-8), respectively.ConclusionWith no testing constraints, SNS is the more effective strategy to identify undiagnosed and OoC PWH. Neither strategy is successful at identifying sufficient indirect or direct transmission pairs to investigate transmission networks.