Data Sheet 1_Understanding social context in HIV and drug use via community-informed computational modeling: SILOS study protocol.pdf
收藏NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://figshare.com/articles/dataset/Data_Sheet_1_Understanding_social_context_in_HIV_and_drug_use_via_community-informed_computational_modeling_SILOS_study_protocol_pdf/30782804
下载链接
链接失效反馈官方服务:
资源简介:
IntroductionRacial, ethnic, and sexual and gender minority populations are disproportionately impacted by HIV and other infectious diseases. A rigorous and holistic view of how individual and complex factors interact to produce health disparities among minority populations is urgently necessary.
MethodsThis project seeks to understand the social and contextual systems around the most marginalized HIV-impacted populations by investigating how differences in access to people and places confer HIV risk. Specifically, we have planned an innovative observational study across five US cities, administering in-depth remote network surveys to 2,700 racially diverse young men who have sex with men and transgender women. The data captured will be used to develop simulation models of city-specific synthetic populations to examine how differences in the people and places populations have access to pools risk within marginalized populations and increases their disparities in HIV.
ResultsThe study was awarded in August 2024 but has paused since March 2025 due to the NIH’s termination of the study just prior to the start of participant recruitment. The future of the work is currently unclear as we pursue multiple avenues for reinstatement.
DiscussionDrawing upon both our expertise in network modeling and our strong community partnerships, this project remains poised to transform scientific understanding of the structural drivers of health inequity.
创建时间:
2025-12-04



