ArticleJournal of acquired immune deficiency syndromes (1999)2015
A Data-Driven Simulation of HIV Spread Among Young Men Who Have Sex With Men: Role of Age and Race Mixing and STIs.
Article in Journal of acquired immune deficiency syndromes (1999), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.
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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.
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.
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Who cites it
45 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A Review of Network Models for HIV Spread.Journal of acquired immune deficiency syndromes (1999) · 2025Pooled it
- Sexual Risk Behaviors in Adolescent Sexual Minority Males: A Systematic Review and Meta-Analysis.The journal of primary prevention · 2018Pooled it
- Feasibility of the Adapted MyPEEPS Mobile App for HIV Prevention in Young Transgender Men.AIDS education and prevention : official publication of the International Society for AIDS Education · 2025Trial
- Age- and Race/Ethnicity-Specific Sex Partner Correlates of Condomless Sex in an Online Sample of Hispanic/Latino, Black/African-American, and White Men Who Have Sex with Men.Archives of sexual behavior · 2020Trial
- Biomedical and Behavioral Outcomes of Keep It Up!: An eHealth HIV Prevention Program RCT.American journal of preventive medicine · 2018Trial
- Prevalence and Risk Factors for Rectal and Urethral Sexually Transmitted Infections From Self-Collected Samples Among Young Men Who Have Sex With Men Participating in the Keep It Up! 2.0 Randomized Controlled Trial.Sexually transmitted diseases · 2017Trial
- Understanding social context in HIV and drug use via community-informed computational modeling: SILOS study protocol.Frontiers in public health · 2025Article
- Self-Reported PrEP Use and Risk of Bacterial STIs Among Ontarian Men Who Are Gay or Bisexual or Have Sex With Men.Annals of family medicine · 2024Article
- Predicting sexually transmitted infections among men who have sex with men in Zimbabwe using deep learning and ensemble machine learning models.PLOS digital health · 2024Article
- Approximate inference for longitudinal mechanistic HIV contact network.Applied network science · 2024Article
- Article
- Effect of Screening and Treatment for Gonorrhea and Chlamydia on HIV Incidence Among Men Who Have Sex With Men in the United States: A Modeling Analysis.Sexually transmitted diseases · 2022Article
- Spatial accessibility to HIV testing, treatment, and prevention services in Illinois and Chicago, USA.PloS one · 2022Article
- A Qualitative Study to Inform Adaptation of MyPEEPS Mobile for Transmasculine Youth.Journal of health care for the poor and underserved · 2022Article
- The Value and Challenge of Frequent Human Immunodeficiency Virus (HIV) Testing Among Young Men Who Have Sex With Men in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- A call for epidemic modeling to examine historical and structural drivers of racial disparities in infectious disease.Social science & medicine (1982) · 2021Article
- The Estimated Number and Lifetime Medical Cost of HIV Infections Attributable to Sexually Transmitted Infections Acquired in the United States in 2018: A Compilation of Published Modeling Results.Sexually transmitted diseases · 2021Article
- Mind the Gap: HIV Prevention Among Young Black Men Who Have Sex with Men.Current HIV/AIDS reports · 2020Review
- Population-level Benefits of Extragenital Gonorrhea Screening Among Men Who Have Sex With Men: An Exploratory Modeling Analysis.Sexually transmitted diseases · 2020Article
- Ethnic variations in sexual partnerships and mixing, and their association with STI diagnosis: findings from a cross-sectional biobehavioural survey of attendees of sexual health clinics across England.Sexually transmitted infections · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
objectiveYoung men who have sex with men (YMSM) in the United States have a high HIV incidence with substantial racial disparities that are poorly understood. We use a data-driven simulation model to understand the impact of network-level mechanisms and sexually transmitted infections on the spread of HIV among YMSM.
methodsWe designed and parameterized a stochastic agent-based network simulation model using results of a longitudinal cohort study of YMSM in Chicago. Within this model, YMSM formed and dissolved partnerships over time, and partnership types were stratified by length of partnership, sex, and age of the partner. In each partnership, HIV, gonorrhea, and chlamydia could be transmitted. Counterfactual scenarios were run to examine drivers of HIV.
resultsOver a 15-year simulation, the HIV epidemic among YMSM continued to rise, with Latino/white YMSM facing a steeper increase in the HIV burden compared with black YMSM. YMSM in partnerships with older MSM, in particular black YMSM with older black MSM, were at highest risk for HIV, and 1 infection prevented with an older partner would prevent 0.8 additional infections among YMSM. Additionally, racial disparities in HIV were driven by differences in the HIV prevalence of YMSM partners. Finally, of all HIV infections among YMSM, 14.6% were attributable to NG and CT infections.
conclusionNetwork-level mechanisms and sexually transmitted infections play a significant role in the spread of HIV and in racial disparities among YMSM. HIV prevention efforts should target YMSM across race, and interventions focusing on YMSM partnerships with older MSM might be highly effective.
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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.