ArticleAmerican journal of public health2018
Sexual, Social, and Genetic Network Overlap: A Socio-Molecular Approach Toward Public Health Intervention of HIV.
Article in American journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- HIV Response Interventions that Integrate HIV Molecular Cluster and Social Network Analysis: A Systematic Review.AIDS and behavior · 2022Pooled it
- A Systematic Review of the Social Network Strategy to Optimize HIV Testing in Key Populations to End the Epidemic in the United States.AIDS and behavior · 2021Pooled it
- Integrating Partner Services and Molecular Epidemiology Data to Enhance HIV Transmission Disruption in Rhode Island.Open forum infectious diseases · 2025Article
- Ending the HIV Epidemic: Identifying Barriers and Facilitators to Implement Molecular HIV Surveillance to Develop Real-Time Cluster Detection and Response Interventions for Local Communities.International journal of environmental research and public health · 2023Article
- Mapping Biological Risks Related to Necropsy Activities: Old Concerns and Novel Issues for the Safety of Health Professionals.International journal of environmental research and public health · 2021Article
- Recent HIV Infection among men who have sex with men and transgender women in Tijuana.Revista de saude publica · 2020Article
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3 authors.
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Abstract
objectivesTo determine how network-level factors influence individual risk of HIV acquisition, which is key in preventing disease transmission.
methodsWe recruited a cohort of young Black men who have sex with men (n = 618) in Chicago, Illinois, from 2013 to 2016. We identified potential molecular ties via pairwise genetic distance analysis of HIV pol sequences with links inferred between individuals whose sequences were 1.5% or less genetically distant. We defined clusters as 1 or more connections to another individual. We conducted entity resolution between confidant, sexual, referral, and Facebook network data between network types.
resultsOf 266 (43.0%) participants identified as HIV-positive, we obtained 86 (32.3%) genetic sequences. Of these, 35 (40.7%) were linked to 1 or more other sequence; however, none of these were identified in first-, second-, or third-degree confidant and sexual networks. Minimal overlap existed between genetic and Facebook ties.
conclusionsThese results suggest that HIV transmissions may have occurred before elicitation of network data; future studies should expand the data collection timeframe to more accurately determine risk networks. Virtual network data, such as Facebook, may be particularly useful in developing one's risk environment.
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