ArticleAIDS research and human retroviruses2018
HIV-1 Transmission Clustering and Phylodynamics Highlight the Important Role of Young Men Who Have Sex with Men.
Article in AIDS research and human retroviruses, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Phylogenetics and molecular evolution to understand and curb the HIV pandemic.Nature reviews. Microbiology · 2026Review
- Phylodynamics for Human Immunodeficiency Virus Prevention: A Miami-Dade County Case Study.The Journal of infectious diseases · 2025Article
- Bayesian mixture models for phylogenetic source attribution from consensus sequences and time since infection estimates.Statistical methods in medical research · 2025Article
- Increasing intra- and inter-subtype HIV diversity despite declining HIV incidence in Uganda.medRxiv : the preprint server for health sciences · 2024Article
- HIV-1 drug resistance and genetic transmission networks among patients with sexually transmitted HIV in Ningxia, China.Frontiers in public health · 2024Article
- HIV transmission and associated factors under the scale-up of HIV antiretroviral therapy: a population-based longitudinal molecular network study.Virology journal · 2023Article
- Predictors of HIV Molecular Cluster Membership and Implications for Partner Services.AIDS research and human retroviruses · 2023Article
- From components to communities: bringing network science to clustering for molecular epidemiology.Virus evolution · 2023Article
- Optimized phylogenetic clustering of HIV-1 sequence data for public health applications.PLoS computational biology · 2022Article
- Transmitted HIV-1 is more virulent in heterosexual individuals than men-who-have-sex-with-men.PLoS pathogens · 2022Article
- The emergence and transmission dynamics of HIV-1 CRF07_BC in Mainland China.Virus evolution · 2022Article
- Transmission Clusters, Predominantly Associated With Men Who Have Sex With Men, Play a Main Role in the Propagation of HIV-1 in Northern Spain (2013-2018).Frontiers in microbiology · 2022Article
- Molecular epidemiology of HIV-1 in Oryol Oblast, Russia.Virus evolution · 2022Article
- SARS-CoV-2 Molecular Transmission Clusters and Containment Measures in Ten European Regions during the First Pandemic Wave.Life (Basel, Switzerland) · 2021Article
- Molecular Transmission Dynamics of Primary HIV Infections in Lazio Region, Years 2013-2020.Viruses · 2021Article
- Comparative Circulation Dynamics of the Five Main HIV Types in China.Journal of virology · 2020Article
- Identification of Hidden Population Structure in Time-Scaled Phylogenies.Systematic biology · 2020Article
- Genetic clustering analysis for HIV infection among MSM in Nigeria: implications for intervention.AIDS (London, England) · 2020Observational
- Public health in genetic spaces: a statistical framework to optimize cluster-based outbreak detection.Virus evolution · 2020Article
- HIV drug resistance in a cohort of HIV-infected MSM in the United States.AIDS (London, England) · 2020Article
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9 authors.
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Abstract
More persons living with HIV reside in the Southern United States than in any other region, yet little is known about HIV molecular epidemiology in the South. We used cluster and phylodynamic analyses to evaluate HIV transmission patterns in middle Tennessee. We performed cross-sectional analyses of HIV-1 pol sequences and clinical data collected from 2001 to 2015 among persons attending the Vanderbilt Comprehensive Care Clinic. Transmission clusters were identified using maximum likelihood phylogenetics and patristic distance differences. Demographic, risk behavior, and clinical factors were assessed evaluating "active" clusters (clusters including sequences sampled 2011-2015) and associations estimated with logistic regression. Transmission risk ratios for men who have sex with men (MSM) were estimated with phylodynamic models. Among 2915 persons (96% subtype-B sequences), 963 (33%) were members of 292 clusters (distance ≤1.5%, size range 2-39). Most clusters (62%, n = 690 persons) were active, either being newly identified (n = 80) or showing expansion on existing clusters (n = 101). Correlates of active clustering among persons with sequences collected during 2011-2015 included MSM risk and ≤30 years of age. Active clusters were significantly more concentrated in MSM and younger persons than historical clusters. Young MSM (YMSM) (≤26.4 years) had high estimated transmission risk [risk ratio = 4.04 (2.85-5.65) relative to older MSM] and were much more likely to transmit to YMSM. In this Tennessee cohort, transmission clusters over time were more concentrated by MSM and younger age, with high transmission risk among and between YMSM, highlighting the importance of interventions among this group. Detecting active clusters could help direct interventions to disrupt ongoing transmission chains.
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