The Journal of Infectious Diseases · 2018 · 22 citations · 46 references
Public HealthInfectious Disease ControlInfectious DiseasesEpidemiologyHiv PreventionPhylogeneticsHiv EpidemiologyPhylogenetic EpidemiologyPhylogenetic Network AnalysisSocial Network AnalysisTransmission DynamicsTransmission Network AnalysisHiv Transmission DynamicsHiv Transmission ReductionHuman Immunodeficiency Virus TransmissionMolecular ClustersSexual Network AnalysisSocial Network InterventionTransmission RatesTransmission Trees
Background: The Transmission Reduction Intervention Project (TRIP) is a network-based intervention that aims at decreasing human immunodeficiency virus type 1 (HIV-1) spread. We herein explore associations between transmission links as estimated by phylogenetic analyses, and social network-based ties among persons who inject drugs (PWID) recruited in TRIP. Methods: Phylogenetic trees were inferred from HIV-1 sequences of TRIP participants. Highly supported phylogenetic clusters (transmission clusters) were those fulfilling 3 different phylogenetic confidence criteria. Social network-based ties (injecting or sexual partners, same venue engagement) were determined based on personal interviews, recruitment links, and field observation. Results: TRIP recruited 356 individuals (90.2% PWID) including HIV-negative controls; recently HIV-infected seeds; long-term HIV-infected seeds; and their social network members. Of the 150 HIV-infected participants, 118 (78.7%) were phylogenetically analyzed. Phylogenetic analyses suggested the existence of 13 transmission clusters with 32 sequences. Seven of these clusters included 14 individuals (14/32 [43.8%]) who also had social ties with at least 1 member of their cluster. This proportion was significantly higher than what was expected by chance. Conclusions: Molecular methods can identify HIV-infected people socially linked with another person in about half of the phylogenetic clusters. This could help public health efforts to locate individuals in networks with high transmission rates.
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Koichiro Tamura, Daniel G. Peterson, Nora Peterson et al. · Molecular Biology and Evolution · 2011 · 40.3K citations · Full text
Bayesian Phylogenetics with BEAUti and the BEAST 1.7
Alexei J. Drummond, Marc A. Suchard, Dong Xie et al. · Molecular Biology and Evolution · 2012 · 10.4K citations · Full text