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ABSTRACT: Objective
To identify correlates of incident HIV infection in rapidly growing HIV molecular clusters.Design
Phylogenetic analysis of HIV public health surveillance data.Methods
High-priority HIV genetic transmission clusters with evidence of rapid growth in 2012 (i.e. clusters with a pairwise genetic distance ≤0.005 substitutions/site and at least three cases diagnosed in 2012) were identified using HIV-TRACE. Then, we investigated cluster growth, defined as HIV cases diagnosed in the following 5 years that were genetically linked to these clusters. For clusters that grew during the follow-up period, Bayesian molecular clock phylogenetic inference was performed to identify clusters with evidence of incident HIV infection (as opposed to diagnosis of previously infect
SUBMITTER: Wertheim JO
PROVIDER: S-EPMC8580737 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature