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• W3015382885 abstract "To identify correlates of incident HIV infection in rapidly growing HIV molecular clusters.Phylogenetic analysis of HIV public health surveillance data.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 infected cases) during this follow-up period.Of the 116 rapidly growing clusters identified, 73 (63%) had phylogenetic evidence for an incident HIV case during the 5-year follow-up period. Correlates of an incident HIV case arising in clusters included a greater number of diagnosed but virally unsuppressed cases in 2012, a greater number of inferred undiagnosed cases in the cluster in 2012, and a younger time of most recent common ancestor for the cluster.These findings suggest that incident infections in rapidly growing clusters originate equally from diagnosed but unsuppressed cases and undiagnosed infections. These results highlight the importance of promoting retention in care and viral suppression as well as partner notification and other case-finding activities when investigating and intervening on high-priority molecular transmission clusters." @default.
• W3015382885 created "2020-04-17" @default.
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• W3015382885 date "2020-04-13" @default.
• W3015382885 modified "2023-10-16" @default.
• W3015382885 title "Incident infection in high-priority HIV molecular transmission clusters in the United States" @default.
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• W3015382885 doi "https://doi.org/10.1097/qad.0000000000002531" @default.
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