Exploring HIV-1 transmission dynamics by combining phylogenetic analysis and infection timing

Chris Verhofstede, Virginie Mortier, Kenny Dauwe, Steven Callens, Jessika Deblonde, Geraldine Dessilly, Marie-Luce Delforge, Katrien Fransen, Andre Sasse, Karolien Stoffels, Dominique Van Beckhoven, Fien Vanroye, Dolores Vaira, Ellen Vancutsem, Kristel Van Laethem

    Research output: Contribution to journalA1: Web of Science-article

    Abstract

    HIV-1 pol sequences obtained through baseline drug resistance testing of patients newly diagnosed between 2013 and 2017 were analyzed for genetic similarity. For 927 patients the information on genetic similarity was combined with demographic data and with information on the recency of infection. Overall, 48.3% of the patients were genetically linked with 11.4% belonging to a pair and 36.9% involved in a cluster of >= 3 members. The percentage of early diagnosed (4 months after infection increasing the opportunities for onward transmission. Prevention of local infection should focus on earlier diagnosis and protection of the still uninfected members of sexual networks with human immunodeficiency virus (HIV)-infected members.

    Original languageEnglish
    Article number1096
    JournalViruses-Basel
    Volume11
    Issue number12
    Number of pages13
    DOIs
    Publication statusPublished - 2019

    Keywords

    • human immunodeficiency virus (HIV)
    • transmission dynamics
    • transmission networks and clusters
    • molecular epidemiology
    • phylogenetic analysis
    • prevention
    • YOUNG MEN
    • SEX
    • EPIDEMIC
    • PERFORMANCE
    • SPREAD
    • DETERMINANTS
    • NETWORKS
    • INSIGHTS
    • CHICAGO
    • EVENTS

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