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Assessing the danger of self-sustained HIV epidemics in heterosexuals by population based phylogenetic cluster analysis
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4267050
Author(s) Turk, Teja; Bachmann, Nadine; Kadelka, Claus; Böni, Jürg; Yerly, Sabine; Aubert, Vincent; Klimkait, Thomas; Battegay, Manuel; Bernasconi, Enos; Calmy, Alexandra; Cavassini, Matthias; Furrer, Hansjakob; Hoffmann, Matthias; Günthard, Huldrych F.; Kouyos, Roger D.; Swiss HIV Cohort Study,
Author(s) at UniBasel Bucher, Heiner
Klimkait, Thomas
Year 2017
Title Assessing the danger of self-sustained HIV epidemics in heterosexuals by population based phylogenetic cluster analysis
Journal eLife
Volume 6
Pages / Article-Number e28721
Mesh terms Basic Reproduction Number; Cluster Analysis; Disease Transmission, Infectious; Epidemics; Female; HIV Infections, virology; Heterosexuality; Humans; Male; Models, Statistical; Molecular Epidemiology; Phylogeny; Switzerland, epidemiology
Abstract Assessing the danger of transition of HIV transmission from a concentrated to a generalized epidemic is of major importance for public health. In this study, we develop a phylogeny-based statistical approach to address this question. As a case study, we use this to investigate the trends and determinants of HIV transmission among Swiss heterosexuals. We extract the corresponding transmission clusters from a phylogenetic tree. To capture the incomplete sampling, the delayed introduction of imported infections to Switzerland, and potential factors associated with basic reproductive number R0, we extend the branching process model to infer transmission parameters. Overall, the R0 is estimated to be 0.44 (95%-confidence interval 0.42-0.46) and it is decreasing by 11% per 10 years (4%-17%). Our findings indicate rather diminishing HIV transmission among Swiss heterosexuals far below the epidemic threshold. Generally, our approach allows to assess the danger of self-sustained epidemics from any viral sequence data.
Publisher eLife Sciences Publications
ISSN/ISBN 2050-084X
URL https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5650480/
edoc-URL https://edoc.unibas.ch/62096/
Full Text on edoc No
Digital Object Identifier DOI 10.7554/eLife.28721
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/28895527
ISI-Number 000411487000001
Document type (ISI) Journal Article
 
   

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