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Assessing the danger of self-sustained HIV epidemics in heterosexuals by population based phylogenetic cluster analysis

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 determi...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5650480/
https://www.ncbi.nlm.nih.gov/pubmed/28895527
http://dx.doi.org/10.7554/eLife.28721
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author 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
author_facet 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
author_sort Turk, Teja
collection PubMed
description 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 [Formula: see text] , we extend the branching process model to infer transmission parameters. Overall, the [Formula: see text] is estimated to be [Formula: see text] ([Formula: see text]-confidence interval [Formula: see text] — [Formula: see text]) and it is decreasing by [Formula: see text] per [Formula: see text] years ([Formula: see text] — [Formula: see text]). 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.
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spelling pubmed-56504802017-10-23 Assessing the danger of self-sustained HIV epidemics in heterosexuals by population based phylogenetic cluster analysis 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 eLife Epidemiology and Global Health 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 [Formula: see text] , we extend the branching process model to infer transmission parameters. Overall, the [Formula: see text] is estimated to be [Formula: see text] ([Formula: see text]-confidence interval [Formula: see text] — [Formula: see text]) and it is decreasing by [Formula: see text] per [Formula: see text] years ([Formula: see text] — [Formula: see text]). 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. eLife Sciences Publications, Ltd 2017-09-12 /pmc/articles/PMC5650480/ /pubmed/28895527 http://dx.doi.org/10.7554/eLife.28721 Text en © 2017, Turk et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Epidemiology and Global Health
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
Assessing the danger of self-sustained HIV epidemics in heterosexuals by population based phylogenetic cluster analysis
title Assessing the danger of self-sustained HIV epidemics in heterosexuals by population based phylogenetic cluster analysis
title_full Assessing the danger of self-sustained HIV epidemics in heterosexuals by population based phylogenetic cluster analysis
title_fullStr Assessing the danger of self-sustained HIV epidemics in heterosexuals by population based phylogenetic cluster analysis
title_full_unstemmed Assessing the danger of self-sustained HIV epidemics in heterosexuals by population based phylogenetic cluster analysis
title_short Assessing the danger of self-sustained HIV epidemics in heterosexuals by population based phylogenetic cluster analysis
title_sort assessing the danger of self-sustained hiv epidemics in heterosexuals by population based phylogenetic cluster analysis
topic Epidemiology and Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5650480/
https://www.ncbi.nlm.nih.gov/pubmed/28895527
http://dx.doi.org/10.7554/eLife.28721
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