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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2017
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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. |
format | Online Article Text |
id | pubmed-5650480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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