Turk, Teja and Bachmann, Nadine and Kadelka, Claus and Böni, Jürg and Yerly, Sabine and Aubert, Vincent and Klimkait, Thomas and Battegay, Manuel and Bernasconi, Enos and Calmy, Alexandra and Cavassini, Matthias and Furrer, Hansjakob and Hoffmann, Matthias and Günthard, Huldrych F. and Kouyos, Roger D. and Swiss HIV Cohort Study, . (2017) Assessing the danger of self-sustained HIV epidemics in heterosexuals by population based phylogenetic cluster analysis. eLife, 6. e28721.
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Official URL: https://edoc.unibas.ch/62096/
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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.
Faculties and Departments: | 03 Faculty of Medicine > Departement Biomedizin > Division of Medical Microbiology > Molecular Virology (Klimkait) 03 Faculty of Medicine > Departement Klinische Forschung > Clinical Epidemiology and Biostatistics CEB 03 Faculty of Medicine > Departement Klinische Forschung > Clinical Epidemiology and Biostatistics CEB > Klinische Epidemiologie (Bucher H) |
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UniBasel Contributors: | Bucher, Heiner C. and Klimkait, Thomas |
Item Type: | Article, refereed |
Article Subtype: | Research Article |
Publisher: | eLife Sciences Publications |
e-ISSN: | 2050-084X |
Note: | Publication type according to Uni Basel Research Database: Journal article |
Related URLs: | |
Identification Number: |
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Last Modified: | 05 Oct 2020 07:06 |
Deposited On: | 05 Oct 2020 07:06 |
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