Social Meets Molecular: Combining Phylogenetic and Latent Class Analyses to Understand HIV-1 Transmission in Switzerland
| Autor: | Dorita Avila, Olivia Keiser, Matthias Egger, Roger Kouyos, Jürg Böni, Sabine Yerly, Thomas Klimkait, Pietro L. Vernazza, Vincent Aubert, Andri Rauch, Sebastian Bonhoeffer, Huldrych F. Günthard, Tanja Stadler, Ben D. Spycher, V. Aubert, J. Barth, M. Battegay, E. Bernasconi, J. Böni, H. C. Bucher, C. Burton-Jeangros, A. Calmy, M. Cavassini, M. Egger, L. Elzi, J. Fehr, J. Fellay, H. Furrer, C. A. Fux, M. Gorgievski, H. Günthard, D. Haerry, B. Hasse, H. H. Hirsch, I. Hösli, C. Kahlert, L. Kaiser, O. Keiser, T. Klimkait, R. Kouyos, H. Kovari, B. Ledergerber, G. Martinetti, B. Martinez de Tejada, K. Metzner, N. Müller, D. Nadal, G. Pantaleo, A. Rauch, S. Regenass, M. Rickenbach, C. Rudin, F. Schöni-Affolter, P. Schmid, D. Schultze, J. Schüpbach, R. Speck, C. Staehelin, P. Tarr, A. Telenti, A. Trkola, P. Vernazza, R. Weber, S. Yerly |
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| Přispěvatelé: | Bernasconi, Enos, Burton-Jeangros, Claudine, Calmy, Alexandra, Kaiser, Laurent, Martinetti, Gregory, Martinez De Tejada Weber, Begona, University of Zurich, Spycher, Ben D |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Male
10028 Institute of Medical Virology Epidemiology HIV Infections 10234 Clinic for Infectious Diseases Medicine Homosexuality Phylogeny media_common ddc:616 1 transmission ddc:618 Transmission (medicine) virus diseases socioeconomic position Middle Aged Latent class model 3. Good health phylogenetics Phylogenetics Socioeconomic position Sexual orientation Female latentclassanalysis Switzerland Cohort study Adult media_common.quotation_subject Concordance HIV-1 transmission 610 Medicine & health injectiondruguse 360 Social problems & social services Latent class analysis Humans Heterosexuality Social Behavior Socioeconomic status Molecular epidemiology business.industry sexualorientation HIV Injection drug use HIV-1 Sociology Medical 570 Life sciences biology business Demography 2713 Epidemiology |
| Zdroj: | Avila, Dorita; Keiser, Olivia; Egger, Matthias; Kouyos, Roger; Böni, Jürg; Yerly, Sabine; Klimkait, Thomas; Vernazza, Pietro L; Aubert, Vincent; Rauch, Andri; Bonhoeffer, Sebastian; Günthard, Huldrych F; Stadler, Tanja; Spycher, Ben D (2014). Social Meets Molecular: Combining Phylogenetic and Latent Class Analyses to Understand HIV-1 Transmission in Switzerland. American journal of epidemiology, 179(12), pp. 1514-1525. Oxford University Press 10.1093/aje/kwu076 AMERICAN JOURNAL OF EPIDEMIOLOGY American Journal of Epidemiology, Vol. 179, No 12 (2014) pp. 1514-1525 American journal of epidemiology |
| ISSN: | 0002-9262 |
| DOI: | 10.1093/aje/kwu076 |
| Popis: | Switzerland has a complex human immunodeficiency virus (HIV) epidemic involving several populations. We examined transmission of HIV type 1 (HIV 1) in a national cohort study. Latent class analysis was used to identify socioeconomic and behavioral groups among 6027 patients enrolled in the Swiss HIV Cohort Study between 2000 and 2011. Phylogenetic analysis of sequence data available for 4013 patients was used to identify transmission clusters. Concordance between sociobehavioral groups and transmission clusters was assessed in correlation and multiple correspondence analyses. A total of 2696 patients were infected with subtype B 203 with subtype C 196 with subtype A and 733 with recombinant subtypes (mainly CRF02\_AG and CRF01\_AE). Latent class analysis identified 8 patient groups. Most transmission clusters of subtype B were shared between groups of gay men (groups 1 3) or between the heterosexual groups ``heterosexual people of lower socioeconomic position{''} (group 4) and ``injection drug users{''} (group 8). Clusters linking homosexual and heterosexual groups were associated with ``older heterosexual and gay people on welfare{''} (group 5). ``Migrant women in heterosexual partnerships{''} (group 6) and ``heterosexual migrants on welfare{''} (group 7) shared non B clusters with groups 4 and 5. Combining approaches from social and molecular epidemiology can provide insights into HIV 1 transmission and inform the design of prevention strategies.}}}}} |
| Databáze: | OpenAIRE |
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