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An Approach to Quantifying the Interaction between Behavioral and Transmission Clusters.
Salazar-Vizcaya, Luisa; Kusejko, Katharina; Günthard, Huldrych F; Böni, Jürg; Metzner, Karin J; Braun, Dominique L; Nicca, Dunja; Bernasconi, Enos; Calmy, Alexandra; Darling, Katharine E A; Wandeler, Gilles; Kouyos, Roger D; Rauch, Andri.
  • Salazar-Vizcaya L; Department of Infectious Diseases, Bern University Hospital Inselspital, University of Bern, 3010 Bern, Switzerland.
  • Kusejko K; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland.
  • Günthard HF; Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland.
  • Böni J; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland.
  • Metzner KJ; Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland.
  • Braun DL; Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland.
  • Nicca D; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland.
  • Bernasconi E; Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland.
  • Calmy A; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland.
  • Darling KEA; Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland.
  • Wandeler G; Institute of Nursing Science, University of Basel, 4056 Basel, Switzerland.
  • Kouyos RD; Department of Public Health, Epidemiology, Biostatistics and Public Health Institute, University of Zurich, 8001 Zurich, Switzerland.
  • Rauch A; Division of Infectious Diseases, Ente Ospedaliero Cantonale, 6900 Lugano, Switzerland.
  • The Swiss Hiv Cohort Study; University of Southern Switzerland, 6928 Manno, Switzerland.
Viruses ; 14(4)2022 04 10.
Article in English | MEDLINE | ID: covidwho-1786080
ABSTRACT
We hypothesize that patterns of sexual behavior play a role in the conformation of transmission networks, i.e., the way you behave might influence whom you have sex with. If that was the case, behavioral grouping might in turn correlate with, and potentially predict transmission networking, e.g., proximity in a viral phylogeny. We rigorously present an intuitive approach to address this hypothesis by quantifying mapped interactions between groups defined by similarities in sexual behavior along a virus phylogeny while discussing power and sample size considerations. Data from the Swiss HIV Cohort Study on condom use and hepatitis C virus (HCV) sequences served as proof-of-concept. In this case, a strict inclusion criteria contrasting with low HCV prevalence hindered our possibilities to identify significant relationships. This manuscript serves as guide for studies aimed at characterizing interactions between behavioral patterns and transmission networks. Large transmission networks such as those of HIV or COVID-19 are prime candidates for applying this methodological approach.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: HIV Infections / Hepatitis C / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans / Male Language: English Year: 2022 Document Type: Article Affiliation country: V14040784

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Full text: Available Collection: International databases Database: MEDLINE Main subject: HIV Infections / Hepatitis C / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans / Male Language: English Year: 2022 Document Type: Article Affiliation country: V14040784