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An Approach to Quantifying the Interaction between Behavioral and Transmission Clusters

Department of Infectious Diseases, Bern University Hospital Inselspital, University of Bern, 3010 Bern, Switzerland
Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland
Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
Institute of Nursing Science, University of Basel, 4056 Basel, Switzerland
Department of Public Health, Epidemiology, Biostatistics and Public Health Institute, University of Zurich, 8001 Zurich, Switzerland
Division of Infectious Diseases, Ente Ospedaliero Cantonale, 6900 Lugano, Switzerland
University of Southern Switzerland, 6928 Manno, Switzerland
Division of Infectious Diseases, Geneva University Hospitals, 1205 Geneva, Switzerland
Infectious Diseases Service, Lausanne University Hospital (CHUV), 1011 Lausanne, Switzerland
University of Lausanne, 1015 Lausanne, Switzerland
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Membership of the Swiss HIV Cohort Study is provided in the Acknowledgments.
Academic Editor: Miguel A. Martínez
Viruses 2022, 14(4), 784;
Received: 23 February 2022 / Revised: 5 April 2022 / Accepted: 6 April 2022 / Published: 10 April 2022
(This article belongs to the Special Issue HIV-1 and Hepatitis Virus Co-infection)
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. View Full-Text
Keywords: clusters; sexual behavior; transmission networks; hepatitis C virus clusters; sexual behavior; transmission networks; hepatitis C virus
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MDPI and ACS Style

Salazar-Vizcaya, L.; Kusejko, K.; Günthard, H.F.; Böni, J.; Metzner, K.J.; Braun, D.L.; Nicca, D.; Bernasconi, E.; Calmy, A.; Darling, K.E.A.; Wandeler, G.; Kouyos, R.D.; Rauch, A.; the Swiss HIV Cohort Study. An Approach to Quantifying the Interaction between Behavioral and Transmission Clusters. Viruses 2022, 14, 784.

AMA Style

Salazar-Vizcaya L, Kusejko K, Günthard HF, Böni J, Metzner KJ, Braun DL, Nicca D, Bernasconi E, Calmy A, Darling KEA, Wandeler G, Kouyos RD, Rauch A, the Swiss HIV Cohort Study. An Approach to Quantifying the Interaction between Behavioral and Transmission Clusters. Viruses. 2022; 14(4):784.

Chicago/Turabian Style

Salazar-Vizcaya, Luisa, Katharina Kusejko, Huldrych F. Günthard, Jürg Böni, Karin J. Metzner, Dominique L. Braun, Dunja Nicca, Enos Bernasconi, Alexandra Calmy, Katharine E. A. Darling, Gilles Wandeler, Roger D. Kouyos, Andri Rauch, and the Swiss HIV Cohort Study. 2022. "An Approach to Quantifying the Interaction between Behavioral and Transmission Clusters" Viruses 14, no. 4: 784.

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