An Approach to Quantifying the Interaction between Behavioral and Transmission Clusters.

Details

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State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_2AC8E763AB62
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
An Approach to Quantifying the Interaction between Behavioral and Transmission Clusters.
Journal
Viruses
Author(s)
Salazar-Vizcaya L., Kusejko K., Günthard H.F., Böni J., Metzner K.J., Braun D.L., Nicca D., Bernasconi E., Calmy A., Darling KEA, Wandeler G., Kouyos R.D., Rauch A.
Working group(s)
The Swiss Hiv Cohort Study
ISSN
1999-4915 (Electronic)
ISSN-L
1999-4915
Publication state
Published
Issued date
10/04/2022
Peer-reviewed
Oui
Volume
14
Number
4
Pages
784
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
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.
Keywords
COVID-19/epidemiology, Cohort Studies, HIV Infections, Hepacivirus/genetics, Hepatitis C, Homosexuality, Male, Humans, Male, Phylogeny, Prevalence, clusters, hepatitis C virus, sexual behavior, transmission networks
Pubmed
Web of science
Open Access
Yes
Create date
02/05/2022 13:59
Last modification date
23/01/2024 7:22
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