Determinants of sexual network structure and their impact on cumulative network measures.

PLoS Computational Biology
Boris V Schmid, Mirjam Kretzschmar

Abstract

There are four major quantities that are measured in sexual behavior surveys that are thought to be especially relevant for the performance of sexual network models in terms of disease transmission. These are (i) the cumulative distribution of lifetime number of partners, (ii) the distribution of partnership durations, (iii) the distribution of gap lengths between partnerships, and (iv) the number of recent partners. Fitting a network model to these quantities as measured in sexual behavior surveys is expected to result in a good description of Chlamydia trachomatis transmission in terms of the heterogeneity of the distribution of infection in the population. Here we present a simulation model of a sexual contact network, in which we explored the role of behavioral heterogeneity of simulated individuals on the ability of the model to reproduce population-level sexual survey data from the Netherlands and UK. We find that a high level of heterogeneity in the ability of individuals to acquire and maintain (additional) partners strongly facilitates the ability of the model to accurately simulate the powerlaw-like distribution of the lifetime number of partners, and the age at which these partnerships were accumulated, as surveyed i...Continue Reading

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Citations

Feb 15, 2013·Journal of the International AIDS Society·Larry Sawers
Apr 5, 2013·PLoS Computational Biology·Luis E C Rocha, Vincent D Blondel
Oct 17, 2017·Viruses·Javier Díez-DomingoJavier Villanueva-Oller
Feb 13, 2016·PloS One·Björn VandewalleJorge Félix

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