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Statistical Communications in Infectious Diseases

Editor-in-Chief: Evans, Scott

Online
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1948-4690
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Heterogeneity in Number and Type of Sexual Contacts in a Gay Urban Cohort

Ethan O. Romero-Severson / Shah Jamal Alam / Erik M. Volz / James S. Koopman
Published Online: 2012-11-04 | DOI: https://doi.org/10.1515/1948-4690.1042

Abstract

HIV transmission models include heterogeneous individuals with different sexual behaviors including contact rates, mixing patterns, and sexual practices. However, heterogeneity can also exist within individuals over time. In this paper we analyze a two year prospective cohort of 882 gay men with observations at six month intervals focusing on heterogeneity both within and between individuals in sexual contact rates and sexual roles. The total number of sexual contacts made over the course of the study (mean 1.55 per month) are highly variable between individuals (standard deviation 9.82 per month) as expected. At the individual level, contacts were also heterogeneous over time. For a homogeneous count process the variance should scale with the mean; however, at the individual level the variance scaled with the square root of the mean implying the presence of heterogeneity within individuals over time. We also observed a high level of movement between dichotomous sexual roles (insertive/receptive, protected/unprotected, anal/oral, and HIV status of partners). On average periods of exclusively unprotected sexual contacted lasted 16 months. Our results suggest that future HIV models should consider heterogeneities both between and within individuals in sexual contact rates and sexual roles.

Keywords: HIV; behavior; contact rates

About the article

Published Online: 2012-11-04


Citation Information: Statistical Communications in Infectious Diseases, Volume 4, Issue 1, ISSN (Online) 1948-4690, DOI: https://doi.org/10.1515/1948-4690.1042.

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©2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston.Get Permission

Citing Articles

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[1]
E. O. Romero-Severson, E. Volz, J. S. Koopman, T. Leitner, and E. L. Ionides
American Journal of Epidemiology, 2015, Volume 182, Number 3, Page 255
[2]
E.O. Romero-Severson, G.D. Meadors, E.M. Volz, J.M. Hyman, F. Milner, and J. Saldaña
Mathematical Modelling of Natural Phenomena, 2014, Volume 9, Number 2, Page 121
[3]
Carles Bretó, Edward L. Ionides, and Aaron A. King
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Maurane Riesen, Victor Garcia, Nicola Low, and Christian L. Althaus
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[5]
Christopher J. Henry and James S. Koopman
Scientific Reports, 2015, Volume 5, Number 1
[6]
Shah Jamal Alam, Xinyu Zhang, Ethan Obie Romero-Severson, Christopher Henry, Lin Zhong, Erik M. Volz, Bluma G. Brenner, and James S. Koopman
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