Literature DB >> 19582897

Modelling based on Australian HIV notifications data suggests homosexual age mixing is primarily assortative.

David P Wilson1.   

Abstract

OBJECTIVE: To understand age-specific sexual mixing patterns of men who have sex with men in Australia, for behavioral insight, and to determine which age groups are at greatest risk of acquiring HIV in the future.
METHODS: Diagnoses data based on Australia's HIV surveillance system are analyzed with a mathematical sexual transmission model to estimate the age-mixing patterns of sexual partnerships amongst men who have sex with men. The degree of assortativity and the relative rate of partner acquisition across different age groups are estimated.
RESULTS: Although there are some differences between age groups, sexual mixing is primarily assortative for men of all ages, between completely random partner acquisition and fully assortative mixing, with greatest assortativity among middle-aged men. Men aged 25-34 years were shown to have the greatest level of sexual partner acquisition. There is little evidence to support disassortative mixing on average across the population.
CONCLUSIONS: Although there is a tendency for partners of a similar age to be chosen and the average age of HIV-infected people in Australia is relatively old, suggesting that the epidemic may eventually age out depending on death rates, there seems to be sufficient cross-age mixing and high sexual mixing in younger age groups to sustain the HIV epidemic over the medium to long term.

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Year:  2009        PMID: 19582897

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  5 in total

1.  Age-gaps in sexual partnerships: seeing beyond 'sugar daddies'.

Authors:  Miles Q Ott; Till Bärnighausen; Frank Tanser; Mark N Lurie; Marie-Louise Newell
Journal:  AIDS       Date:  2011-03-27       Impact factor: 4.177

Review 2.  Mathematical models for the study of HIV spread and control amongst men who have sex with men.

Authors:  Narat Punyacharoensin; William John Edmunds; Daniela De Angelis; Richard Guy White
Journal:  Eur J Epidemiol       Date:  2011-09-20       Impact factor: 8.082

Review 3.  An HIV epidemic is ready to emerge in the Philippines.

Authors:  Anna C Farr; David P Wilson
Journal:  J Int AIDS Soc       Date:  2010-04-22       Impact factor: 5.396

4.  Virtual versus physical channel for sex networking in men having sex with men of sauna customers in the City of Hong Kong.

Authors:  Shui-Shan Lee; Agnes N S Lam; Chi-Kei Lee; Ngai-Sze Wong
Journal:  PLoS One       Date:  2012-02-10       Impact factor: 3.240

Review 5.  Inferring the age difference in HIV transmission pairs by applying phylogenetic methods on the HIV transmission network of the Swiss HIV Cohort Study.

Authors:  Katharina Kusejko; Claus Kadelka; Alex Marzel; Manuel Battegay; Enos Bernasconi; Alexandra Calmy; Matthias Cavassini; Matthias Hoffmann; Jürg Böni; Sabine Yerly; Thomas Klimkait; Matthieu Perreau; Andri Rauch; Huldrych F Günthard; Roger D Kouyos
Journal:  Virus Evol       Date:  2018-09-18
  5 in total

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