Book contents
- Frontmatter
- Contents
- Introduction
- Participants
- Non-Participant Contributors
- Part 1 Transmissible diseases with long development times and vaccination strategies
- Part 2 Dynamics of immunity (development of disease within individuals)
- Part 3 Population heterogeneity (mixing)
- Modeling heterogeneous mixing in infectious disease dynamics
- Behavior change and non-homogeneous mixing
- Sources and use of empirical observations to characterise networks of sexual behaviour
- Invited Discussion
- Invited Discussion
- Per-contact probabilities of heterosexual transmission of HIV, estimated from partner study data
- Heterosexual spread of HIV with biased sexual partner selection
- Dynamic simulation of sexual partner networks: which network properties are important in sexually transmitted disease (STD) epidemiology?
- The spread of an STD on a dynamic network of sexual contacts
- Network measures for epidemiology
- Spatial heterogeneity and the spread of infectious diseases
- Data analysis for estimating risk factor effects using transmission models
- Homosexual role behaviour and the spread of HIV
- Homogeneity tests for groupings of AIDS patient classifications
- Risk factors for heterosexual transmission of HIV
- The effect of behavioural change on the prediction of R0 in the transmission of AIDS
- The saturating contact rate in epidemic models
- A Liapunov function approach to computing R0
- Stochastic models for the eradication of poliomyelitis: minimum population size for polio virus persistence
- Part 4 Consequences of treatment interventions
- Part 5 Prediction
Homosexual role behaviour and the spread of HIV
Published online by Cambridge University Press: 04 August 2010
- Frontmatter
- Contents
- Introduction
- Participants
- Non-Participant Contributors
- Part 1 Transmissible diseases with long development times and vaccination strategies
- Part 2 Dynamics of immunity (development of disease within individuals)
- Part 3 Population heterogeneity (mixing)
- Modeling heterogeneous mixing in infectious disease dynamics
- Behavior change and non-homogeneous mixing
- Sources and use of empirical observations to characterise networks of sexual behaviour
- Invited Discussion
- Invited Discussion
- Per-contact probabilities of heterosexual transmission of HIV, estimated from partner study data
- Heterosexual spread of HIV with biased sexual partner selection
- Dynamic simulation of sexual partner networks: which network properties are important in sexually transmitted disease (STD) epidemiology?
- The spread of an STD on a dynamic network of sexual contacts
- Network measures for epidemiology
- Spatial heterogeneity and the spread of infectious diseases
- Data analysis for estimating risk factor effects using transmission models
- Homosexual role behaviour and the spread of HIV
- Homogeneity tests for groupings of AIDS patient classifications
- Risk factors for heterosexual transmission of HIV
- The effect of behavioural change on the prediction of R0 in the transmission of AIDS
- The saturating contact rate in epidemic models
- A Liapunov function approach to computing R0
- Stochastic models for the eradication of poliomyelitis: minimum population size for polio virus persistence
- Part 4 Consequences of treatment interventions
- Part 5 Prediction
Summary
Introduction
In general, little attention is given to homosexual role behaviour as a factor in the sexual transmission of HIV. Models that include variations in sexual behaviour are usually restricted to heterogeneity in sexual partner-change and the manner in which subpopulations mix. Following Trichopoulos et al (1988), Wiley and Herschkorn (1989), van Griensven et al. (1990), we lay emphasis on homosexual role behaviour (role separation) as a factor influencing the spread of HIV in homosexual populations. If there are large differences between the risks of receptive and insertive anal intercourse, with the latter carrying only minimal risk, then one may expect that changes in role behaviour distributions influence the spread of HIV. As pointed out by Trichopoulos et al. (1988), role separation is expected to reduce the spread of HIV since those who are practicing insertive intercourse would be at low risk and those practicing receptive intercourse would not be at very high risk because of the low prevalence of HIV among their sexual partners.
Based on this conjecture Wiley and Herschkorn (1989) constructed a theoretical model for exploring the effect of differentiation of roles in anal intercourse on the size of AIDS epidemics in homosexual populations. Under the assumption of no risk associated with insertive anal intercourse it was shown that epidemic intensity increases with increasing size of the dual-role (both insertive and receptive) subpopulation. Their paper, however, was not concerned with the analysis of specific data. Recently van Griensven et al. (1990) and van Zessen and van Griensven (1992) provided empirical evidence, using data from the first two cycles of the Amsterdam cohort, that homosexual role behaviour is a factor in the spread of HIV.
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- Models for Infectious Human DiseasesTheir Structure and Relation to Data, pp. 292 - 296Publisher: Cambridge University PressPrint publication year: 1996