Literature DB >> 7822888

Balancing sexual partnerships in an age and activity stratified model of HIV transmission in heterosexual populations.

G P Garnett1, R M Anderson.   

Abstract

A mathematical model of the transmission dynamics of HIV-1 in a heterosexual population stratified by age, sex, and sexual activity (defined by rates of sexual partner acquisition) is presented. The model represents an extension of previous studies with a special focus on patterns of mixing or contact between sexual activity and different age classes of the two sexes. A range of mixing patterns between these groups is specified for both sexes. Mixing is described on two scales from fully assortative to fully disassortative, with random defined either according to numbers of sexual partnerships or numbers of people. The sexual partnerships in the model are balanced by changes in the rates of sexual partner acquisition between particular groups and a range of changes, from only women changing behaviour to only men changing behaviour, are analysed. The pattern of mixing is most influential in determining the shape and magnitude of the epidemic, but the manner in which people choose partners (i.e. dependent on numbers or proportions in the population) is also important. The relative importance of variation in transmission probabilities and mean rates of partner change on the course of the HIV epidemic is also illustrated. The analysis of the sensitivity of predictions to changing parameters in the force of infection term of the model provides a theoretical basis from which the influence of control strategies and the demographic effects of HIV can be analysed.

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Year:  1994        PMID: 7822888     DOI: 10.1093/imammb/11.3.161

Source DB:  PubMed          Journal:  IMA J Math Appl Med Biol        ISSN: 0265-0746


  28 in total

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3.  Biological and demographic causes of high HIV and sexually transmitted disease prevalence in men who have sex with men.

Authors:  Steven M Goodreau; Matthew R Golden
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4.  Modelling challenges in context: lessons from malaria, HIV, and tuberculosis.

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5.  Investigating ethnic inequalities in the incidence of sexually transmitted infections: mathematical modelling study.

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Journal:  Sex Transm Infect       Date:  2004-10       Impact factor: 3.519

Review 6.  Improving Control of Antibiotic-Resistant Gonorrhea by Integrating Research Agendas Across Disciplines: Key Questions Arising From Mathematical Modeling.

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7.  Why the proportion of transmission during early-stage HIV infection does not predict the long-term impact of treatment on HIV incidence.

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Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-13       Impact factor: 11.205

8.  Role of widows in the heterosexual transmission of HIV in Manicaland, Zimbabwe, 1998-2003.

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Journal:  Sex Transm Infect       Date:  2009-04       Impact factor: 3.519

9.  Evaluating distributional regression strategies for modelling self-reported sexual age-mixing.

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10.  Analytic Characterization of the Herpes Simplex Virus Type 2 Epidemic in the United States, 1950-2050.

Authors:  Houssein H Ayoub; Ibtihel Amara; Susanne F Awad; Ryosuke Omori; Hiam Chemaitelly; Laith J Abu-Raddad
Journal:  Open Forum Infect Dis       Date:  2021-04-29       Impact factor: 3.835

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