Literature DB >> 1808235

Sexual contact patterns between men and women and the spread of HIV-1 in urban centres in Africa.

M C Boily1, R M Anderson.   

Abstract

A simple model of the transmission of HIV-1 by heterosexual contact and from mother to unborn infant is developed to assess the influence of patterns of mixing between low and high sexual activity classes of the two sexes on the pattern of spread of the virus and the demographic impact of AIDS. Numerical studies of model behaviour are based, where possible, on parameter estimates derived from epidemiological studies of HIV-1 spread in Africa. Analyses reveal that the assumed pattern of mixing, ranging from assortative (like with like) through random (proportional) to disassortative (like with unlike), has a very major impact on the predicted spread of the virus and the concomitant demographic impact of AIDS. Patterns of strong assortative mixing are predicted to generate the least spread and demographic impact, by comparison with proportional or disassortative mixing. Analyses also reveal that the rules governing behaviour changes, once AIDS-induced mortality changes the structure of the population (i.e. the numbers in the low and high sexual activity classes of the two sexes), have a very significant influence on the course of the epidemic. Where possible, predicted patterns are compared with observed trends in Africa.

Entities:  

Keywords:  Acquired Immunodeficiency Syndrome; Africa; Behavior; Biology; Demographic Factors; Demographic Impact; Developing Countries; Diseases; Estimation Technics; Hiv Infections--transmission; Maternal-fetal Exchange; Mathematical Model; Measurement; Models, Theoretical; Multiple Partners; Population; Population Characteristics; Population Dynamics; Pregnancy; Prevalence; Prostitutes; Reproduction; Research Methodology; Risk Factors; Sex Behavior--men; Sex Behavior--women; Sexual Partners; Urban Population; Viral Diseases

Mesh:

Year:  1991        PMID: 1808235     DOI: 10.1093/imammb/8.4.221

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


  7 in total

1.  Assortativity and Mixing by Sexual Behaviors and Sociodemographic Characteristics in Young Adult Heterosexual Dating Partnerships.

Authors:  Talía Malagón; Ann Burchell; Mariam El-Zein; Pierre-Paul Tellier; François Coutlée; Eduardo L Franco
Journal:  Sex Transm Dis       Date:  2017-06       Impact factor: 2.830

2.  Who mixes with whom? A method to determine the contact patterns of adults that may lead to the spread of airborne infections.

Authors:  W J Edmunds; C J O'Callaghan; D J Nokes
Journal:  Proc Biol Sci       Date:  1997-07-22       Impact factor: 5.349

Review 3.  Partnership dynamics in mathematical models and implications for representation of sexually transmitted infections: a review.

Authors:  Darcy White Rao; Margo M Wheatley; Steven M Goodreau; Eva A Enns
Journal:  Ann Epidemiol       Date:  2021-04-28       Impact factor: 6.996

4.  Disease control of delay SEIR model with nonlinear incidence rate and vertical transmission.

Authors:  Yan Cheng; Qiuhui Pan; Mingfeng He
Journal:  Comput Math Methods Med       Date:  2013-12-12       Impact factor: 2.238

5.  Modeling the impact of interventions along the HIV continuum of care in Newark, New Jersey.

Authors:  Ruthie B Birger; Timothy B Hallett; Anushua Sinha; Bryan T Grenfell; Sally L Hodder
Journal:  Clin Infect Dis       Date:  2013-10-17       Impact factor: 9.079

6.  Who mixes with whom among men who have sex with men? Implications for modelling the HIV epidemic in southern India.

Authors:  K M Mitchell; A M Foss; H J Prudden; Z Mukandavire; M Pickles; J R Williams; H C Johnson; B M Ramesh; R Washington; S Isac; S Rajaram; A E Phillips; J Bradley; M Alary; S Moses; C M Lowndes; C H Watts; M-C Boily; P Vickerman
Journal:  J Theor Biol       Date:  2014-04-13       Impact factor: 2.691

7.  Mathematical Model Impact Analysis of a Real-Life Pre-exposure Prophylaxis and Treatment-As-Prevention Study Among Female Sex Workers in Cotonou, Benin.

Authors:  Lily Geidelberg; Kate M Mitchell; Michel Alary; Aminata Mboup; Luc Béhanzin; Fernand Guédou; Nassirou Geraldo; Ella Goma-Matsétsé; Katia Giguère; Marlène Aza-Gnandji; Léon Kessou; Mamadou Diallo; René K Kêkê; Moussa Bachabi; Kania Dramane; Christian Lafrance; Dissou Affolabi; Souleymane Diabaté; Marie-Pierre Gagnon; Djimon M Zannou; Flore Gangbo; Romain Silhol; Fiona Cianci; Peter Vickerman; Marie-Claude Boily
Journal:  J Acquir Immune Defic Syndr       Date:  2021-02-01       Impact factor: 3.771

  7 in total

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