Literature DB >> 2919241

A model of the spread of HIV infection and the demographic impact of AIDS.

J Bongaarts1.   

Abstract

The objective of the computer simulation model described here is to project, for periods up to one or more decades, the annual incidence and prevalence of HIV infection and AIDS in a population with given epidemiological, behavioural and demorgraphic characteristics. In addition, the epidemic's impact on a range of demographic variables is calculated. The epidemiological components of the model use a compartmental approach and they are described with sets of linear differential equations. The demographic framework in which the epidemiological components are integrated, is based on a standard cohort component method of population projection. The simulated population is stratified by age, gender, sexual behaviour, marital status and infection/disease status. The concluding section provides an illustrative application of the model to a Central African population. In this hypothetical simulation covering the period from 1975 to 2000, HIV prevalence in the adult population rises from 0 to 21 per cent. By the end of the projection period mortality is about double the level that would have prevailed in the absence of the epidemic, but, owing to the very high birth rates that prevail in most of Africa, the growth rate of the population remains substantially positive.

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Year:  1989        PMID: 2919241     DOI: 10.1002/sim.4780080111

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  11 in total

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2.  HIV and population dynamics: a general model and maximum-likelihood standards for east Africa.

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3.  Biography of John Bongaarts.

Authors:  Christen Brownlee
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-03       Impact factor: 11.205

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5.  The pharmacoeconomics of HIV disease.

Authors:  L A Lynn; K A Schulman; J M Eisenberg
Journal:  Pharmacoeconomics       Date:  1992-03       Impact factor: 4.981

6.  Projections of the HIV/AIDS epidemic for homosexual/bisexual men in France, the Federal Republic of Germany and the United Kingdom.

Authors:  M Artzrouni
Journal:  Eur J Epidemiol       Date:  1990-06       Impact factor: 8.082

7.  A new approach to estimating AIDS incubation times: results in homosexual infected men.

Authors:  S Chevret; D Costagliola; J J Lefrere; A J Valleron
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8.  The importance of extended high viremics in models of HIV spread in South Africa.

Authors:  Benjamin Armbruster; Ekkehard C Beck; Mustafa Waheed
Journal:  Health Care Manag Sci       Date:  2013-06-11

Review 9.  Modelling sexual transmission of HIV: testing the assumptions, validating the predictions.

Authors:  Rebecca F Baggaley; Christophe Fraser
Journal:  Curr Opin HIV AIDS       Date:  2010-07       Impact factor: 4.283

10.  Critique of early models of the demographic impact of HIV/AIDS in sub-Saharan Africa based on contemporary empirical data from Zimbabwe.

Authors:  Simon Gregson; Constance Nyamukapa; Ben Lopman; Phyllis Mushati; Geoffrey P Garnett; Stephen K Chandiwana; Roy M Anderson
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-30       Impact factor: 11.205

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