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HIV and population dynamics

A general model and maximum-likelihood standards for East Africa

Bibliographic Data

ID10969293
AuthorsPatrick Heuveline (0000-0001-9503-901X, Population Research Center, NORC, and The University of Chicago, 1155 East 60th Street, Chicago, IL 60637, corresponding author)
Year2003
Volume40
Issue2
Pages217-245
Publication date2003-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueDemography (JOURNAL)
Journal identifiersISSN: 0070-3370 • E-ISSN: 1533-7790
PublisherDuke University Press (PUBLISHER • US)
DOI10.1353/dem.2003.0013
PMID12846130
OpenAlexW2020350629
LanguageEN
Citations received12
References cited47

In high-prevalence populations, the HIV epidemic undermines the validity of past empirical models and related demographic techniques. A parsimonious model of HIV and population dynamics is presented here and fit to 46,000 observations, gathered from 11 East African populations. The fitted model simulates HIV and population dynamics with standard demographic inputs and only two additional parameters for the onset and scale of the epidemic. The underestimation of the general prevalence of HIV in samples of pregnant women and the fertility impact of HIV are examples of the dynamic interactions that demographic models must reproduce and are shown here to increase over time even with constant prevalence levels. As a result, the impact of HIV on population growth appears to have been underestimated by current population projections that ignore this dynamic

Fertility · Geography · Human immunodeficiency virus (HIV · Population · Population growth · Sociology · Adolescent Sexual and Reproductive Health · Demography · HIV/AIDS Impact and Responses · HIV/AIDS Research and Interventions · Medicine · Virology

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Unique citing works12
Citations per year0,52
Citation span2003 - 2019 (17)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 12
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