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HIV and population dynamics

A general model and maximum-likelihood standards for East Africa

Datos Bibliográficos

ID10969293
AutoresPatrick Heuveline (0000-0001-9503-901X, Population Research Center, NORC, and The University of Chicago, 1155 East 60th Street, Chicago, IL 60637, autor de correspondencia)
Año2003
Volumen40
Número2
Páginas217-245
Fecha de publicación2003-05-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaDemography (JOURNAL)
Identificadores de la revistaISSN: 0070-3370 • E-ISSN: 1533-7790
EditorialDuke University Press (PUBLISHER • US)
DOI10.1353/dem.2003.0013
PMID12846130
OpenAlexW2020350629
IdiomaEN
Citas recibidas12
Referencias citadas47

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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Obras citantes distintas12
Citas por año0,52
Intervalo de citas2003 - 2019 (17)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 12
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