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HIV and population dynamics: A general model and maximum-likelihood standards for East Africa

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  • Patrick Heuveline

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  • Patrick Heuveline, 2003. "HIV and population dynamics: A general model and maximum-likelihood standards for East Africa," Demography, Springer;Population Association of America (PAA), vol. 40(2), pages 217-245, May.
    • Handle: RePEc:spr:demogr:v:40:y:2003:i:2:p:217-245
    DOI: 10.1353/dem.2003.0013
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    Cited by:

    1. Raouf Boucekkine & Rodolphe Desbordes & Hélène Latzer, 2009. "How do epidemics induce behavioral changes?," Journal of Economic Growth, Springer, vol. 14(3), pages 233-264, September.
    2. Nancy Luke & Shelley Clark & Eliya Zulu, 2011. "The Relationship History Calendar: Improving the Scope and Quality of Data on Youth Sexual Behavior," Demography, Springer;Population Association of America (PAA), vol. 48(3), pages 1151-1176, August.
    3. Iliana Kohler & Hans-Peter Kohler & Philip Anglewicz & Jere Behrman, 2012. "Intergenerational Transfers in the Era of HIV/AIDS: Evidence from Rural Malawi," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 27(27), pages 775-834.
    4. Stephane Helleringer & Hans-Peter Kohler & Agnes Chimbiri & Praise Chatonda & James Mkandawire, 2009. "The Likoma Network Study: Context, data collection and initial results," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 21(15), pages 427-468.
    5. Leigh F. Johnson & Rob Dorrington, 2006. "Modelling the demographic impact of HIV/AIDS in South Africa and the likely impact of interventions," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 14(22), pages 541-574.
    6. Jason Thomas & Samuel J. Clark, 2011. "More on the Cohort-Component Model of Population Projection in the Context of HIV/AIDS: A Leslie Matrix Representation and New Estimates," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(2), pages 39-102.
    7. Samuel J. Clark & Jason Thomas & Le Bao, 2012. "Estimates of Age-Specific Reductions in HIV Prevalence in Uganda: Bayesian Melding Estimation and Probabilistic Population Forecast with an HIV-enabled Cohort Component Projection Model," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 27(26), pages 743-774.

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