Literature DB >> 29256327

Probabilistic population projections for countries with generalized HIV/AIDS epidemics.

David J Sharrow1, Jessica Godwin1, Yanjun He1, Samuel J Clark1,2, Adrian E Raftery1.   

Abstract

In 2015, the United Nations (UN) issued probabilistic population projections for all countries up to 2100, by simulating future levels of total fertility and life expectancy and combining the results using a standard cohort component projection method. For the 40 countries with generalized HIV/AIDS epidemics, the mortality projections used the Spectrum/Estimation and Projection Package (EPP) model, a complex, multistate model designed for short-term projections of policy-relevant quantities for the epidemic. We propose a simpler approach that is more compatible with existing UN projection methods for other countries. Changes in life expectancy are projected probabilistically using a simple time series regression and then converted to age- and sex-specific mortality rates using model life tables designed for countries with HIV/AIDS epidemics. These are then input to the cohort component method, as for other countries. The method performed well in an out-of-sample cross-validation experiment. It gives similar short-run projections to Spectrum/EPP, while being simpler and avoiding multistate modelling.

Entities:  

Keywords:  Bayesian hierarchical model; Estimation and Projection Package; Spectrum; UNAIDS; World Population Prospects; cohort component projection method

Mesh:

Year:  2017        PMID: 29256327      PMCID: PMC5921864          DOI: 10.1080/00324728.2017.1401654

Source DB:  PubMed          Journal:  Popul Stud (Camb)        ISSN: 0032-4728


  27 in total

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Review 4.  The global impact of HIV/AIDS.

Authors:  P Piot; M Bartos; P D Ghys; N Walker; B Schwartländer
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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-09-27       Impact factor: 6.237

9.  Modeling age-specific mortality for countries with generalized HIV epidemics.

Authors:  David J Sharrow; Samuel J Clark; Adrian E Raftery
Journal:  PLoS One       Date:  2014-05-22       Impact factor: 3.240

10.  Mortality trends in the era of antiretroviral therapy: evidence from the Network for Analysing Longitudinal Population based HIV/AIDS data on Africa (ALPHA).

Authors:  Georges Reniers; Emma Slaymaker; Jessica Nakiyingi-Miiro; Constance Nyamukapa; Amelia Catharine Crampin; Kobus Herbst; Mark Urassa; Fred Otieno; Simon Gregson; Maquins Sewe; Denna Michael; Tom Lutalo; Victoria Hosegood; Ivan Kasamba; Alison Price; Dorean Nabukalu; Estelle Mclean; Basia Zaba
Journal:  AIDS       Date:  2014-11       Impact factor: 4.177

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  1 in total

1.  Bayesian projection of life expectancy accounting for the HIV/AIDS epidemic.

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