Volume 37 - Article 48 | Pages 1549–1610

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

By Jessica Godwin, Adrian E. Raftery

Print this page  Facebook  Twitter

 

 
Date received:26 Aug 2016
Date published:23 Nov 2017
Word count:3839
Keywords:antiretroviral therapy, Bayesian hierarchical model, HIV/AIDS, probabilistic population projections
DOI:10.4054/DemRes.2017.37.48
 

Abstract

Background: While probabilistic projection methods for projecting life expectancy exist, few account for covariates related to life expectancy. Generalized HIV/AIDS epidemics have a large, immediate negative impact on the life expectancy in a country, but this impact can be mitigated by widespread use of antiretroviral therapy (ART). Thus, projection methods for countries with generalized HIV/AIDS epidemics could be improved by accounting for HIV prevalence, the future course of the epidemic, and ART coverage.

Methods: We extend the current Bayesian probabilistic life expectancy projection methods of Raftery et al. (2013) to account for HIV prevalence and adult ART coverage in countries with generalized HIV/AIDS epidemics.

Results: We evaluate our method using out-of-sample validation. We find that the proposed method performs better than the method that does not account for HIV prevalence or ART coverage for projections of life expectancy in countries with a generalized epidemic, while projections for countries without an epidemic remain essentially unchanged.

Conclusions: In general, our projections show rapid recovery to pre-epidemic life expectancy levels in the presence of widespread ART coverage. After the initial life expectancy recovery, we project a steady rise in life expectancy until the end of the century.

Contribution: We develop a simple Bayesian hierarchical model for long-term projections of life expectancy while accounting for HIV/AIDS prevalence and coverage of ART. The method produces well-calibrated projections for countries with generalized HIV/AIDS epidemics up to 2100 while having limited data demands.

Author's Affiliation

Jessica Godwin - University of Washington, United States of America [Email]
Adrian E. Raftery - University of Washington, United States of America [Email]

Other articles by the same author/authors in Demographic Research

» Regional probabilistic fertility forecasting by modeling between-country correlations
Volume 30 - Article 35

» Joint probabilistic projection of female and male life expectancy
Volume 30 - Article 27

» Estimating trends in the total fertility rate with uncertainty using imperfect data: Examples from West Africa
Volume 26 - Article 15

Most recent similar articles in Demographic Research

» The population-level impact of public-sector antiretroviral therapy rollout on adult mortality in rural Malawi
Volume 36 - Article 37    | Keywords: antiretroviral therapy, HIV/AIDS

» Global estimation of neonatal mortality using a Bayesian hierarchical splines regression model
Volume 38 - Article 15    | Keywords: Bayesian hierarchical model

» Physical attractiveness and women’s HIV risk in rural Malawi
Volume 37 - Article 10    | Keywords: HIV/AIDS

» Sexual networks, partnership mixing, and the female-to-male ratio of HIV infections in generalized epidemics: An agent-based simulation study
Volume 33 - Article 15    | Keywords: HIV/AIDS

» Joint probabilistic projection of female and male life expectancy
Volume 30 - Article 27    | Keywords: Bayesian hierarchical model