Volume 29 - Article 39 | Pages 1039-1096 Author has provided data and code for replicating results

The age pattern of increases in mortality affected by HIV: Bayesian fit of the Heligman-Pollard Model to data from the Agincourt HDSS field site in rural northeast South Africa

By David Sharrow, Jane Menken, Mark Collinson, Kathleen Kahn, Stephen Tollman

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Date received:22 Apr 2012
Date published:03 Dec 2013
Word count:8000
Keywords:AIDS/HIV, Bayesian inference, life expectancy, South Africa
Additional files:readme.29-39 (text file, 802 Byte)
 demographic-research.29-39 (zip file, 19 kB)


Background: We investigate the sex-age-specific changes in the mortality of a prospectively monitored rural population in South Africa. We quantify changes in the age pattern of mortality efficiently by estimating the eight parameters of the Heligman-Pollard (HP) model of age-specific mortality. In its traditional form this model is difficult to fit and does not account for uncertainty.

Objective: (1) To quantify changes in the sex-age pattern of mortality experienced by a population with endemic HIV. 2. To develop and demonstrate a robust Bayesian estimation method for the HP model that accounts for uncertainty.

Methods: Bayesian estimation methods are adapted to work with the HP model. Temporal changes in parameter values are related to changes in HIV prevalence.

Results: Over the period when the HIV epidemic in South Africa was growing, mortality in the population described by our data increased profoundly with losses of life expectancy of ~15 years for both males and females. The temporal changes in the HP parameters reflect in a parsimonious way the changes in the age pattern of mortality. We develop a robust Bayesian method to estimate the eight parameters of the HP model and thoroughly demonstrate it.

Conclusions: Changes in mortality in South Africa over the past fifteen years have been profound. The HP model can be fit well using Bayesian methods, and the results can be useful in developing a parsimonious description of changes in the age pattern of mortality.

Comments: The motivating aim of this work is to develop new methods that can be useful in applying the HP eight-parameter model of age-specific mortality. We have done this and chosen an interesting application to demonstrate the new methods.

Author's Affiliation

David Sharrow - University of Washington, United States of America [Email]
Jane Menken - University of Washington, United States of America [Email]
Mark Collinson - University of the Witwatersrand, South Africa [Email]
Kathleen Kahn - University of the Witwatersrand, South Africa [Email]
Stephen Tollman - University of the Witwatersrand, South Africa [Email]

Other articles by the same author/authors in Demographic Research

» Human capital on the move: Education as a determinant of internal migration in selected INDEPTH surveillance populations in Africa
Volume 34 - Article 30

» Male and female sterility in Zambia
Volume 30 - Article 14

» 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
Volume 27 - Article 26

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

» More on the Cohort-Component Model of Population Projection in the Context of HIV/AIDS: A Leslie Matrix Representation and New Estimates
Volume 25 - Article 2

» The implications of long term community involvement for the production and circulation of population knowledge
Volume 17 - Article 13

» A general temporal data model and the structured population event history register
Volume 15 - Article 7

» Toward a Unified Timestamp with explicit precision
Volume 12 - Article 6

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