Projections of health indicators for chronic disease under a semi-Markov assumption
Mathilde Wanneveich,
Jacqmin-Gadda, Hélène,
Dartigues, Jean-François and
Pierre Joly
Theoretical Population Biology, 2018, vol. 119, issue C, 83-90
Abstract:
Chronic diseases are a growing public health problem due to the population aging. Their economic, social and demographic burden will worsen in years to come. Up to now, the method used to provide projections and assess the future disease burden makes a non-homogeneous Markov assumption in an illness–death model. Both age and calendar year have been taken into account in all parameter estimations, but the time spent with the disease was not considered.
Keywords: Multi-states model; semi-Markov; Projection; Dementia; Epidemiology (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040580917301077
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:thpobi:v:119:y:2018:i:c:p:83-90
DOI: 10.1016/j.tpb.2017.11.006
Access Statistics for this article
Theoretical Population Biology is currently edited by Jeremy Van Cleve
More articles in Theoretical Population Biology from Elsevier
Bibliographic data for series maintained by Catherine Liu ().