PopMod: a longitudinal population model with two interacting disease states.
Open Access
- 26 February 2003
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1 (1) , 6
- https://doi.org/10.1186/1478-7547-1-6
Abstract
This article provides a description of the population model PopMod, which is designed to simulate the health and mortality experience of an arbitrary population subjected to two interacting disease conditions as well as all other "background" causes of death and disability. Among population models with a longitudinal dimension, PopMod is unique in modelling two interacting disease conditions; among the life-table family of population models, PopMod is unique in not assuming statistical independence of the diseases of interest, as well as in modelling age and time independently. Like other multi-state models, however, PopMod takes account of "competing risk" among diseases and causes of death.PopMod represents a new level of complexity among both generic population models and the family of multi-state life tables. While one of its intended uses is to describe the time evolution of population health for standard demographic purposes (e.g. estimates of healthy life expectancy), another prominent aim is to provide a standard measure of effectiveness for intervention and cost-effectiveness analysis. PopMod, and a set of related standard approaches to disease modelling and cost-effectiveness analysis, will facilitate disease modelling and cost-effectiveness analysis in diverse settings and help make results more comparable.This publication has 8 references indexed in Scilit:
- The use of models in the estimation of disease epidemiology.2002
- Computer-assisted health impact assessment for intersectoral health policyHealth Policy, 2001
- An Indirect Estimate of the Incidence of Non-Insulin-Dependent Diabetes MellitusEpidemiology, 2000
- Models: instruments for evidence based policyJournal of Epidemiology and Community Health, 1999
- How good is the Prevent model for estimating the health benefits of prevention?Journal of Epidemiology and Community Health, 1999
- Coping with multiple morbidity in a life tableMathematical Population Studies, 1998
- [Prediction of ischemic heart disease mortality in Denmark 1982-1991 using the simulation model Prevent].1996
- Quantifying disability: data, methods and results.1994