Lexis diagram and illness-death model: simulating populations in chronic disease epidemiology.

ABSTRACT: Chronic diseases impose a tremendous global health problem of the 21st century. Epidemiological and public health models help to gain insight into the distribution and burden of chronic diseases. Moreover, the models may help to plan appropriate interventions against risk factors. To provide accurate results, models often need to take into account three different time-scales: calendar time, age, and duration since the onset of the disease. Incidence and mortality often change with age and calendar time. In many diseases such as, for example, diabetes and dementia, the mortality of the diseased persons additionally depends on the duration of the disease. The aim of this work is to describe an algorithm and a flexible software framework for the simulation of populations moving in an illness-

SUBMITTER: Brinks R 

PROVIDER: S-EPMC4162544 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature