A simulation model for diarrhoea and other common recurrent infections: a tool for exploring epidemiological methods.


Schmidt, WP; Genser, B; Chalabi, Z; (2008) A simulation model for diarrhoea and other common recurrent infections: a tool for exploring epidemiological methods. Epidemiology and infection, 137 (5). pp. 644-53. ISSN 0950-2688 DOI: 10.1017/S095026880800143X

[img]
Preview
Text - Published Version
License:

Download (193kB) | Preview

Abstract

The measurement and analysis of common recurrent conditions such as diarrhoea, respiratory infections or fever pose methodological challenges with regard to case definition, disease surveillance and statistical analysis. In this paper we describe a flexible and robust model that can generate simulated longitudinal datasets for a range of recurrent infections, reflecting the stochastic processes that underpin the data collected in the field. It can be used to evaluate and compare alternative disease definitions, surveillance strategies and statistical methods under 'controlled conditions'. Parameters in the model include: characterizing the distributions of the individual disease incidence and the duration of disease episodes; allowing the average disease duration to depend on an individual's number of episodes (simulating a correlation between incidence and duration); making the individual risk of disease depend on the occurrence of previous episodes (simulating autocorrelation of successive episodes); finally, incorporating seasonal variation of disease.

Item Type: Article
Faculty and Department: Faculty of Public Health and Policy > Dept of Social and Environmental Health Research
Faculty of Infectious and Tropical Diseases > Dept of Disease Control
PubMed ID: 18840321
Web of Science ID: 265369600005
URI: http://researchonline.lshtm.ac.uk/id/eprint/6910

Statistics


Download activity - last 12 months
Downloads since deposit
212Downloads
279Hits
Accesses by country - last 12 months
Accesses by referrer - last 12 months
Impact and interest
Additional statistics for this record are available via IRStats2

Actions (login required)

Edit Item Edit Item