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Use este identificador para citar ou linkar para este item: https://repositorio.ufba.br/handle/ri/13080
Tipo: Artigo de Periódico
Título: A simulation model for diarrhoea and other common recurrent infections: a tool for exploring epidemiological methods
Título(s) alternativo(s): Epidemiology and Infection
Autor(es): Schmidt, Wolf Peter
Genser, B.
Chalabi, Zaid
Autor(es): Schmidt, Wolf Peter
Genser, B.
Chalabi, Zaid
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.
Palavras-chave: Diarrhoea
Mathematical model
Respiratory infection
Statistical methods
Surveillance
URI: http://www.repositorio.ufba.br/ri/handle/ri/13080
Data do documento: 2009
Aparece nas coleções:Artigo Publicado em Periódico Estrangeiro (ISC)

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