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Model hierarchies in edge-based compartmental modeling for infectious disease spread.
Miller, Joel C; Volz, Erik M.
Afiliação
  • Miller JC; Departments of Mathematics and Biology, Penn State University, University Park, USA, joel.c.miller.research@gmail.com.
J Math Biol ; 67(4): 869-99, 2013 Oct.
Article em En | MEDLINE | ID: mdl-22911242
We consider the family of edge-based compartmental models for epidemic spread developed in Miller et al. (J R Soc Interface 9(70):890-906, 2012). These models allow for a range of complex behaviors, and in particular allow us to explicitly incorporate duration of a contact into our mathematical models. Our focus here is to identify conditions under which simpler models may be substituted for more detailed models, and in so doing we define a hierarchy of epidemic models. In particular we provide conditions under which it is appropriate to use the standard mass action SIR model, and we show what happens when these conditions fail. Using our hierarchy, we provide a procedure leading to the choice of the appropriate model for a given population. Our result about the convergence of models to the mass action model gives clear, rigorous conditions under which the mass action model is accurate.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Métodos Epidemiológicos / Doenças Transmissíveis / Modelos Estatísticos / Epidemias Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: J Math Biol Ano de publicação: 2013 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Métodos Epidemiológicos / Doenças Transmissíveis / Modelos Estatísticos / Epidemias Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: J Math Biol Ano de publicação: 2013 Tipo de documento: Article