An evolutionary computing approach for parameter estimation investigation of a model for cholera.
J Biol Dyn
; 9: 147-58, 2015.
Article
em En
| MEDLINE
| ID: mdl-25948150
ABSTRACT
We consider the problem of using time-series data to inform a corresponding deterministic model and introduce the concept of genetic algorithms (GA) as a tool for parameter estimation, providing instructions for an implementation of the method that does not require access to special toolboxes or software. We give as an example a model for cholera, a disease for which there is much mechanistic uncertainty in the literature. We use GA to find parameter sets using available time-series data from the introduction of cholera in Haiti and we discuss the value of comparing multiple parameter sets with similar performances in describing the data.
Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Cólera
Limite:
Humans
Idioma:
En
Revista:
J Biol Dyn
Assunto da revista:
BIOLOGIA
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
Estados Unidos