Addressing population heterogeneity and distribution in epidemics models using a cellular automata approach

BACKGROUND: The spread of an infectious disease is determined by biological and social factors. Models based on cellular automata are adequate to describe such natural systems consisting of a massive collection of simple interacting objects. They characterize the time evolution of the global system...

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Detalles Bibliográficos
Autores principales: López, Leonardo, Burguerner, Germán, Giovanini, Leonardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022236/
https://www.ncbi.nlm.nih.gov/pubmed/24725804
http://dx.doi.org/10.1186/1756-0500-7-234

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022236/
https://www.ncbi.nlm.nih.gov/pubmed/24725804
http://dx.doi.org/10.1186/1756-0500-7-234

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