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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2014
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| 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 |