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

12 Apr 2014

Abstract excerpt

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 as the emergent behaviour resulting from the interaction of the objects, whose behaviour is defined through a set of...

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PMID: 24725804
DOI: 10.1186/1756-0500-7-234

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