Small-World Effect in Epidemics Using Cellular Automata
AbstractThe spread of an infectious disease in a population involves interactions leading to an epidemic outbreak through a network of contacts. Extending on Watts and Strogatz (1998) who showed that short-distance connections create a small-world effect, a model combining short- and long-distance probabilistic and regularly updated contacts helps considering spatial heterogeneity. The method is based on cellular automata. The presence of long-distance connections accelerates the small-world effect, as if the world shrank in proportion of their total number.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Mathematical Population Studies.
Volume (Year): 17 (2010)
Issue (Month): 2 ()
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