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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Small-World Effect in Epidemics Using Cellular Automata

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Author(s):
Gagliardi, Henrique Fabricio [1] ; Alves, Domingos [2]
Total Authors: 2
Affiliation:
[1] Fac COC, Lab Inovacao Computacao & Engn LINCE, BR-14096 Ribeirao Preto, SP - Brazil
[2] Univ Sao Paulo, Dept Med Sociol, Fac Med Ribeirao Preto, BR-05508 Sao Paulo - Brazil
Total Affiliations: 2
Document type: Journal article
Source: MATHEMATICAL POPULATION STUDIES; v. 17, n. 2, p. 79-90, 2010.
Web of Science Citations: 5
Abstract

The 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. (AU)