Small-World Effect in Epidemics Using Cellular Automata
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
|---|---|
| Data(s) |
19/10/2012
19/10/2012
2010
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| Resumo |
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. Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP)[Proc. 02/03564-8] |
| Identificador |
MATHEMATICAL POPULATION STUDIES, v.17, n.2, p.79-90, 2010 0889-8480 http://producao.usp.br/handle/BDPI/24582 10.1080/08898481003689486 |
| Idioma(s) |
eng |
| Publicador |
TAYLOR & FRANCIS INC |
| Relação |
Mathematical Population Studies |
| Direitos |
restrictedAccess Copyright TAYLOR & FRANCIS INC |
| Palavras-Chave | #automata cellular #epidemic spreading #SIR #SIRS #small-world #transmission rules #MODELS #Demography #Mathematics, Interdisciplinary Applications #Social Sciences, Mathematical Methods #Statistics & Probability |
| Tipo |
article original article publishedVersion |