Small-World Effect in Epidemics Using Cellular Automata


Autoria(s): GAGLIARDI, Henrique Fabricio; ALVES, Domingos
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

19/10/2012

19/10/2012

2010

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

http://dx.doi.org/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