Small-World Effect in Epidemics Using Cellular Automata

Autor(es)

Gagliardi, Henrique Fabricio ^[1] ; Alves, Domingos ^[2]

Afiliação do(s) autor(es)

^[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

• Tipo de documento: Artigo Científico
• Fonte: MATHEMATICAL POPULATION STUDIES; v. 17, n. 2, p. 79-90, 2010.
• Citações Web of Science: 5

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. (AU)

• Processo FAPESP: 02/03564-8 - Modelagem teórica e computacional em epidemiologia de doenças infecciosas e estratégias de controle farmacológico
• Beneficiário: Domingos Alves
• Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores