Transmission of severe acute respiratory syndrome in dynamical small-world networks

Naoki Masuda*, Norio Konno, Kazuyuki Aihara

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

45 Citations (Scopus)

Abstract

A dynamic network model for severe acute respiratory syndrome (SARS) epidemics was proposed. It was shown that the combined effects of superspreaders and their possible tendencies to haunt potential contagious places can amplify the spreads. The different dynamical consequences were contrasted according to different types of underlying network structure. The results also indicated that SARS propagated in small-world networks associated with human contacts. The biological nature of individuals and social group properties were found to be important factors that influenced the heterogeneous rates of social contacts among individuals.

Original languageEnglish
Article number031917
Pages (from-to)031917-1-031917-6
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume69
Issue number3 1
DOIs
Publication statusPublished - 2004 Mar
Externally publishedYes

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

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