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

Naoki Masuda*, Norio Konno, Kazuyuki Aihara

*この研究の対応する著者

研究成果査読

43 被引用数 (Scopus)

抄録

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.

本文言語English
論文番号031917
ページ(範囲)031917-1-031917-6
ジャーナルPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
69
3 1
DOI
出版ステータスPublished - 2004 3
外部発表はい

ASJC Scopus subject areas

  • 統計物理学および非線形物理学
  • 統計学および確率
  • 凝縮系物理学

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