A Novel Small-World Model: Using Social Mirror Identities for Epidemic Simulations

Chung Yuan Huang, Chuen Tsai Sun, ji Lung Hsieh, yi Ming Arthur Chen, Holin Lin

研究成果: 雜誌貢獻期刊論文同行評審

35 引文 斯高帕斯(Scopus)

摘要

The authors propose a small-world network model that combines cellular automata with the social mirror identities of daily-contact networks for purposes of performing epidemiological simulations. The social mirror identity concept was established to integrate human long-distance movement and daily visits to fixed locations. After showing that the model is capable of displaying such small-world effects as low degree of separation and relatively high degree of clustering on a societal level, the authors offer proof of its ability to display R 0 properties—considered central to all epidemiological studies. To test their model, they simulated the 2003 severe acute respiratory syndrome (SARS) outbreak.

原文英語
頁(從 - 到)671-699
頁數29
期刊Simulation
81
發行號10
DOIs
出版狀態已發佈 - 2005 十月

ASJC Scopus subject areas

  • 軟體
  • 建模與模擬
  • 電腦繪圖與電腦輔助設計

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