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Bridging Vital Signs And Social Interactions For Resource-Constrained Epidemic Control

Author

Listed:
  • ZHAOYANG ZHANG

    (Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, North Dartmouth, MA 02747, USA)

  • HONGGANG WANG

    (Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, North Dartmouth, MA 02747, USA)

  • KEN C. K. LEE

    (Department of Computer and Information Science, University of Massachusetts, Dartmouth, North Dartmouth, MA 02747, USA)

  • HUA FANG

    (Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA 01655, USA)

Abstract

This paper proposes a new approach that uses people's social interaction behavior collected by mobile phones and vital signs collected by wireless body area networks (WBAN) for epidemic control. By this approach, infectious people who are socially active can be quickly identified to be quarantined. To realize this approach, we introduce a notion of critical network and critical node identification algorithm. Observing some resource constraints such as quarantine cost and hardware limitation, we focus on optimizing the proposed approach such that high epidemic control effectiveness is achieved while the corresponding overhead is minimized. Our simulation results demonstrate that our approach can effectively control the spread of epidemic diseases in various situations.

Suggested Citation

  • Zhaoyang Zhang & Honggang Wang & Ken C. K. Lee & Hua Fang, 2013. "Bridging Vital Signs And Social Interactions For Resource-Constrained Epidemic Control," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 469-489.
    • Handle: RePEc:wsi:ijitdm:v:12:y:2013:i:03:n:s0219622013500181
    DOI: 10.1142/S0219622013500181
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