Cluster-based Epidemic Control Through Smartphone-based Body Area Networks

IEEE Transactions on Parallel and Distributed Systems : a Publication of the IEEE Computer Society
Zhaoyang ZhangHua Fang

Abstract

Increasing population density, closer social contact and interactions make epidemic control difficult. Traditional offline epidemic control methods (e.g., using medical survey or medical records) or model-based approach are not effective due to its inability to gather health data and social contact information simultaneously or impractical statistical assumption about the dynamics of social contact networks, respectively. In addition, it is challenging to find optimal sets of people to be quarantined to contain the spread of epidemics for large populations due to high computational complexity. Unlike these approaches, in this paper, a novel cluster-based epidemic control scheme is proposed based on Smartphone-based body area networks. The proposed scheme divides the populations into multiple clusters based on their physical location and social contact information. The proposed control schemes are applied within the cluster or between clusters. Further, we develop a computational efficient approach called UGP to enable an effective cluster-based quarantine strategy using graph theory for large scale networks (i.e., populations). The effectiveness of the proposed methods is demonstrated through both simulations and experiments on...Continue Reading

References

Sep 21, 2002·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·M E J Newman
Dec 20, 2003·Physical Review Letters·Reuven CohenDaniel Ben-Avraham
May 13, 2009·Science·Christophe FraserUNKNOWN WHO Rapid Pandemic Assessment Collaboration
Oct 2, 2009·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Joel C Miller
Jan 20, 2010·Journal of Theoretical Biology·Fuzhong Nian, Xingyuan Wang
Jan 28, 2010·Mathematical Biosciences·Tom Britton
Apr 14, 2010·PLoS Computational Biology·Marcel Salathé, James H Jones

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Citations

Oct 11, 2016·IEEE Transactions on Emerging Topics in Computing·Zhaoyang ZhangHua Fang
Apr 25, 2017·International Journal of Technology Assessment in Health Care·Sanjay SareenSunil Kumar Gupta
Jan 1, 2018·Journal of Ambient Intelligence and Humanized Computing·Sanjay SareenSunil Kumar Gupta

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