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    The effect of awareness on networked SIS epidemics

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    Type
    Conference Paper
    Authors
    Paarporn, Keith cc
    Eksin, Ceyhun
    Weitz, Joshua S.
    Shamma, Jeff S. cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2017-01-05
    Online Publication Date
    2017-01-05
    Print Publication Date
    2016-12
    Permanent link to this record
    http://hdl.handle.net/10754/622909
    
    Metadata
    Show full item record
    Abstract
    We study an SIS epidemic model over an arbitrary fixed network topology where the n agents, or nodes of the network, have partial information about the epidemic state. The agents react by distancing themselves from their neighbors when they believe the epidemic is currently prevalent. An agent's awareness is weighted from three sources of information: the fraction of infected neighbors in their contact network, their social network, and a global broadcast of the fraction of infected nodes in the entire network. The dynamics of the benchmark (no awareness) and awareness models are described by discrete-time 2-state Markov chains. Through a coupling technique, we establish monotonicity properties between the benchmark and awareness models. Particularly, we show that the expectation of any increasing random variable on the space of sample paths, e.g. eradication time or total infections, is lower for the awareness model. In addition, we give a characterization for this difference of expectations in terms of the coupling distribution. In simulations, we evaluate how different sources of information affect the spread of an epidemic.
    Citation
    Paarporn K, Eksin C, Weitz JS, Shamma JS (2016) The effect of awareness on networked SIS epidemics. 2016 IEEE 55th Conference on Decision and Control (CDC). Available: http://dx.doi.org/10.1109/CDC.2016.7798394.
    Sponsors
    This work is supported by ARO grant #W911NF-14-1-0402 (to J.S.W), and supported in part by KAUST.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2016 IEEE 55th Conference on Decision and Control (CDC)
    Conference/Event name
    55th IEEE Conference on Decision and Control, CDC 2016
    DOI
    10.1109/CDC.2016.7798394
    Additional Links
    http://ieeexplore.ieee.org/document/7798394/
    ae974a485f413a2113503eed53cd6c53
    10.1109/CDC.2016.7798394
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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