Awareness design and analysis upon two infectious states based on susceptible-exposed-infected-vigilant (SEIV) model

Zhixun Li, Jie Hong, Changbin Yu, Zhiyong Sun

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)

    Abstract

    In this paper, the interaction between human awareness design and epidemic dynamics over arbitrary directed networks has been studied. People gain awareness and fear of the disease from three information sources and a novel awareness design upon two infectious states is proposed to reduce the susceptibility of individuals, which in turn could affect the threshold and outbreak of the epidemic spreading system. The novel awareness response design is applied to a continuous mean-field SEIV model to illustrate the effectiveness of the system. The system global exponential stability analysis and epidemic threshold embedded with human awareness are proposed in this paper. Simulation studies are carried out to verify the effectiveness of two human awareness which can increase the epidemic threshold, reduce the epidemic breakout scale and inhibit disease transmission.

    Original languageEnglish
    Title of host publication2017 Asian Control Conference, ASCC 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages2334-2339
    Number of pages6
    ISBN (Electronic)9781509015733
    DOIs
    Publication statusPublished - 7 Feb 2018
    Event2017 11th Asian Control Conference, ASCC 2017 - Gold Coast, Australia
    Duration: 17 Dec 201720 Dec 2017

    Publication series

    Name2017 Asian Control Conference, ASCC 2017
    Volume2018-January

    Conference

    Conference2017 11th Asian Control Conference, ASCC 2017
    Country/TerritoryAustralia
    CityGold Coast
    Period17/12/1720/12/17

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