Literature DB >> 29273381

A Filippov model describing the effects of media coverage and quarantine on the spread of human influenza.

Can Chen1, Nyuk Sian Chong2, Robert Smith3.   

Abstract

Mass-media reports on an epidemic or pandemic have the potential to modify human behaviour and affect social attitudes. Here we construct a Filippov model to evaluate the effects of media coverage and quarantine on the transmission dynamics of influenza. We first choose a piecewise smooth incidence rate to represent media reports being triggered once the number of infected individuals exceeds a certain critical level [Formula: see text] . Further, if the number of infected cases increases and exceeds another larger threshold value [Formula: see text] ( [Formula: see text] ), we consider that the incidence rate tends to a saturation level due to the protection measures taken by individuals; meanwhile, we begin to quarantine susceptible individuals when the number of susceptible individuals is larger than a threshold value Sc. Then, for each susceptible threshold value Sc, the global properties of the Filippov model with regard to the existence and stability of all possible equilibria and sliding-mode dynamics are examined, as we vary the infected threshold values [Formula: see text] and [Formula: see text] . We show generically that the Filippov system stabilizes at either the endemic equilibrium of the subsystem or the pseudoequilibrium on the switching surface or the endemic equilibrium [Formula: see text] depending on the choice of the threshold values. The findings suggest that proper combinations of infected and susceptible threshold values can maintain the number of infected individuals either below a certain threshold level or at a previously given level.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Filippov model; Influenza; Media coverage; Quarantine; Sliding mode; Threshold policy

Mesh:

Year:  2017        PMID: 29273381     DOI: 10.1016/j.mbs.2017.12.002

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  1 in total

1.  Dynamics of a non-smooth epidemic model with three thresholds.

Authors:  Aili Wang; Yanni Xiao; Robert Smith
Journal:  Theory Biosci       Date:  2019-08-07       Impact factor: 1.919

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.