Literature DB >> 30788689

Analysis of an Epidemic System with Two Response Delays in Media Impact Function.

Pengfei Song1, Yanni Xiao2.   

Abstract

A functional differential model of SEIS-M type with two time delays, representing the response time for mass media to cover the current infection and for individuals' behavior changes to media coverage, was proposed to examine the delayed media impact on the transmission dynamics of emergent infectious diseases. The threshold dynamics were established in terms of the basic reproduction number [Formula: see text]. When there are no time delays, we showed that if the media impact is low, the endemic equilibrium is globally asymptotically stable for [Formula: see text], while the endemic equilibrium may become unstable and Hopf bifurcation occurs for some appropriate conditions by taking the level of media impact as bifurcation parameter. With two time delays, we comprehensively investigated the local and global bifurcation by considering the summation of delays as a bifurcation parameter, and theoretically and numerically examined the onset and termination of Hopf bifurcations from the endemic equilibrium. Main results show that either the media described feedback cycle, from infection to the level of mass media and back to disease incidence, or time delays can induce Hopf bifurcation and result in periodic oscillations. The findings indicate that the delayed media impact leads to a richer dynamics that may significantly affect the disease infections.

Entities:  

Keywords:  Functional differential model; Global Hopf bifurcation; Media impact; Time delays

Mesh:

Year:  2019        PMID: 30788689     DOI: 10.1007/s11538-019-00586-0

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  3 in total

1.  Analysis of a diffusive epidemic system with spatial heterogeneity and lag effect of media impact.

Authors:  Pengfei Song; Yanni Xiao
Journal:  J Math Biol       Date:  2022-08-01       Impact factor: 2.164

Review 2.  FOMO (fate of online media only) in infectious disease modeling: a review of compartmental models.

Authors:  Joanna Sooknanan; Terence A R Seemungal
Journal:  Int J Dyn Control       Date:  2022-07-13

3.  Complex dynamics of an epidemic model with saturated media coverage and recovery.

Authors:  Tangjuan Li; Yanni Xiao
Journal:  Nonlinear Dyn       Date:  2022-01-16       Impact factor: 5.741

  3 in total

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