Literature DB >> 31392508

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

Aili Wang1, Yanni Xiao2, Robert Smith3.   

Abstract

A non-smooth epidemic model with piecewise incidence rate dependent on the derivative of the case number is proposed for the transmission dynamics of an infectious disease with media coverage, enhanced vaccination and treatment policy. This is an implicitly defined system, which is converted into an explicit system with three thresholds by employing the properties of the Lambert W function. We first analyze the dynamics of the proposed model for the limiting case, which induces two non-smooth but continuous models. The dynamic analysis of the model demonstrates that either one of the two generalized equilibria or the pseudo-equilibrium is globally asymptotically stable if the disease does not die out. This suggests that the case number can be contained either at an a priori level or at a high/low level, depending on the threshold, which governs whether the enhanced vaccination and treatment policies are implemented. Media coverage cannot help eradicate the disease, but it significantly delays the epidemic peak and lowers the peak case number. Hence, a good threshold policy and continuously updating the awareness of case numbers are required to combat the disease successfully.

Entities:  

Keywords:  Global dynamics; Media coverage; Multiple thresholds; Non-smooth model; Sliding dynamics

Year:  2019        PMID: 31392508     DOI: 10.1007/s12064-019-00297-z

Source DB:  PubMed          Journal:  Theory Biosci        ISSN: 1431-7613            Impact factor:   1.919


  23 in total

1.  Meta-analysis of the relationship between risk perception and health behavior: the example of vaccination.

Authors:  Noel T Brewer; Gretchen B Chapman; Frederick X Gibbons; Meg Gerrard; Kevin D McCaul; Neil D Weinstein
Journal:  Health Psychol       Date:  2007-03       Impact factor: 4.267

2.  Backward bifurcation of an epidemic model with treatment.

Authors:  Wendi Wang
Journal:  Math Biosci       Date:  2006-02-08       Impact factor: 2.144

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

Authors:  Can Chen; Nyuk Sian Chong; Robert Smith
Journal:  Math Biosci       Date:  2017-12-19       Impact factor: 2.144

4.  Modeling the control of infectious diseases: Effects of TV and social media advertisements.

Authors:  Arvind Kumar Misra; Rajanish Kumar Rai; Yasuhiro Takeuchi
Journal:  Math Biosci Eng       Date:  2018-12-01       Impact factor: 2.080

5.  Dynamics of an infectious diseases with media/psychology induced non-smooth incidence.

Authors:  Yanni Xiao; Tingting Zhao; Sanyi Tang
Journal:  Math Biosci Eng       Date:  2013-04       Impact factor: 2.080

6.  Global hopf bifurcation of a delayed equation describing the lag effect of media impact on the spread of infectious disease.

Authors:  Pengfei Song; Yanni Xiao
Journal:  J Math Biol       Date:  2017-08-29       Impact factor: 2.259

7.  Sliding mode control of outbreaks of emerging infectious diseases.

Authors:  Yanni Xiao; Xiaxia Xu; Sanyi Tang
Journal:  Bull Math Biol       Date:  2012-07-27       Impact factor: 1.758

8.  The impact of media coverage on the transmission dynamics of human influenza.

Authors:  Jean M Tchuenche; Nothabo Dube; Claver P Bhunu; Robert J Smith; Chris T Bauch
Journal:  BMC Public Health       Date:  2011-02-25       Impact factor: 3.295

9.  Effect of media-induced social distancing on disease transmission in a two patch setting.

Authors:  Chengjun Sun; Wei Yang; Julien Arino; Kamran Khan
Journal:  Math Biosci       Date:  2011-02-04       Impact factor: 2.144

10.  Resource control of epidemic spreading through a multilayer network.

Authors:  Jian Jiang; Tianshou Zhou
Journal:  Sci Rep       Date:  2018-01-26       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.