Literature DB >> 22836868

Sliding mode control of outbreaks of emerging infectious diseases.

Yanni Xiao1, Xiaxia Xu, Sanyi Tang.   

Abstract

This paper proposes and analyzes a mathematical model of an infectious disease system with a piecewise control function concerning threshold policy for disease management strategy. The proposed models extend the classic models by including a piecewise incidence rate to represent control or precautionary measures being triggered once the number of infected individuals exceeds a threshold level. The long-term behaviour of the proposed non-smooth system under this strategy consists of the so-called sliding motion-a very rapid switching between application and interruption of the control action. Model solutions ultimately approach either one of two endemic states for two structures or the sliding equilibrium on the switching surface, depending on the threshold level. Our findings suggest that proper combinations of threshold densities and control intensities based on threshold policy can either preclude outbreaks or lead the number of infected to a previously chosen level.

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Year:  2012        PMID: 22836868     DOI: 10.1007/s11538-012-9758-5

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


  11 in total

1.  An avian-only Filippov model incorporating culling of both susceptible and infected birds in combating avian influenza.

Authors:  Nyuk Sian Chong; Benoit Dionne; Robert Smith
Journal:  J Math Biol       Date:  2016-02-10       Impact factor: 2.259

2.  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

3.  Using non-smooth models to determine thresholds for microbial pest management.

Authors:  Aili Wang; Yanni Xiao; Robert Smith
Journal:  J Math Biol       Date:  2019-01-31       Impact factor: 2.259

4.  Dynamics and control of COVID-19 pandemic with nonlinear incidence rates.

Authors:  G Rohith; K B Devika
Journal:  Nonlinear Dyn       Date:  2020-06-25       Impact factor: 5.022

5.  Media impact switching surface during an infectious disease outbreak.

Authors:  Yanni Xiao; Sanyi Tang; Jianhong Wu
Journal:  Sci Rep       Date:  2015-01-16       Impact factor: 4.379

Review 6.  Behavioural change models for infectious disease transmission: a systematic review (2010-2015).

Authors:  Frederik Verelst; Lander Willem; Philippe Beutels
Journal:  J R Soc Interface       Date:  2016-12       Impact factor: 4.118

7.  Potentials of constrained sliding mode control as an intervention guide to manage COVID19 spread.

Authors:  Sebastián Nuñez; Fernando A Inthamoussou; Fernando Valenciaga; Hernán De Battista; Fabricio Garelli
Journal:  Biomed Signal Process Control       Date:  2021-03-10       Impact factor: 3.880

Review 8.  Nonlinear control of infection spread based on a deterministic SEIR model.

Authors:  Vinicius Piccirillo
Journal:  Chaos Solitons Fractals       Date:  2021-06-05       Impact factor: 5.944

9.  Fractional-order backstepping strategy for fractional-order model of COVID-19 outbreak.

Authors:  Amir Veisi; Hadi Delavari
Journal:  Math Methods Appl Sci       Date:  2021-11-28       Impact factor: 2.321

10.  Effects of limited medical resource on a Filippov infectious disease model induced by selection pressure.

Authors:  Wenjie Qin; Sanyi Tang; Changcheng Xiang; Yali Yang
Journal:  Appl Math Comput       Date:  2016-03-22       Impact factor: 4.091

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