Stochastic dynamics in a delayed epidemic system with Markovian switching and media coverage

Abstract A stochastic SIR system with Lévy jumps and distributed delay is developed and employed to study the combined effects of Markovian switching and media coverage on stochastic epidemiological dynamics and outcomes. Stochastic Lyapunov functions are used to prove the existence of a stationary...

Full description

Bibliographic Details
Main Authors: Chao Liu, Jane Heffernan
Format: Article
Language:English
Published: SpringerOpen 2020-08-01
Series:Advances in Difference Equations
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13662-020-02894-5
id doaj-82b01291c6b04aa190db998e5aa6bf85
record_format Article
spelling doaj-82b01291c6b04aa190db998e5aa6bf852020-11-25T03:54:23ZengSpringerOpenAdvances in Difference Equations1687-18472020-08-012020112310.1186/s13662-020-02894-5Stochastic dynamics in a delayed epidemic system with Markovian switching and media coverageChao Liu0Jane Heffernan1Institute of Systems Science, Northeastern UniversityDepartment of Mathematics and Statistics, York UniversityAbstract A stochastic SIR system with Lévy jumps and distributed delay is developed and employed to study the combined effects of Markovian switching and media coverage on stochastic epidemiological dynamics and outcomes. Stochastic Lyapunov functions are used to prove the existence of a stationary distribution to the positive solution. Sufficient conditions for persistence in mean and the extinction of an infectious disease are also shown.http://link.springer.com/article/10.1186/s13662-020-02894-5Telephone noiseMedia coverageLévy jumpsDistributed delayPersistence in meanExtinction of disease
collection DOAJ
language English
format Article
sources DOAJ
author Chao Liu
Jane Heffernan
spellingShingle Chao Liu
Jane Heffernan
Stochastic dynamics in a delayed epidemic system with Markovian switching and media coverage
Advances in Difference Equations
Telephone noise
Media coverage
Lévy jumps
Distributed delay
Persistence in mean
Extinction of disease
author_facet Chao Liu
Jane Heffernan
author_sort Chao Liu
title Stochastic dynamics in a delayed epidemic system with Markovian switching and media coverage
title_short Stochastic dynamics in a delayed epidemic system with Markovian switching and media coverage
title_full Stochastic dynamics in a delayed epidemic system with Markovian switching and media coverage
title_fullStr Stochastic dynamics in a delayed epidemic system with Markovian switching and media coverage
title_full_unstemmed Stochastic dynamics in a delayed epidemic system with Markovian switching and media coverage
title_sort stochastic dynamics in a delayed epidemic system with markovian switching and media coverage
publisher SpringerOpen
series Advances in Difference Equations
issn 1687-1847
publishDate 2020-08-01
description Abstract A stochastic SIR system with Lévy jumps and distributed delay is developed and employed to study the combined effects of Markovian switching and media coverage on stochastic epidemiological dynamics and outcomes. Stochastic Lyapunov functions are used to prove the existence of a stationary distribution to the positive solution. Sufficient conditions for persistence in mean and the extinction of an infectious disease are also shown.
topic Telephone noise
Media coverage
Lévy jumps
Distributed delay
Persistence in mean
Extinction of disease
url http://link.springer.com/article/10.1186/s13662-020-02894-5
work_keys_str_mv AT chaoliu stochasticdynamicsinadelayedepidemicsystemwithmarkovianswitchingandmediacoverage
AT janeheffernan stochasticdynamicsinadelayedepidemicsystemwithmarkovianswitchingandmediacoverage
_version_ 1724473966629748736