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...
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2020-08-01
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Series: | Advances in Difference Equations |
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Online Access: | http://link.springer.com/article/10.1186/s13662-020-02894-5 |
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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 |