Dynamics of a kind of stochastic SIRS models with two different nonlinear incidences
A new kind of stochastic SIRS models with two different nonlinear incidences are extended. The obtained results can be expressed in two dimensions. In mathematics, the threshold values R 1 s and R 2 s which ensure permanent or extinct disease are presented, respectively. More concretely, when R i s...
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doaj-c620710a057a453da93cf8530d56096d2020-11-25T03:43:29ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402019-04-011110.1177/1687814019842497Dynamics of a kind of stochastic SIRS models with two different nonlinear incidencesJiabing Huang0Nantian Huang1Yuming Wei2Yongjian Liu3Guangxi Colleges and Universities Key Laboratory of Complex System Optimization and Big Data Processing, Yulin Normal University, Yulin, P.R. ChinaGuangxi Colleges and Universities Key Laboratory of Complex System Optimization and Big Data Processing, Yulin Normal University, Yulin, P.R. ChinaSchool of Mathematics and Statistics, Guangxi Normal University, Guilin, P.R. ChinaGuangxi Colleges and Universities Key Laboratory of Complex System Optimization and Big Data Processing, Yulin Normal University, Yulin, P.R. ChinaA new kind of stochastic SIRS models with two different nonlinear incidences are extended. The obtained results can be expressed in two dimensions. In mathematics, the threshold values R 1 s and R 2 s which ensure permanent or extinct disease are presented, respectively. More concretely, when R i s > 1 ( i = 1 , 2 ) , the two diseases are persistence in mean. When R i s < 1 or R i s > 1 ( i = 1 , 2 ) , the two diseases will either be extinct or be permanent, respectively. What’s more interesting is the numerical results which show that the two diseases go to extinction at a large time, when R 1 s = 1 and R 2 s = 1 . Furthermore, the sufficient conditions for the diseases that are extinct and permanent are given. In addition, the stochastic boundedness of the model is investigated. Epidemiologically, we can conclude that large noise fluctuations can effectively prevent the outbreak of disease, which can supply us beneficial methods to control the spreading of two diseases. Finally, a few numerical simulations are presented to demonstrate and verify the findings obtained.https://doi.org/10.1177/1687814019842497 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jiabing Huang Nantian Huang Yuming Wei Yongjian Liu |
spellingShingle |
Jiabing Huang Nantian Huang Yuming Wei Yongjian Liu Dynamics of a kind of stochastic SIRS models with two different nonlinear incidences Advances in Mechanical Engineering |
author_facet |
Jiabing Huang Nantian Huang Yuming Wei Yongjian Liu |
author_sort |
Jiabing Huang |
title |
Dynamics of a kind of stochastic SIRS models with two different nonlinear incidences |
title_short |
Dynamics of a kind of stochastic SIRS models with two different nonlinear incidences |
title_full |
Dynamics of a kind of stochastic SIRS models with two different nonlinear incidences |
title_fullStr |
Dynamics of a kind of stochastic SIRS models with two different nonlinear incidences |
title_full_unstemmed |
Dynamics of a kind of stochastic SIRS models with two different nonlinear incidences |
title_sort |
dynamics of a kind of stochastic sirs models with two different nonlinear incidences |
publisher |
SAGE Publishing |
series |
Advances in Mechanical Engineering |
issn |
1687-8140 |
publishDate |
2019-04-01 |
description |
A new kind of stochastic SIRS models with two different nonlinear incidences are extended. The obtained results can be expressed in two dimensions. In mathematics, the threshold values R 1 s and R 2 s which ensure permanent or extinct disease are presented, respectively. More concretely, when R i s > 1 ( i = 1 , 2 ) , the two diseases are persistence in mean. When R i s < 1 or R i s > 1 ( i = 1 , 2 ) , the two diseases will either be extinct or be permanent, respectively. What’s more interesting is the numerical results which show that the two diseases go to extinction at a large time, when R 1 s = 1 and R 2 s = 1 . Furthermore, the sufficient conditions for the diseases that are extinct and permanent are given. In addition, the stochastic boundedness of the model is investigated. Epidemiologically, we can conclude that large noise fluctuations can effectively prevent the outbreak of disease, which can supply us beneficial methods to control the spreading of two diseases. Finally, a few numerical simulations are presented to demonstrate and verify the findings obtained. |
url |
https://doi.org/10.1177/1687814019842497 |
work_keys_str_mv |
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