Markovian switching for near-optimal control of a stochastic SIV epidemic model

As it is known that environmental perturbation is a key component of epidemic models, and Markov process reveals how the noise affects epidemic systems. The paper introduces Markov chain into a stochastic susceptible-infected-vaccination(SIV) epidemic model composed of vaccination and saturated trea...

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Main Authors: ZongWang, Qimin Zhang, Xining Li
Format: Article
Language:English
Published: AIMS Press 2019-02-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2019066?viewType=HTML
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author ZongWang
Qimin Zhang
Xining Li
author_facet ZongWang
Qimin Zhang
Xining Li
author_sort ZongWang
collection DOAJ
description As it is known that environmental perturbation is a key component of epidemic models, and Markov process reveals how the noise affects epidemic systems. The paper introduces Markov chain into a stochastic susceptible-infected-vaccination(SIV) epidemic model composed of vaccination and saturated treatment to analyze the near-optimal control. Based on Pontryagin stochastic maximum principle, the paper gives adequate and all necessary conditions for near-optimal control. Numerical simulations are presented to display the theoretical results and verify the effect of treatment control on epidemic diseases.
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spelling doaj.art-cc5be39362e5420c88f97014ff2b883e2022-12-21T23:44:42ZengAIMS PressMathematical Biosciences and Engineering1551-00182019-02-011631348137510.3934/mbe.2019066Markovian switching for near-optimal control of a stochastic SIV epidemic modelZongWang0Qimin Zhang1Xining Li21. School of Mathematics and Information Science, North Minzu University, Yinchuan, 750021, P.R. China1. School of Mathematics and Information Science, North Minzu University, Yinchuan, 750021, P.R. China 2. School of Mathematics and Statistics, Ningxia University, Yinchuan, 750021, P.R. China1. School of Mathematics and Information Science, North Minzu University, Yinchuan, 750021, P.R. China 2. School of Mathematics and Statistics, Ningxia University, Yinchuan, 750021, P.R. ChinaAs it is known that environmental perturbation is a key component of epidemic models, and Markov process reveals how the noise affects epidemic systems. The paper introduces Markov chain into a stochastic susceptible-infected-vaccination(SIV) epidemic model composed of vaccination and saturated treatment to analyze the near-optimal control. Based on Pontryagin stochastic maximum principle, the paper gives adequate and all necessary conditions for near-optimal control. Numerical simulations are presented to display the theoretical results and verify the effect of treatment control on epidemic diseases.https://www.aimspress.com/article/doi/10.3934/mbe.2019066?viewType=HTMLsiv epidemic modelmarkov chainnear-optimal controlhamiltonian functionsufficient and necessary conditions
spellingShingle ZongWang
Qimin Zhang
Xining Li
Markovian switching for near-optimal control of a stochastic SIV epidemic model
Mathematical Biosciences and Engineering
siv epidemic model
markov chain
near-optimal control
hamiltonian function
sufficient and necessary conditions
title Markovian switching for near-optimal control of a stochastic SIV epidemic model
title_full Markovian switching for near-optimal control of a stochastic SIV epidemic model
title_fullStr Markovian switching for near-optimal control of a stochastic SIV epidemic model
title_full_unstemmed Markovian switching for near-optimal control of a stochastic SIV epidemic model
title_short Markovian switching for near-optimal control of a stochastic SIV epidemic model
title_sort markovian switching for near optimal control of a stochastic siv epidemic model
topic siv epidemic model
markov chain
near-optimal control
hamiltonian function
sufficient and necessary conditions
url https://www.aimspress.com/article/doi/10.3934/mbe.2019066?viewType=HTML
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AT xiningli markovianswitchingfornearoptimalcontrolofastochasticsivepidemicmodel