Stochastic Analysis of a Hantavirus Infection Model

In this paper, a stochastic Hantavirus infection model is constructed. The existence, uniqueness, and boundedness of the positive solution of the stochastic Hantavirus infection model are derived. The conditions for the extinction of the Hantavirus infection from the stochastic system are obtained....

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Main Authors: Yousef Alnafisah, Moustafa El-Shahed
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/20/3756
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author Yousef Alnafisah
Moustafa El-Shahed
author_facet Yousef Alnafisah
Moustafa El-Shahed
author_sort Yousef Alnafisah
collection DOAJ
description In this paper, a stochastic Hantavirus infection model is constructed. The existence, uniqueness, and boundedness of the positive solution of the stochastic Hantavirus infection model are derived. The conditions for the extinction of the Hantavirus infection from the stochastic system are obtained. Furthermore, the criteria for the presence of a unique ergodic stationary distribution for the Hantavirus infection model are established using a suitable Lyapunov function. Finally, the importance of environmental noise in the Hantavirus infection model is illustrated using the Milstein method.
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spelling doaj.art-e6219f61a8874689aece5a35240e86cb2023-12-02T00:36:00ZengMDPI AGMathematics2227-73902022-10-011020375610.3390/math10203756Stochastic Analysis of a Hantavirus Infection ModelYousef Alnafisah0Moustafa El-Shahed1Department of Mathematics, College of Sciences, Qassim University, P.O. Box 6644, Buraydah 51452, Saudi ArabiaDepartment of Mathematics, Unaizah College of Sciences and Arts, Qassim University, P.O. Box 3771, Unaizah 51911, Saudi ArabiaIn this paper, a stochastic Hantavirus infection model is constructed. The existence, uniqueness, and boundedness of the positive solution of the stochastic Hantavirus infection model are derived. The conditions for the extinction of the Hantavirus infection from the stochastic system are obtained. Furthermore, the criteria for the presence of a unique ergodic stationary distribution for the Hantavirus infection model are established using a suitable Lyapunov function. Finally, the importance of environmental noise in the Hantavirus infection model is illustrated using the Milstein method.https://www.mdpi.com/2227-7390/10/20/3756HantavirusMilstein methodstochasticergodic stationary distributionbiodiversity
spellingShingle Yousef Alnafisah
Moustafa El-Shahed
Stochastic Analysis of a Hantavirus Infection Model
Mathematics
Hantavirus
Milstein method
stochastic
ergodic stationary distribution
biodiversity
title Stochastic Analysis of a Hantavirus Infection Model
title_full Stochastic Analysis of a Hantavirus Infection Model
title_fullStr Stochastic Analysis of a Hantavirus Infection Model
title_full_unstemmed Stochastic Analysis of a Hantavirus Infection Model
title_short Stochastic Analysis of a Hantavirus Infection Model
title_sort stochastic analysis of a hantavirus infection model
topic Hantavirus
Milstein method
stochastic
ergodic stationary distribution
biodiversity
url https://www.mdpi.com/2227-7390/10/20/3756
work_keys_str_mv AT yousefalnafisah stochasticanalysisofahantavirusinfectionmodel
AT moustafaelshahed stochasticanalysisofahantavirusinfectionmodel