Threshold dynamics of a stochastic mathematical model for Wolbachia infections

A stochastic mathematical model is proposed to study how environmental heterogeneity and the augmentation of mosquitoes with [Formula: see text] bacteria affect the outcomes of dengue disease. The existence and uniqueness of the positive solutions of the system are studied. Then the V-geometrically...

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Main Authors: Jin Yang, Zhuo Chen, Yuanshun Tan, Zijian Liu, Robert A. Cheke
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Journal of Biological Dynamics
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/17513758.2023.2231967
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author Jin Yang
Zhuo Chen
Yuanshun Tan
Zijian Liu
Robert A. Cheke
author_facet Jin Yang
Zhuo Chen
Yuanshun Tan
Zijian Liu
Robert A. Cheke
author_sort Jin Yang
collection DOAJ
description A stochastic mathematical model is proposed to study how environmental heterogeneity and the augmentation of mosquitoes with [Formula: see text] bacteria affect the outcomes of dengue disease. The existence and uniqueness of the positive solutions of the system are studied. Then the V-geometrically ergodicity and stochastic ultimate boundedness are investigated. Further, threshold conditions for successful population replacement are derived and the existence of a unique ergodic steady-state distribution of the system is explored. The results show that the ratio of infected to uninfected mosquitoes has a great influence on population replacement. Moreover, environmental noise plays a significant role in control of dengue fever.
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spelling doaj.art-b26074f54e284df79690508dc611a1532024-02-02T18:51:34ZengTaylor & Francis GroupJournal of Biological Dynamics1751-37581751-37662023-12-0117110.1080/17513758.2023.2231967Threshold dynamics of a stochastic mathematical model for Wolbachia infectionsJin Yang0Zhuo Chen1Yuanshun Tan2Zijian Liu3Robert A. Cheke4Department of Mathematics, Chongqing Jiaotong University, Chongqing, People's Republic of ChinaDepartment of Mathematics, Chongqing Jiaotong University, Chongqing, People's Republic of ChinaDepartment of Mathematics, Chongqing Jiaotong University, Chongqing, People's Republic of ChinaDepartment of Mathematics, Chongqing Jiaotong University, Chongqing, People's Republic of ChinaNatural Resources Institute, University of Greenwich at Medway, Chatham, UKA stochastic mathematical model is proposed to study how environmental heterogeneity and the augmentation of mosquitoes with [Formula: see text] bacteria affect the outcomes of dengue disease. The existence and uniqueness of the positive solutions of the system are studied. Then the V-geometrically ergodicity and stochastic ultimate boundedness are investigated. Further, threshold conditions for successful population replacement are derived and the existence of a unique ergodic steady-state distribution of the system is explored. The results show that the ratio of infected to uninfected mosquitoes has a great influence on population replacement. Moreover, environmental noise plays a significant role in control of dengue fever.https://www.tandfonline.com/doi/10.1080/17513758.2023.2231967Dengue feverpopulation replacementergodicityLyapunov function
spellingShingle Jin Yang
Zhuo Chen
Yuanshun Tan
Zijian Liu
Robert A. Cheke
Threshold dynamics of a stochastic mathematical model for Wolbachia infections
Journal of Biological Dynamics
Dengue fever
population replacement
ergodicity
Lyapunov function
title Threshold dynamics of a stochastic mathematical model for Wolbachia infections
title_full Threshold dynamics of a stochastic mathematical model for Wolbachia infections
title_fullStr Threshold dynamics of a stochastic mathematical model for Wolbachia infections
title_full_unstemmed Threshold dynamics of a stochastic mathematical model for Wolbachia infections
title_short Threshold dynamics of a stochastic mathematical model for Wolbachia infections
title_sort threshold dynamics of a stochastic mathematical model for wolbachia infections
topic Dengue fever
population replacement
ergodicity
Lyapunov function
url https://www.tandfonline.com/doi/10.1080/17513758.2023.2231967
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