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Dynamic behavior and control of HBV model within stochastic information intervention

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成果类型:
期刊论文
作者:
Zhang, Jingwen;Peng, Jian;Wang, Yan;Wang, Haohua
通讯作者:
Wang, HH
作者机构:
[Wang, Haohua; Zhang, Jingwen; Peng, Jian] Hainan Univ, Sch Math & Stat, Haikou 570228, Hainan, Peoples R China.
[Wang, Yan] Univ South China, Affiliated Hosp 1, Dept Neurol, Hengyang 421001, Peoples R China.
[Zhang, Jingwen] Hainan Univ, Sch Cyberspace Secur, Haikou 570228, Hainan, Peoples R China.
[Wang, Haohua; Zhang, Jingwen] Hainan Univ, Key Lab Engn Modeling & Stat Computat Hainan Prov, Haikou 570228, Peoples R China.
通讯机构:
[Wang, HH ] H
Hainan Univ, Sch Math & Stat, Haikou 570228, Hainan, Peoples R China.
语种:
英文
关键词:
HBV model;Information intervention;Stochastic analysis;Stationary distribution;Optimal control
期刊:
Alexandria Engineering Journal
ISSN:
1110-0168
年:
2024
卷:
91
页码:
126-138
基金类别:
Hainan Province Science and Technology Special Fund [ZDYF2021SHFZ231]; National Nat-ural Science Foundation of China [12261028, 11961018, 12201110]; Natural Science Foundation of Hainan Province [120RC451, 2019RC168]; Hainan Province Innovative Scientific Research Project for Graduate Students [Qhys2022-182, Qhys2022-183]
机构署名:
本校为其他机构
院系归属:
医学院
摘要:
The stochastic fluctuation of information induces the dynamic behavior and disease control strategy to change in the HBV epidemic model, but how stochastic information dissemination affects them is vague. Here, we consider an HBV epidemic model with stochastic information intervention. Using the Lyapunov function, we demonstrate that the system has a unique global positive solution, in addition, we also derive the threshold dynamics to obtain sufficient conditions that can ensure the extinction and persistence, as well as stationarity of the system. Moreover, we qualify the impact of stochasti...

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