{"title":"具有贝丁顿-德安吉利斯发生函数、日食阶段和奥恩斯坦-乌伦贝克过程的随机病毒感染模型的动态行为","authors":"Yuncong Liu, Yan Wang, Daqing Jiang","doi":"10.1016/j.mbs.2024.109154","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper, we present a virus infection model that incorporates eclipse-stage and Beddington–DeAngelis function, along with perturbation in infection rate using logarithmic Ornstein–Uhlenbeck process. Rigorous analysis demonstrates that the stochastic model has a unique global solution. Through construction of appropriate Lyapunov functions and a compact set, combined with the strong law of numbers and Fatou’s lemma, we obtain the existence of the stationary distribution under a critical condition, which indicates the long-term persistence of T-cells and virions. Moreover, a precise probability density function is derived around the quasi-equilibrium of the model, and spectral radius analysis is employed to identify critical condition for elimination of the virus. Finally, numerical simulations are presented to validate theoretical results, and the impact of some key parameters such as the speed of reversion, volatility intensity and mean infection rate are investigated.</p></div>","PeriodicalId":51119,"journal":{"name":"Mathematical Biosciences","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic behaviors of a stochastic virus infection model with Beddington–DeAngelis incidence function, eclipse-stage and Ornstein–Uhlenbeck process\",\"authors\":\"Yuncong Liu, Yan Wang, Daqing Jiang\",\"doi\":\"10.1016/j.mbs.2024.109154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this paper, we present a virus infection model that incorporates eclipse-stage and Beddington–DeAngelis function, along with perturbation in infection rate using logarithmic Ornstein–Uhlenbeck process. Rigorous analysis demonstrates that the stochastic model has a unique global solution. Through construction of appropriate Lyapunov functions and a compact set, combined with the strong law of numbers and Fatou’s lemma, we obtain the existence of the stationary distribution under a critical condition, which indicates the long-term persistence of T-cells and virions. Moreover, a precise probability density function is derived around the quasi-equilibrium of the model, and spectral radius analysis is employed to identify critical condition for elimination of the virus. Finally, numerical simulations are presented to validate theoretical results, and the impact of some key parameters such as the speed of reversion, volatility intensity and mean infection rate are investigated.</p></div>\",\"PeriodicalId\":51119,\"journal\":{\"name\":\"Mathematical Biosciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-01-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematical Biosciences\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0025556424000142\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Biosciences","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0025556424000142","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
本文提出了一种病毒感染模型,该模型包含日蚀阶段和贝丁顿-德安吉利函数,并使用对数奥恩斯坦-乌伦贝克过程对感染率进行扰动。严格的分析表明,该随机模型具有唯一的全局解。通过构建适当的 Lyapunov 函数和紧凑集,结合强数字定律和 Fatou Lemma,我们得到了临界条件下静态分布的存在性,这表明 T 细胞和病毒具有长期存在性。此外,我们还围绕模型的准平衡态推导出了精确的概率密度函数,并利用谱半径分析确定了消除病毒的临界条件。最后,通过数值模拟验证了理论结果,并研究了一些关键参数的影响,如回归速度、波动强度和平均感染率。
Dynamic behaviors of a stochastic virus infection model with Beddington–DeAngelis incidence function, eclipse-stage and Ornstein–Uhlenbeck process
In this paper, we present a virus infection model that incorporates eclipse-stage and Beddington–DeAngelis function, along with perturbation in infection rate using logarithmic Ornstein–Uhlenbeck process. Rigorous analysis demonstrates that the stochastic model has a unique global solution. Through construction of appropriate Lyapunov functions and a compact set, combined with the strong law of numbers and Fatou’s lemma, we obtain the existence of the stationary distribution under a critical condition, which indicates the long-term persistence of T-cells and virions. Moreover, a precise probability density function is derived around the quasi-equilibrium of the model, and spectral radius analysis is employed to identify critical condition for elimination of the virus. Finally, numerical simulations are presented to validate theoretical results, and the impact of some key parameters such as the speed of reversion, volatility intensity and mean infection rate are investigated.
期刊介绍:
Mathematical Biosciences publishes work providing new concepts or new understanding of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems. Papers are expected to present a major research finding of broad significance for the biological sciences, or mathematical biology. Mathematical Biosciences welcomes original research articles, letters, reviews and perspectives.