一类带有饱和发生率和Logistic增长的随机病毒感染模型的灭绝性及平稳分布
Extinction and Stationary Distribution of a Classic Stochastic Viral Infection Model with Saturation Rate and Logistic Growth
DOI: 10.12677/AAM.2018.75072, PDF,   
作者: 罗 超, 张晓丹:北京科技大学数理学院,北京
关键词: 饱和发生率Logistic增长平稳分布Saturation Rate Logistic Growth Stationary Distribution
摘要: 本文研究了具有饱和发生率和logistic增长的随机病毒感染模型,当病毒感染细胞基本再生数R0<1时,确定未感染细胞的有界性和病毒感染细胞的灭绝性;当病毒感染细胞基本在生数R0>1时,构建适当的Lyapunov函数,确定平稳分布的充分条件。它显示了病毒感染在机体内持久性存在。
Abstract: In this paper, a classic stochastic viral infection model with saturation rate and logistic growth is researched. To be start, when R0<1, the boundeness of uninfected cells and the extinction of in-fected cells are discussed. Then, when R0>1 , some available Lyapunov functions are constricted and some sufficient conditions are established for stationary distribution. The theory verifies that infected cells keep persistence in vivo.
文章引用:罗超, 张晓丹. 一类带有饱和发生率和Logistic增长的随机病毒感染模型的灭绝性及平稳分布[J]. 应用数学进展, 2018, 7(5): 609-616. https://doi.org/10.12677/AAM.2018.75072

参考文献

[1] Nowak, M.A. and Bangham, C.R. (1996) Population Dynamics of Immune Responses to Persistent Viruses. Science, 272, 74-79.
[Google Scholar] [CrossRef] [PubMed]
[2] Boer, R.J.D. and Perelson, A.S. (1995) Towards a General Function De-scribing T Cell Proliferation. Journal of Theoretical Biology, 175, 567-576.
[Google Scholar] [CrossRef] [PubMed]
[3] Bon-hoeffer, S., Coffin, J.M. and Nowak, M.A. (1997) Human Immunodeficiency Virus Drug Therapy and Virus Load. Journal of Virol-ogy, 71, 3275-3278.
[4] Xie, Q., Huang, D., Zhang, S., et al. (2010) Analysis of a Viral Infection Model with Delayed Immune Response. Applied Mathematical Modelling, 34, 2388-2395.
[Google Scholar] [CrossRef
[5] 唐婷婷. 具有非线性发生率的随机传染病模型的全局动态分析[D]: [硕士学位论文]. 乌鲁木齐: 新疆大学, 2016.
[6] 赵爱民, 李文娟. 一类离散SIRS传染病模型的持久性[J]. 山西大学学报(自然科学版), 2016, 39(1): 24-30.
[7] 石栋梁, 李必文, 龚纯浩, 等. 一类具有时滞的非线性SIRS传染病模型的分析[J]. 湖北师范大学学报(自然科学版), 2016, 36(1): 83-89.
[8] 宋修朝, 李建全, 杨亚莉. 一类具有非线性发生率的SEIR传染病模型的全局稳定性分析[J]. 工程数学学报, 2016, 33(2): 175-183.
[9] Lahrouz, A., Omari, L. and Kiouach, D. (2011) Global Analysis of a Deterministic and Stochastic Nonlinear SIRS Epidemic Model. Nonlinear Analysis Modelling & Control, 16, 59-76.
[10] 王冰杰. 基于潜伏期有传染力的SEIR传染病模型的控制策略[J]. 东北师大学报(自然科学), 2014, 46(1): 28-32.
[11] 于佳佳. 随机多群体时滞SIR模型的地方病平衡点的稳定性[J]. 黑龙江大学自然科学学报, 2013, 30(6): 723-728.
[12] 周艳丽, 张卫国, 原三领. 一类随机SIRS传染病模型的持久性和灭绝性[J]. 生物数学学报, 2015(1): 79-92.
[13] Jiang, D., Liu, Q., Shi, N., et al. (2017) Dynamics of a Stochastic HIV-1 Infection Model with Logistic Growth. Physica A Statistical Mechanics & Its Applications, 469, 706-717.
[Google Scholar] [CrossRef
[14] Chen, Y., Wen, B. and Teng, Z. (2017) The Global Dynamics for a Stochastic SIS Epidemic Model with Isolation. Physica A Statistical Me-chanics & Its Applications, 496, 299-317.
[15] Cao, B., Shan, M., Zhang, Q., et al. (2017) A Stochastic SIS Epidemic Model with Vaccination. Physica A Statistical Mechanics & Its Applications, 486, 127-143.
[Google Scholar] [CrossRef
[16] Zhang, Y., Fan, K., Gao, S., et al. (2017) A Remark on Stationary Distribution of a Stochastic SIR Epidemic Model with Double Saturated Rates. Applied Mathematics Letters, 76, 46-52.
[17] Khasminskii, R. (2012) Stochastic Stability of Differential Equations. Springer, Berlin Heidelberg.
[Google Scholar] [CrossRef
[18] Mao, X., Marion, G. and Renshaw, E. (2002) Environmental Noise Suppresses Explosion in Population Dynamics. Stochastic Processes and their Applications, 97, 95-110.
[Google Scholar] [CrossRef
[19] Liptser, R.S. (1980) A Strong Law of Large Numbers for Local Martin-gales. Stochastics—An International Journal of Probability & Stochastic Processes, 3, 217-228.
[Google Scholar] [CrossRef
[20] Cai, Y., Kang, Y. and Wang, W. (2017) A Stochastic SIRS Epidemic Model with Nonlinear Incidence Rate. Elsevier Science Inc., New York.