基于CVL的多尺度HIV感染模型分析
Multi-Scale HIV Infection Model Analysis Based on CVL
DOI: 10.12677/AAM.2021.109323, PDF,    科研立项经费支持
作者: 诸 慧:温州科技职业学院公共教学部,浙江 温州;王文星:重庆理工大学理学院,重庆
关键词: HIV病毒CD4+T细胞LaSalle不变性原理全局稳定性HIV Virus CD4+T Cells LaSalle Invariance Principle Global Stability
摘要: 根据艾滋病在人群中的传播率与个体体内病毒携带变量的关系,通过引入特定社区病毒负载(CVL),结合微观的宿主内免疫动力学模型和宏观的SIATR流行病模型,建立基于CVL的多尺度HIV感染的动力学模型。借助于LaSalle不变性原理,我们得到了模型的全局稳定性。
Abstract: According to the relationship between HIV transmission rate in the population and the virus carrying variables in individuals, we established a multi-scale HIV infection dynamics model based on CVL by introducing a specific community viral load (CVL) and combining the micro host immunodynamics model with the macro SIATR epidemiological model. Finally, the global stability of the multi-scale HIV model is analyzed by means of LaSalle invariance principle.
文章引用:诸慧, 王文星. 基于CVL的多尺度HIV感染模型分析[J]. 应用数学进展, 2021, 10(9): 3091-3101. https://doi.org/10.12677/AAM.2021.109323

参考文献

[1] Perelson, A.S., Neumann, A.U., Markowitz, M., Leonard, J.M. and Ho, D.D. (1996) HIV-1 Dynamics in Vivo: Virion Clearance Rate, Infected Cell Life-Span, and Viral Generation Time. Science, 271, 1582-1586. [Google Scholar] [CrossRef] [PubMed]
[2] Wang, L.C. and Li, M.Y. (2006) Mathematical Analysis of the Global Dynamics of a Model for HIV Infection of CD4+ T Cells. Mathematical Bioences, 200, 44-57. [Google Scholar] [CrossRef] [PubMed]
[3] Kermack, W.O. and McKendrick, A.G. (1927) A Contribution to the Mathematical Theory of Epidemics. Proceedings of the Royal Society A, 115, 700-721. [Google Scholar] [CrossRef
[4] Anderson, R.M. and May, R.M. (1992) Infectious Diseases of Humans: Dynamics and Control. Oxford University Press, Oxford.
[5] Gilchrist, M.A. and Coombs, D. (2005) Evolution of Virulence: Interdependence, Constrains, and Selection Using Nested Models. Theoretical Population Biology, 69,145-153. [Google Scholar] [CrossRef] [PubMed]
[6] Feng, Z.L., Velasco-Hernandez, J., Tapia-Santos, B., et al. (2012) A Model for Coupling Within-Host and Between-Host Dynamics in an Infectious Disease. Nonlinear Dynamics, 68, 401-411. [Google Scholar] [CrossRef
[7] Almocera, A.E.S., Nguyen, V.K. and Hernandez-Vargas, E.A. (2018) Multiscale Model Within-Host and Between-Host for Viral Infectious Diseases. Journal of Mathematical Biology, 77, 1035-1057. [Google Scholar] [CrossRef] [PubMed]
[8] Castel, A.D., Befus, M., Willis, S., et al. (2012) Use of the Community Viral Load as a Population-Based Biomarker of HIV Burden. AIDS, 26, 345-353. [Google Scholar] [CrossRef
[9] Garira, W. and Mafunda, M.C. (2019) From Individual Health to Community Health: Towards Multiscale Modeling of Directly Transmitted Infections Disease Systems. Journal of Biological Systems, 27, 131-166. [Google Scholar] [CrossRef
[10] Huo, H.F., Chen, R. and Wang, X.Y. (2016) Modelling and Stability of HIV/AIDS Epidemic Model with Treatment. Applied Mathematical Modelling, 40, 6550-6559. [Google Scholar] [CrossRef
[11] Smith, H.L. and Waltman, P. (1995) The Theory of the Chemostat:. Dynamics of Microbial Competition. Cambridge University Press, Cambridge. [Google Scholar] [CrossRef
[12] Zahedi, M.S. and Kargar, N.S. (2017) The Volterra-Lyapunov Matrix Theory for Global Stability Analysis of a Model of the HIV/AIDS. International Journal of Biomathematics, 10, Article ID: 1750002. [Google Scholar] [CrossRef