Analysis and simulation of an amended HIV-I infection Model
Mathematical models have been widely used to explain the factors that govern infectious disease progression in HIV infections. Almost all the HIV infection mathematical model include virus-free host CD4+ T cells, infected CD4+ T cells and a pathogen virus vthat represents HIV-1. Tomas et.al presented a HIV therapy model by using genetically modified virus. The Tomas’s model has two more variables which stand for the double-infected CD4+ T cells and genetically modified virus. The infection rate of the CD4+T Cells and the virus is bilinear. In this paper, based on Tomas model, we proposed an amended HIV-I therapy model by using standard incidence. Stable analysis and numerical simulation were also given.
HBV infection time delay equilibrium asymptotic stability
Xinjian Zhuo
School of Science,Beijing University of Posts and Telecommunications,Beijing, 100876,China
国际会议
The 5th International Congress on Mathematical Biology(第五届国际生物数学大会 ICMB 2011)
南京
英文
1221-1226
2011-06-01(万方平台首次上网日期,不代表论文的发表时间)