Modeling the cell-to-cell transmission dynamics of viral infection under the exposure of non-cytolytic cure

被引:0
作者
Mausumi Dhar
Shilpa Samaddar
Paritosh Bhattacharya
机构
[1] National Institute of Technology Agartala,Department of Mathematics
来源
Journal of Applied Mathematics and Computing | 2021年 / 65卷
关键词
Virus-to-cell transmission; Cell-to-cell transmission; Non-cytolytic cure; Primary HIV-1 infection; 92B05; 37N25; 97M10;
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学科分类号
摘要
To explore the effect of direct cell-to-cell transmission on viral infection dynamics under the exposure of the non-cytolytic cure mechanism, a mathematical model integrating both the virus-to-cell and cell-to-cell transmissions with a non-cytolytic cure rate of infected cells in the presence of humoral immunity has been considered. Parameter variation experimentation suggests that a high cell-to-cell infection rate induces the chronic infection state in the host, whereas a high non-cytolytic cure rate positively contributes to the reduction of the viral load. We observe that a moderate cure rate under the exposure of a weak cell-to-cell transmission can effectively reduce the level of infection. Further, we examine the effect of cell-free transmission on the infection dynamics under the influence of cell-to-cell transmission. To substantiate our hypothesis, we present a case study of five HIV-1 infected patients to depict the primary HIV-1 infection dynamics in a real life scenario through model prediction.
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页码:885 / 911
页数:26
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