时滞病毒感染肿瘤免疫模型的稳定性和Hopf分岔分析

Hazem M. Abd ElRaouf, Alhaytham M. Aref, A. Elsherif, Mohamed E. Khalifa
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摘要

本文讨论了免疫系统与肿瘤细胞相互作用的数学模型,其中免疫系统在与癌细胞的斗争中具有双重功能。对这种感染敏感的肿瘤细胞可能会被病毒感染,病毒感染是为了杀死癌细胞而不是健康细胞。肿瘤溶解后,被感染的癌细胞释放出新的病毒感染颗粒,进一步破坏邻近的癌细胞。导出了模型解的有界性。利用时滞微分方程理论验证了模型平衡点是否稳定,并建立了导致Hopf分岔的条件。数值模拟结果支持了理论分析的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stability and Hopf Bifurcation Analysis of a Tumor Immune Model of virus infection with Time-delay
In this article, a mathematical model of the interaction between the immune system and a tumor cell employing an oncolytic viral therapy with time delay is discussed where the immune system has a dual function in the fight against cancer cells. Tumor cells that are sensitive to this sort of infection may become infected by viral infections that are developed to kill cancer cells but not healthy cells. Following oncolysis, the infected cancer cells release fresh viral infection particles to further destroy neighboring cancer cells. The boundedness of solutions of the model is derived. The time-delay differential equation theory is used to check whether the model’s equilibrium points are stable, moreover, the conditions that lead to a Hopf bifurcation are established. The results of the theoretical analysis are supported by numerical simulation.
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