Journal Article

·2023 OPEN ACCESS

Interaction of Virus in Cancer Patients: A Theoretical Dynamic Model

Veli Shakhmurov , Muhammet Kurulay YTU , Aida Sahmurova , Mustafa Can Gursesli , Antonio Lanatà

Bioengineering

Abstract

This study reports on a phase-space analysis of a mathematical model of tumor growth with the interaction between virus and immune response. In this study, a mathematical determination was attempted to demonstrate the relationship between uninfected cells, infected cells, effector immune cells, and free viruses using a dynamic model. We revealed the stability analysis of the system and the Lyapunov stability of the equilibrium points. Moreover, all endemic equilibrium point models are derived. We investigated the stability behavior and the range of attraction sets of the nonlinear systems concerning our model. Furthermore, a global stability analysis is proved either in the construction of a Lyapunov function showing the validity of the concerned disease-free equilibria or in endemic equilibria discussed by the model. Finally, a simulated solution is achieved and the relationship between cancer cells and other cells is drawn.

Keywords

Lyapunov function Stability (learning theory) Equilibrium point Nonlinear system Virus Immune system Parameter space Mathematics Function (biology) Control theory (sociology) Computer science Statistical physics Applied mathematics Biology Physics Virology Immunology Cell biology Statistics Artificial intelligence

Subject Areas

Mathematical Biology Tumor Growth ·Modeling and Simulation ·Physical Sciences
Mathematical and Theoretical Epidemiology and Ecology Models ·Public Health, Environmental and Occupational Health ·Health Sciences
Evolution and Genetic Dynamics ·Genetics ·Life Sciences

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