Modeling oncolytic virus therapy with distributed delay and non-local diffusion

In the field of modeling the dynamics of oncolytic viruses, researchers often face the challenge of using specialized mathematical terms to explain uncertain biological phenomena. This paper introduces a basic framework for an oncolytic virus dynamics model with a general growth rate F and a general nonlinear incidence term G. The construction and derivation of the model explain in detail the generation process and practical significance of the distributed time delays and non-local infection terms. The paper provides the existence and uniqueness of solutions to the model, as well as the existence of a global attractor. Furthermore, through two auxiliary linear partial differential equations, the threshold parameters σ₁ are determined for sustained tumor growth and λ₁ for successful viral invasion of tumor cells to analyze the global dynamic behavior of the model. Finally, we illustrate and analyze our abstract theoretical results through a specific example.