  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 $\mathcal{F}$ and a general
nonlinear incidence term $\mathcal{G}$. 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 $\sigma_1$ are
determined for sustained tumor growth and $\lambda_1$ 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.
