A general non-local delay model on oncolytic virus therapy.

• A general non-local delay model was developed by age-infected law. • Global stability and uniformly persistence are studied. • Mathematical result support that viruses therapy can decrease the tumor load. • Bayesian information criterion was adopted to select a better model when fitting the experimental data. The oncolytic virus is regarded as a novel, powerful, and biologically safe method of cancer treatment. A general delay differential system was driven by the age-dependent model better to understand the interaction between tumor cells and viruses. General continuous functions F (x , y) and G (x) depict the tumor proliferation rate and virus infection rate. The critical threshold value R 0 was calculated that plays a determinant role in whether virus therapy occurs. The non-local delay term ∫ t − τ t β G (x (θ)) v (θ) e − α (t − θ) d θ makes our model hard to analyze when using the traditional eigenvalue method. The method combining implicit function theorem and comparison theorem is used to overcome this problem. Furthermore, we support the fact that virotherapy can lead to tumor remission by using the fluctuation method. Lastly, Bayesian information criterion was adopted to select a better model when fitting the experimental data. [ABSTRACT FROM AUTHOR]