Modeling the viral dynamics of SARS-CoV-2 infection on tumor-immune system treated by chemotherapy

Cancer is one of the diseases that causes the highest mortality rate in the world, where most used treatment is chemotherapy that destroys both cancer and healthy cells. The side effect of chemotherapy is fatigue caused by a decrease in the body’s immune. This situation has become quite risky due to the presence of COVID-19 outbreak in the world, where the virus attacks humans with poor immunity. The aim of this paper is to develop the mathematical model about the viral dynamics of SARS-CoV-2 on tumor-immune system of cancer patient with chemotherapy. In the model, we study the interactions between cancer cells, SARS-CoV-2 virus, epithelial cells, and immune system. From the model, we will analyze the equilibrium point stability. In the end, we simulated the effect of chemotherapy towards SARS-CoV-2 infection on cancer patient and the sensitivity analysis of the chemotherapy drugs doses toward the density of Cytotoxic T Lymphocyte cells.