Modification and solution of the dynamical system of COVID-19

On January 30, 2020, the first instance of COVID-19, a new coronavirus disease for 2019, was found. The most dangerous coronavirus, later known as COVID-19, is the name of the virus. This thesis aims to make predictions about disease control and disease regression in the future. This thesis uses the COVID model considered by Shaikh et al. (2020). The modification of this model is accomplished by utilizing the iterative Laplace transform method and a comparative study of different fractional differential operators. The impacts of various biological parameters on the transmission dynamics of COVID-19 are investigated where the medical model is. Where the medical model is, we will modify it, find the equilibrium point, and test the stability, and according to Hartmann's theory, they have the same behavior. We will then solve the modified model by the Sumudu transformation method. The results obtained will be graphically illustrated.