A Computational Study of COVID-19 Mathematical Model with Nonsingular Kernel

In this study, we took into account a  mathematical model that shows the potential for propagation inside a specific general population. The five classes in the fatalities, recovered, infected, exposed and susceptible. We gave a thorough examination of the proposed model,  to derive the disease-free equilibrium points and endemic also by using generation matrix we calculate reproductive rates,  and determine the models solutions are positive. The concept of fractional calculus is added to the model in order to account for various memory-related characteristics, such as crossover, decay and power law. The numerical solutions for various memory were provided using a Newton-based numerical technique.