Numerical Analysis of an SEIR Epidemic Model

This paper is concerned for the numerical methods of susceptible exposed infectious recovered (SEIR) epidemic model of Coronavirus disease factor. The model is handled numerically with three extraordinary numerical scheme, forward Euler, Runge-Kutta Plan (RK-4) and the proposed non-standard finite difference (NSFD) techniques. In epidemic model of infectious illnesses, energy is a demon omen property of the consistent framework since negative worth of a subpopulation is useless. The NSFD technique ends up being more important and trustable numerical system than forward Euler and RK-4 strategies. NSFD technique uses terrifically significant properties of tireless SEIR Coronavirus scourge model like energy and presence of equilibria while forward Euler and RK-4 systems can't hold these characteristics. Furthermore, the proposed NSFD is liberated from time step size while forward Euler and RK-4 depend upon the time step size. The numerical diversions with the aid of a numerical test is presented for the endorsements of the huge number of characteristics.