On a Novel Dynamics of SEIR Epidemic Models with a Potential Application to COVID-19

In this paper, we study a type of disease that unknowingly spreads for long time, but by default, only to minimal population. This is not usually fatal and often goes unnoticed. We propose derive novel epidemic mathematical model describe such disease, utilizing fractional differential system under the Atangana–Baleanu–Caputo derivative. deals with transmission between susceptible, exposed, infected, recovered classes. After formulating model, equilibrium points as well stability feasibility analyses are stated. Then, present results concerning existence positivity in solutions sensitivity analysis. Consequently, computational experiments conducted discussed via proper criteria. From our experimental results, find loss regain immunity result gain infections. Epidemic models can be linked symmetry asymmetry from distinct view. By using approach, much research may expected epidemiology other areas, particularly COVID-19, state how develops after being infected virus.