Computational Modeling of Reaction-Diffusion COVID-19 Model Having Isolated Compartment

Cases of COVID-19 and its variant omicron are raised all across the world. The most lethal form effect version, which has been reported in tens thousands cases daily numerous nations. Following WHO (World health organization) records on 30 December 2021, were found to be maximum for boarding individuals 1,524,266, active, recovered, discharge 82,402 34,258,778, respectively. While there 160,989 active cases, 33,614,434 cured 456,386 total deaths, 605,885,769 samples tested. So far, 1,438,322,742 have vaccinated. coronavirus or is inciting panic several reasons. It a new virus that affected whole Scientists introduced certain ways prevent virus. One can lower danger infection by reducing contact rate with other persons. Avoiding crowded places social events many people reduces chance one being exposed deadly spreads speedily. thought upcoming waves this pandemic will even more dreadful. Mathematicians presented mathematical models study predict future dangers. need hour restrict mobility control from spreading. Moreover, separating healthy essential infection. We consider model population divided into five compartments. present presents population’s diffusion effects susceptible, exposed, infected, isolated, recovered reproductive number, key role infectious models, discussed. equilibrium points their stability presented. For numerical simulations, finite difference (FD) schemes like nonstandard (NSFD), forward time central space (FTCS), Crank Nicolson (CN) implemented. Some core characteristics consistency calculated.