Post COVID-19 dynamics through fractional-order

Abstract

In this article, a fractional-order model for the COVID-19 scenario in India is formulated using nine different compartments in the Caputo sense. The fractional-order model mainly focuses on memory giving a better understanding of results. The formulated model has three equilibrium points namely disease-free, asymptomatic-free, and endemic equilibria. The basic reproduction number is computed for the model. The local stability conditions are derived for all three equilibrium points. Also, after four lockdowns in India, in this study, the unlocked COVID-19 data is considered for the best fit using the least curve fit method shown in numerical simulation. The figures and graphs are plotted to show the effectiveness of fractional-order and other various dynamics of the system.