The recent COVID-19 pandemic has brought attention to the strategies of quarantine and other governmental measures, such as lockdown, media coverage on social isolation, strengthening of public safety, etc. All these strategies are because to manage the disease as there is no vaccine and appropriate medicine for treatment. The mathematical model can assist to determine whether these intervention options are the most effective ones for illness control and how they might impact the dynamics of the disease. Motivated by this, in this manuscript, a classical order nonlinear mathematical model has been proposed to analyze the pandemic COVID-19. The model has been analyzed numerically. The suggested mathematical model is classified into susceptible, exposed, recovered, and infected classes. The non-standard finite difference scheme (NSFDS) is used to achieve the approximate results for each compartment. The graphical presentations for various compartments of the systems that correspond to some real facts are given via MATLAB.
Part of the book: Qualitative and Computational Aspects of Dynamical Systems