Analytical Observation Of Dynamical Etiquette Of Nonlinear Coronavirus (COVID-19) Model

ABSTRACT

In this research work, it has examined the mathematical model such as SIR, for infectious diseases as a novel coronavirus (COVID-19). This model has played a vital role in various fields of epidemiology and environmental sciences. In addition, these types' models are very beneficial to know about the infectious diseases' dynamical behavior. In this work, the nonlinear COVID-19 model's dynamical behavior is based on a semianalytical technique Variational Iteration Method (VIM). Further, to describe the COVID-19 model, we create a novel signal flow graph. Our mathematical analyses assist us that the spread of the virus may be controlled by maintaining social distance between infected individuals and healthy individuals. Also, the analytical solution of the aforesaid mathematical model will be calculated with the help of computational software such as MAPLE code. In the end, the results will be compared with other numerical techniques to show the efficiency of the aforementioned techniques.