ABSTRACT
The coronavirus infection (COVID-19), a highly contagious illness that first appeared in December 2019 in the Chinese city of Wuhan and spread quickly throughout the world, which is a newly discovered infectious disease. This pathogen infected millions of people worldwide and continues to represent a serious threat to human life. In Asian countries, India is the third country to surpass two million coronavirus cases. Numerous mathematical models have traditionally been investigated in order to gain a better understanding of coronavirus infection. Throughout this study, the dynamic behaviour of COVID-19 disease investigates by utilizing the non-integer Caputo–Fabrizio derivative to study the coronavirus sickness. To obtain a generalized model, first design the model in the integer sense and then use the fractional operator. After that, the theoretical findings are reported using the generalized model. The suggested fractional epidemic model of the novel coronavirus (COVID-19) is examined for stability and a parametric rule for the essential reproduction number ratio is provided. Picard approximation is used to 26demonstrate the fractional model for existence criteria. Finally, numerical simulations are developed to understand the influence of various parameters that determine infection dynamics, and the findings are exhibited as diagrams.
