USING NONLINEAR MATHEMATICAL MODEL TO STUDY THE IMPACT OF INFECTIOUS DISEASE ON CORONAVIRUS DISEASE IN A FUZZY ENVIRONMENT
Abstract
Coronavirus disease 2019 (COVID-19, also known as SARS-2) is a contagious disease caused by the coronavirus disease caused by coronavirus SARS-CoV-2. A Mathematical Model for quantitative analysis of COVID-19 in fuzzy environment is formulated and computed the model disease free equilibrium state and analyzed its local stability in a well – defined positively invariant and attracting set for human populations using the next generation matrix. The disease-free equilibrium was proven to be locally asymptotically stable if and unstable when the . Sensitivity analysis was carried out on the fuzzy reproduction number in order to determine the parameters of the model that are most sensitive and be targeted by way of intervention strategy.