Modelling and Analysis of the Outbreak of COVID-19

Abstract

Mathematical models provide different strategies to control different diseases. The way towardbuildingupamathematicalmodelisnamedmathematicalModelling. Wedevelop different models that estimate the course of infection COVID-19 to help through a viable controlsystemandeffectivenessofvaccinebyusingdataofSaudiaArabia,Italy,Canada and Pakistan via fractional order q. These model of epidemiologic analysis to predict that how COVID-19 spread and how we can control outbreak of this virus by using basic reproduction number R0. Special consideration is given to the worldwide elements of the equilibria, positiveness, boundedness and stability analysis. For stability if R0 <1, an infected person transfer the disease individually in new infected is less than one on average overthelifetimeofitsinfectioustime,andtheinfectioncannotspread. Ontheotherhand atendemicequilibriumpointifR0 >1,thendiseasetransferfromeachinfectedpersonto morethanonenewinfectiononaverageandthediseasewillspreadacrossthepopulation. Sensitivity of models will be studied in different variations of parameters, focusing in particular on parameters that may arise. Moreover, the fitting of parameters through least squares curve fitting technique is performed. Finishing the worldwide disease lacks usage of various precaution, counting civil Separating, contact, testing following and more people should be vaccinated.