A Review of COVID-19 dissemination and its applications through Mathematical Model

Abstract

The purpose of this study is to describe the outbreak of a novel coronavirus (COVID-19) and review the computational model, which was based on non-linear ordinary differential equations. The main idea developed was to describe the formulation, integration, and application of mathematical models by using data from China, Austria, Poland, and France. The Logistic Model and its solution Sigmoid Curve, and the SIR Model were used for the determination. After taking the measured data, the total number of cases was predicted, and it was found that the results were obtained in good approximation to the measured results. To predict the number of deaths over time, generalized models were developed in response to COVID-19.