A Mathematical Model to Analyze Data on Coronavirus Cases

Abstract

A mathematical model is presented which is designed to be applicable to Coronavirus case data from any country and which can serve as a tool to carry out predictive analysis and sensitivity analysis with the goal of minimizing virus related deaths. The model has been successfully applied to Covid-19 case data in five countries – China, South Korea, Iran, Italy and the USA. The model is versatile and can be applied to other countries and regions as well.