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Preprint / Version 1

A Mathematical Model to Analyze Data on Coronavirus Cases

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DOI:

https://doi.org/10.31224/osf.io/95arg

Keywords:

Covid 19, data analysis, infectious disease, mathematical modelling, modelling, predictive analysis, sensitivity analysis

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.

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Posted

2020-04-28

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