The COVID-19 SIR Dynamical Prediction Model for Eradicating Corona Virus Disease 2019

Min Wang, Peng Wang, Suqin Wu, Chong Sun

Abstract


This paper has established the COVID-19 SIR Dynamical Prediction Model. First, the official data is devoted to fit and simulate the spread of the epidemic, and the spread of speed of some countries. Then, in the next period of time the number of infected persons and several numerical trends are predicted. Finally, the error of the population infected is calculated and the result is 7.09%. It proposed the solution to solve practical problems.

Keywords


SIR Model, COVID-19, Dynamical Prediction Model


DOI
10.12783/dtcse/cisnr2020/35164

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