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

Min Wang, Peng Wang, Suqin Wu, Chong Sun
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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.
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2019年根治冠状病毒病的COVID-19 SIR动态预测模型
本文建立了COVID-19 SIR动态预测模型。首先,官方数据致力于拟合和模拟疫情的传播,以及一些国家的传播速度。然后,在下一段时间内预测受感染人数和若干数字趋势。最后对感染人群进行误差计算,结果为7.09%。提出了解决实际问题的方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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