描述印度Covid-19大流行的SIUQRD和Matern 5/2 GPR模型

Basudha Pal, V. Bhat, A. H
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引用次数: 2

摘要

在这项研究中,讨论了印度冠状病毒大流行的SIUQRD模型,拟合了常微分方程(ode),并估计了影响该国的两个连续波的参数。数据取自2020年1月30日至2021年2月12日,用于拟合第一波,取自2021年2月13日至2021年6月18日,用于拟合第二波。在没有原始数据分析未来两周(6月19日至7月2日)大流行形势的情况下,该数值是在第二波疫情结束前14天内计算的。通过对两波数据的拟合,估计出所需的模型参数。该研究已进一步扩展到使用具有满意性能指标的机器学习模型- Matern 5/2 GPR来预测同一时间段(6月19日至7月2日)的病例数量。最后,将两周的原始数据与Matern 5/2 GPR模型预测的数据进行对比,检验模型的性能。据我们所知,这个Matern 5/2 GPR模型首次在印度被应用于预测COVID-19大流行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The SIUQRD and Matern 5/2 GPR Models describing the Covid-19 Pandemic in India
In this study an SIUQRD model for the Corona Virus pandemic in India has been discussed, the Ordinary Differential Equations (ODEs) have been fitted and the parameters have been estimated for the two successive waves that affected the country. The data has been taken from 30/01/2020 to 12/02/2021 for fitting the first wave and 13/02/2021 to 18/06/2021 for fitting the second wave. The value has been calculated for a span of 14 days towards the end of the second wave in absence of original data to analyze the pandemic situation for the next two weeks (19th June to 2nd July). Upon fitting the data for the two waves, the required model parameters are estimated. The study has further been extended to predict the number of cases for the same time period (19th June to 2nd July) using a machine learning model – Matern 5/2 GPR with satisfactory performance metrics. Finally, the original data during the two weeks is compared with the data predicted by the Matern 5/2 GPR model to check the performance of the model. This Matern 5/2 GPR model, to the best of our knowledge is being applied to predict the COVID-19 pandemic for the first time in India.
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