基于脊回归的COVID-19动态模拟

2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT) Pub Date : 2021-09-21 DOI:10.1109/aict52120.2021.9628991

D. Chumachenko, K. Bazilevych, I. Meniailov, S. Yakovlev, T. Chumachenko

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引用次数: 1

摘要

COVID-19大流行影响了世界各地人类活动的所有领域。公共卫生系统已显示出对如此大规模流行病的准备不足。数学建模是控制疫情过程的有效方法。本文基于Ridge回归方法，建立了新冠肺炎疫情传播动态预测模型。该模型使用英国、德国、日本和乌克兰的COVID-19发病率数据进行了验证。选择这些具有不同流行过程动态的特定国家，可以充分调查所构建模型的准确性。

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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Simulation of COVID-19 Dynamics using Ridge Regression

The COVID-19 pandemic has affected all areas of human activity around the world. Public health systems have shown their unpreparedness for a pandemic of this magnitude. An effective approach to managing the epidemic process is mathematical modeling. In this work, a predictive model of the dynamics of the spread of COVID-19 is built on the basis of the Ridge regression method. The model was verified using data on the incidence of COVID-19 in the UK, Germany, Japan and Ukraine. The choice of these particular countries with different dynamics of the epidemic process makes it possible to adequately investigate the accuracy of the constructed model.

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2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)

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