邻近城市实施限制性封城措施的SARIMA和FFT分析

Dunfrey Pires Aragão, Davi H. dos Santos, A. Mondini, C. Distante, L. M. Gonçalves
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引用次数: 0

摘要

在本文中,我们使用SARIMA模型来回归每日COVID-19死亡人数曲线以及实施封锁等限制措施的影响。为了进行比较,我们选取两个相邻的巴西城市,特征相似,对病例的原始曲线进行分解,提取季节曲线。通过使用快速傅里叶变换,我们注意到,通过确定疾病传播期间构成季节性曲线的频率,限制人类循环对阿拉卡拉的COVID-19病例和死亡有直接影响,这对于未来的工作来说,可以通过该方法分析和识别事件和行动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis with SARIMA and FFT Between Two Neighboring Cities Regarding the Implementation of Restrictive Lockdown Measures
In this article, we perform the SARIMA model to regress the curve of daily COVID-19 deaths and the impact of implementing restrictive measures like lockdown. For comparison, we adopt two neighboring Brazilian cities with similar characteristics and decompose the original curve of cases to extract the seasonal curve. Using Fast Fourier Transform, we noticed that restriction of human circulation had a direct impact on COVID-19 cases and deaths in Araraquara by identifying the frequencies that compose the seasonal curves during the disease’s transmission period, which for future work allows analysis and identification of events and actions through the approach.
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