Thai Covid-19 Wave Breaks Analysis Based on Fourier Transform

A. Heednacram, Phatcharee Thepnimit
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Abstract

Around the beginning of April 2021, the Thai Covid-19 Alpha-Delta wave began to spread. After approximately 37 weeks, the Omicron wave emerged in mid-December 2021. This paper proposes a Fourier transform approach for examining the exact wave breaks and reveals the hidden information in the power spectrum of the pandemic by converting the number of infected cases, death cases, and recovered cases caused by Covid-19 in Thailand from the time domain to the frequency domain. Analyses are conducted on wave intensity, pattern, and cycle duration. Two validation procedures are proposed to ensure the correct identification of wave breaks. The first strategy employs cross-correlation, whereas the second technique utilizes matching peak frequencies. Our results mathematically determined the Alpha-Delta wave’s end date and the Omicron wave’s beginning date. The matched peak frequency between the waves was discovered at frequency 5.286, corresponding to a cycle length of 7.027 days. The outcome enables policymakers to comprehend the pandemic’s trend and determine if the policy should be strengthened or relaxed.
基于傅里叶变换的泰国Covid-19波浪破碎分析
大约在2021年4月初,泰国新冠病毒开始传播。大约37周后,欧米克隆波于2021年12月中旬出现。本文提出了一种傅里叶变换方法,通过将泰国Covid-19引起的感染病例数、死亡病例数和康复病例数从时域转换到频域,来检查确切的波破,并揭示大流行功率谱中的隐藏信息。对波浪强度、波形和周期持续时间进行了分析。提出了两种验证程序,以确保波浪破碎的正确识别。第一种策略采用相互关联,而第二种技术利用匹配峰值频率。我们的结果在数学上确定了α - δ波的结束日期和欧米克隆波的开始日期。在5.286频率处发现了波浪之间的匹配峰值频率,对应的周期长度为7.027天。结果使决策者能够了解大流行的趋势,并决定是否应加强或放松政策。
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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