Faculty of Environment and Information Studies, Keio University, 5322 Endo, Fujisawa252-0882, Japan.
Epidemiol Infect. 2021 Mar 4;149:e64. doi: 10.1017/S0950268821000522.
Fourier analysis can provide policymakers useful information for analysing the pandemic behaviours. This paper proposes a Fourier analysis approach for examining the cycle length and the power spectrum of the pandemic by converting the number of deaths due to coronavirus disease 2019 in the US to the frequency domain. Policymakers can control the pandemic by using observed cycle length whether they should strengthen their policy or not. The proposed Fourier method is useful for analysing waves in other medical applications.
傅里叶分析可为分析大流行行为提供有用的政策制定者信息。本文提出了一种傅里叶分析方法，通过将美国因 2019 年冠状病毒病导致的死亡人数转换到频域，来检查大流行的周期长度和功率谱。政策制定者可以根据观察到的周期长度来控制大流行，无论他们是否应该加强政策。所提出的傅里叶方法可用于分析其他医疗应用中的波动。
