Literature DB >> 33658083

Fourier analysis using the number of COVID-19 daily deaths in the US.

Yoshiyasu Takefuji1.   

Abstract

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.

Entities:  

Keywords:  COVID-19; Fourier analysis; cycle length; resurgence

Mesh:

Year:  2021        PMID: 33658083     DOI: 10.1017/S0950268821000522

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  3 in total

1.  Panel Associations Between Newly Dead, Healed, Recovered, and Confirmed Cases During COVID-19 Pandemic.

Authors:  Ming Guan
Journal:  J Epidemiol Glob Health       Date:  2021-12-11

2.  Analysing deaths and confirmed cases of COVID-19 pandemic by analytical approaches.

Authors:  Ray-Ming Chen
Journal:  Eur Phys J Spec Top       Date:  2022-03-21       Impact factor: 2.707

3.  Questioning the seasonality of SARS-COV-2: a Fourier spectral analysis.

Authors:  Riccardo Cappi; Luca Casini; Davide Tosi; Marco Roccetti
Journal:  BMJ Open       Date:  2022-04-20       Impact factor: 3.006

  3 in total

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