2021年3月4日
Fourier analysis using the number of COVID-19 daily deaths in the US
Epidemiology and Infection
- 巻
- 149
- 号
- 開始ページ
- e64
- 終了ページ
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1017/s0950268821000522
- 出版者・発行元
- Cambridge University Press ({CUP})
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.
- リンク情報
-
- DOI
- https://doi.org/10.1017/s0950268821000522
- PubMed
- https://www.ncbi.nlm.nih.gov/pubmed/33658083
- PubMed Central
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985892
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000628821000001&DestApp=WOS_CPL
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85102074321&origin=inward 本文へのリンクあり
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85102074321&origin=inward
- ID情報
-
- DOI : 10.1017/s0950268821000522
- ISSN : 0950-2688
- eISSN : 1469-4409
- ORCIDのPut Code : 93000958
- PubMed ID : 33658083
- PubMed Central 記事ID : PMC7985892
- SCOPUS ID : 85102074321
- Web of Science ID : WOS:000628821000001