ID | 4451 |
フルテキストファイル | |
その他のタイトル(欧) | Analysis of spatial correlations of COVID-19 during the 1st and 2nd waves
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作成者 | |
Self DOI [info:doi/] | |
掲載誌名 |
経済理論
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ISSN | 04516222
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NCID | AN00071425
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巻 | 405
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開始ページ | 1
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終了ページ | 15
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並び順 | 01
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発行日 | 2021-06-01
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本文言語 |
日本語
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記事種別(和) | 論文
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キーワード(和) | 新型コロナウイルス
空間的相関
モランのI
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キーワード(欧) | COVID-19
Spatial Correlation
Moran's I
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抄録(欧) | In this paper, we apply spatial statistical methods such as Moran’s I to examine the geographical pattern of the spread of COVID-19 from metropolitan to rural areas. We first characterize the geographical distribution and spread of COVID-19 in time series data from January 28 to February 1, 2021, and then test the statistical significance of the spatial correlation patterns (regional correlation using Moran’s I). In light of the p-value of Moran’s I, our results suggest the number of infected people was inversely proportional to the power of regional transmission of COVID-19 until June 23, which is in line with theoretical expectations. However, from June 30 to August 31, the p-value of Moran’s I statistic and the number of infected people became proportional. There is a possibility that the spread had become chronic in the surrounding cities and that therefore the spatial correlation was weakened to statistical insignificance.
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資料タイプ |
紀要論文
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著者版フラグ |
出版者版
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