- 著者
- Shohei Nagata Tomoki Nakaya Yu Adachi Toru Inamori Kazuto Nakamura Dai Arima Hiroshi Nishiura
- 出版者
- Japan Epidemiological Association
- 雑誌
- Journal of Epidemiology (ISSN:09175040)
- 巻号頁・発行日
- pp.JE20200625, (Released:2021-04-03)
- 参考文献数
- 14
- 被引用文献数
- 2 56
Background: As the COVID-19 pandemic spread, the Japanese government declared a state of emergency on April 7, 2020 for seven prefectures, and on April 16, 2020 for all prefectures. The Japanese Prime Minister and governors requested people to adopt self-restraint behaviors, including working from home and refraining from visiting nightlife spots. However, the effectiveness of the mobility change due to such requests in reducing the spread of COVID-19 has been little investigated. The present study examined the association of the mobility change in working, nightlife, and residential places and the COVID-19 outbreaks in Tokyo, Osaka, and Nagoya metropolitan areas in Japan.Methods: First, we calculated the daily mobility change in working, nightlife, and residential places compared to the mobility before the outbreak using mobile device data. Second, we estimated the sensitivity of mobility changes to the reproduction number by generalized least squares.Results: Mobility change had already started in March, 2020. However, mobility reduction in nightlife places was particularly significant due to the state of emergency declaration. Although the mobility in each place type was associated with the COVID-19 outbreak, the mobility changes in nightlife places were more significantly associated with the outbreak than those in the other place types. There were regional differences in intensity of sensitivity among each metropolitan area.Conclusions: Our findings indicated the effectiveness of the mobility changes, particularly in nightlife places, in reducing the outbreak of COVID-19.
言及状況
外部データベース (DOI)
はてなブックマーク (2 users, 2 posts)
[COVID-19][HealthGIS]
Shohei Nagata, Tomoki Nakaya, Yu Adachi, Toru Inamori, Kazuto Nakamura, Dai Arima, Hiroshi Nishiura, Mobility Change and COVID-19 in Japan: Mobile Data Analysis of Locations of Infection, Journal of Epidemiology
[医療・健康][サイエンス]
Twitter (349 users, 372 posts, 584 favorites)
@sarkov28 コロナ関連で彼らがエビデンスとして持ち上げていた論文ってよく見ると院生主導のものがそこそこあるですよね。例えば、
https://t.co/F8bvyhkIfq
なんかもそうですよね。
@yatoware68 ff外より失礼します。
https://t.co/F8bvyhkIfq
この論文をご存じでしょうか？
そしてこれもまた院生主導なんですよね。
@pirorin_desuyo @mansakusenn 人流に関する報告は海外でも本邦でも集積しつつあり、人々の行動が感染拡散に影響することが明らかになってきました。門田さんは専門外の事に口を出しすぎて、本業での信頼も失いつつあると思います。
https://t.co/FUPpo68BxE
我が国における人流の意味を解析した論文。
https://t.co/FUPpo68BxE
https://t.co/FUPpo68BxE
弊社の足立さん達が共著の論文 "Mobility Change and COVID-19 in Japan: Mobile Data Analysis of Locations of Infection"
https://t.co/bw1D4vF5A9 https://t.co/cEMMIrVPfI
@naohiraishi @rinnxofficial @kanechi_monster @_shibata_aya https://t.co/96R8a0XkLR
Shohei Nagata, Tomoki Nakaya, Yu Adachi, Toru Inamori, Kazuto Nakamura, Dai Arima, Hiroshi Nishiura, Mobility Change and COVID-19 in Japan: Mobile Data Analysis of Locations of Infection, Journal of Epidemiology / “Mobility Change and COVID-19 in Japan:…” https://t.co/raluz34TIy
https://t.co/amV0xYHIP1 ひょっとして、と思ってリンク先の論文https://t.co/JX61ZWXpt5 （掲載は日本疫学会の公式英語論文誌。無料で読めます）を見に行ったら、ラストオーサーが西浦先生だった。
クラスター班に属するGIS専門家から（古瀬は含まれません）、「"夜間に人が集まる場所"の人流変化が、ほかの場所よりも流行状況（≈Rt）とより強く相関しましたよ」という論文がでましたhttps://t.co/0eafyOpL4e
× ほら、夜の街がわるい
〇 やっぱり、そこへの対策が効果的かも（もちろん補償は大事）
https://t.co/hDqoTOz0fo
ちょこっとお手伝いした東北大学の永田先生と中谷先生の論文が日本疫学会の論文で公開された。めでたい。
Mobility Change and COVID-19 in Japan: Mobile Data Analysis of Locations of Infection
https://t.co/Zt0EPVlKL1
収集済み URL リスト
- https://www.jstage.jst.go.jp/article/jea/advpub/0/advpub_JE20200625/_article (1)
- https://www.jstage.jst.go.jp/article/jea/advpub/0/advpub_JE20200625/_article/-char/en (345)
- https://www.jstage.jst.go.jp/article/jea/advpub/0/advpub_JE20200625/_article/-char/ja (2)
- https://www.jstage.jst.go.jp/article/jea/advpub/0/advpub_JE20200625/_article/-char/ja/ (1)
- https://www.jstage.jst.go.jp/article/jea/advpub/0/advpub_JE20200625/_pdf/-char/en (2)