文献
J-GLOBAL ID:202002289681672770
整理番号:20A2288120
ネットワーク化メタ個体群モデルを用いたCOVID-19の広がりの制御における時間,強度,および測定期間の調査【JST・京大機械翻訳】
Investigating time, strength, and duration of measures in controlling the spread of COVID-19 using a networked meta-population model
著者 (7件):
Zhang Jiang
(School of Systems Science, Beijing Normal University, Beijing, China)
,
Dong Lei
(School of Earth and Space Sciences, Institute of Remote Sensing and Geographical Information Systems, Peking University, Beijing, China)
,
Dong Lei
(Senseable City Lab, Massachusetts Institute of Technology, Cambridge, MA, USA)
,
Zhang Yanbo
(School of Earth and Space Exploration, Arizona State University, Tempe, AZ, USA)
,
Chen Xinyue
(School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China)
,
Yao Guiqing
(Department of Health Sciences, University of Leicester, Leicester, UK)
,
Han Zhangang
(School of Systems Science, Beijing Normal University, Beijing, China)
資料名:
Nonlinear Dynamics
(Nonlinear Dynamics)
巻:
101
号:
3
ページ:
1789-1800
発行年:
2020年
JST資料番号:
W2017A
ISSN:
0924-090X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)