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Assessing work resumption in hospitals during the COVID-19 epidemic in China using multiscale geographically weighted regression

文献类型：期刊论文

作者Hu, Bisong2,3; Zhang, Qianqian2; Tao, Vincent1; Wang, Jinfeng3; Lin, Hui2; Zuo, Lijun4; Meng, Yu4
刊名TRANSACTIONS IN GIS
出版日期2022-04-06
页码18
ISSN号1361-1682
DOI10.1111/tgis.12927
通讯作者Wang, Jinfeng(wangjf@lreis.ac.cn) ; Lin, Hui(huilin@cuhk.edu.hk)
英文摘要The resumption of work and production is one of the key issues during the novel coronavirus (COVID-19) post-epidemic phase. We used location-based service data of mobile devices to assess the work resumption of 22,098 hospitals in mainland China. The multiscale influences of the determinants on work resumption in hospitals, including medical-service capacity, human movement, and epidemic severity, were examined using the multiscale geographically weighted regression technique. This study provides a novel insight into the assessment of work resumption in hospitals and its determinants, and is flexible to be extended to evaluate the work resumption of other industries. The findings can introduce helpful information for other countries to implement the strategies of work recovery during the post-epidemic phase.
WOS关键词CORONAVIRUS ; SHENZHEN ; OUTBREAK ; SPREAD ; 1ST
资助项目Science and Technology Major Project of Jiangxi Province, China[20201BBG71010] ; Science and Technology Major Project of Jiangxi Province, China[2020YBBGW0007] ; National Natural Science Foundation of China[41961055] ; National Natural Science Foundation of China[42061075] ; Science and Technology Major Project of Jiangxi Provincial Office of Education, China[GJJ200303]
WOS研究方向Geography
语种英语
出版者WILEY
WOS记录号WOS:000778758600001
资助机构Science and Technology Major Project of Jiangxi Province, China ; National Natural Science Foundation of China ; Science and Technology Major Project of Jiangxi Provincial Office of Education, China
源URL[http://ir.igsnrr.ac.cn/handle/311030/173005]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Jinfeng; Lin, Hui
作者单位1.Wayz AI Technol Co Ltd, Shanghai, Peoples R China
2.Jiangxi Normal Univ, Sch Geog & Environm, 99 Ziyang Rd, Nanchang 330022, Jiangxi, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
4.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Hu, Bisong,Zhang, Qianqian,Tao, Vincent,et al. Assessing work resumption in hospitals during the COVID-19 epidemic in China using multiscale geographically weighted regression[J]. TRANSACTIONS IN GIS,2022:18.
APA Hu, Bisong.,Zhang, Qianqian.,Tao, Vincent.,Wang, Jinfeng.,Lin, Hui.,...&Meng, Yu.(2022).Assessing work resumption in hospitals during the COVID-19 epidemic in China using multiscale geographically weighted regression.TRANSACTIONS IN GIS,18.
MLA Hu, Bisong,et al."Assessing work resumption in hospitals during the COVID-19 epidemic in China using multiscale geographically weighted regression".TRANSACTIONS IN GIS (2022):18.

入库方式： OAI收割

来源：地理科学与资源研究所

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