Geographical detector-based assessment of multi-level explanatory powers of determinants on China's medical-service resumption during the COVID-19 epidemic
文献类型：期刊论文
| 作者 | Hu, Bisong; Fu, Sumeng; Luo, Jin; Lin, Hui; Yin, Qian3; Tao, Vincent4; Jiang, Bin1; Zuo, Lijun5; Meng, Yu5 |
| 刊名 | ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
 |
| 出版日期 | 2023-09-01 |
| 卷号 | 50期号:7页码:1739-1758 |
| 关键词 | medical-service resumption geographical detector multi-level explanatory powers COVID-19 |
| DOI | 10.1177/23998083221143122 |
| 文献子类 | Article |
| 英文摘要 | Knowing the multi-level influences of determinants on medical-service resumptions is of great benefits to the policymaking for medical-service recovery at different levels of study units during the post-COVID-19 pandemic era. This article evaluated the hospital- and city-level resumptions of medical services in mainland China based on the data of location-based service (LBS) requests of mobile devices during the two time periods (December 2019 and from February 21 to March 18, 2020). We selected medical-service capacity, human movement, epidemic severity, and socioeconomic factors as the potential determinants on medical-service resumptions and then explicitly assessed their multi-level explanatory powers and the interactive effects of paired determinants using the geographical detector method. The results indicate that various determinants had different individual explanatory powers and interactive relationships/effects at different levels of medical-service resumptions. The current study provides a novel multi-level insight for assessing work resumption and individual/interactive influences of determinants, and considerable implications for regionalized recovery strategies of medical services. |
| WOS关键词 | ASSOCIATION ; IMPACT ; CITY |
| WOS研究方向 | Environmental Sciences & Ecology ; Geography ; Public Administration ; Urban Studies |
| WOS记录号 | WOS:000893126600001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200916]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Wayz AI Technol Co Ltd, Shanghai, Peoples R China 2.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China 3.Jiangxi Normal Univ, Sch Geog & Environm, 99 Ziyang Rd, Nanchang, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & NaturalResources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 5.Univ Gavle, Fac Engn & Sustainable Dev, Div GISci, Gavle, Sweden |
| 推荐引用方式 GB/T 7714 | Hu, Bisong,Fu, Sumeng,Luo, Jin,et al. Geographical detector-based assessment of multi-level explanatory powers of determinants on China's medical-service resumption during the COVID-19 epidemic[J]. ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE,2023,50(7):1739-1758. |
| APA | Hu, Bisong.,Fu, Sumeng.,Luo, Jin.,Lin, Hui.,Yin, Qian.,...&Meng, Yu.(2023).Geographical detector-based assessment of multi-level explanatory powers of determinants on China's medical-service resumption during the COVID-19 epidemic.ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE,50(7),1739-1758. |
| MLA | Hu, Bisong,et al."Geographical detector-based assessment of multi-level explanatory powers of determinants on China's medical-service resumption during the COVID-19 epidemic".ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE 50.7(2023):1739-1758. |
入库方式： OAI收割
来源：地理科学与资源研究所
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