Hu Bisong, Zhang Qianqian, Tao Vincent, Wang Jinfeng, Lin Hui, Zuo Lijun, Meng Yu
School of Geography and Environment Jiangxi Normal University Nanchang China.
State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China.
Trans GIS. 2022 Jun;26(4):2023-2040. doi: 10.1111/tgis.12927. Epub 2022 Apr 6.
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.
复工复产是新型冠状病毒（COVID-19）疫情后阶段的关键问题之一。我们利用移动设备的基于位置的服务数据，评估了中国大陆22098家医院的复工情况。采用多尺度地理加权回归技术，研究了包括医疗服务能力、人员流动和疫情严重程度等因素对医院复工的多尺度影响。本研究为医院复工及其影响因素的评估提供了新的视角，并且具有灵活性，可扩展用于评估其他行业的复工情况。研究结果可为其他国家在疫情后阶段实施复工战略提供有益信息。
