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Assessing work resumption in hospitals during the COVID-19 epidemic in China using multiscale geographically weighted
Bisong Hu1,2, Qianqian Zhang1, Vincent Tao3
1School of Geography and Environment Jiangxi Normal University Nanchang China.
Abstract:
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.
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