中国
2019年冠状病毒病(COVID-19)
资源(消歧)
选择(遗传算法)
2019-20冠状病毒爆发
公共卫生
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
政治学
经济增长
医学
爆发
病毒学
护理部
计算机科学
经济
疾病
传染病(医学专业)
法学
人工智能
病理
计算机网络
作者
Xinkai Wang,Bertie Dockerill,Li Xue,Jingxian Huang,Jiayi Li,Junlong Chen
摘要
Urban management and planning during public health emergencies, such as the COVID-19 pandemic, are critical. This article examines hospital site selection in Yinzhou, Ningbo, China, using geographical data analysis. It evaluates travel costs and referral patterns between hospitals and community health facilities to establish a sustainable hierarchical diagnosis and treatment system. The results reveal that existing medical facilities, particularly in rural areas, are inadequate during public health emergencies. The article proposes considering total transportation costs in allocating the sites of new hospitals and suggests adopting a ‘permanent + temporary’ facility planning approach to ease financial burdens. Addressing these issues can mitigate the inequitable distribution of urban and rural medical resources. This article was published open access under a CC BY licence: https://creativecommons.org/licenses/by/4.0/ .
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