School of Economics and Management, China University of Mining and Technology, Xuzhou, China.
School of Public Health, Xuzhou Medical University, Xuzhou, China.
Front Public Health. 2022 Jun 21;10:876558. doi: 10.3389/fpubh.2022.876558. eCollection 2022.
In the event of pandemic, it is essential for government authority to implement responses to control the pandemic and protect people's health with rapidity and efficicency. In this study, we first develop an evaluation framework consisting of the entropy weight method (EWM) and the technique for order preference by similarity to ideal solution (TOPSIS) to identify the preliminary selection of Fangcang shelter hospitals; next, we consider the timeliness of isolation and treatment of patients with different degrees of severity of the infectious disease, with the referral to and triage in Fangcang shelter hospitals characterized and two optimization models developed. The computational results of Model 1 and Model 2 are compared and analyzed. A case study in Xuzhou, Jiangsu Province, China, is used to demonstrate the real-life applicability of the proposed models. The two-stage localization method gives decision-makers more options in case of emergencies and can effectively designate the location. This article may give recommendations of and new insights into parameter settings in isolation hospital for governments and public health managers.
在发生大流行的情况下，政府当局必须迅速有效地实施应对措施来控制疫情并保护人民的健康。在本研究中，我们首先开发了一个评估框架，该框架由熵权法（EWM）和逼近理想解的排序技术（TOPSIS）组成，用于确定方舱庇护医院的初步选择；接下来，我们考虑了不同严重程度传染病患者的隔离和治疗的及时性，将方舱庇护医院的转诊和分诊特征化，并开发了两个优化模型。对模型 1 和模型 2 的计算结果进行了比较和分析。使用中国江苏省徐州市的案例研究来说明所提出模型的实际适用性。两阶段定位方法为决策者在紧急情况下提供了更多选择，并可以有效地指定位置。本文可为政府和公共卫生管理者提供隔离医院的参数设置建议和新见解。
