The existing contagious epidemic disease, [SARS]‐CoV‐2, has been one of the biggest public health problems that humankind combatting against since December 2019. Answering the increase in the number of infected patients during the pandemic is one of the biggest challenges for healthcare systems, where resources have already been employed by a significant number of patients. While assigning most of the resources to infected people is an effective way in a short‐term planning, its bitter effects on regular healthcare cannot be undervalued. Moreover, within this plan the risk of spreading the disease to other patients and healthcare providers is another risk that should not be underestimated. Therefore, in this study, we proposed the Delphi‐based multicriteria decision‐making (MCDM) framework for selecting the most appropriate location for an isolation hospital serving only epidemic‐based patients with mild to moderate symptoms. The integrated framework consists of Delphi, Best–Worst Method, and interval type‐2 fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodologies. Nine most effecting criteria are considered in the evaluation of five alternative locations in a real case study conducted at the European side of Istanbul. Ataturk Airport is determined as the best location to set up an isolation hospital based on determined nine evaluation criteria. The effectiveness and robustness of the framework are analyzed through comparative and sensitivity analyses.

中文翻译：

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基于Delphi的MCDM方法确定COVID-19隔离医院的位置


自 2019 年 12 月以来，现有的传染性流行病 [SARS]-CoV-2 一直是人类应对的最大公共卫生问题之一。应对大流行期间感染患者数量的增加是人类面临的最大挑战之一。医疗保健系统，其中的资源已被大量患者使用。虽然将大部分资源分配给感染者是短期规划的有效方法，但它对常规医疗保健的苦涩影响不容低估。此外，在该计划中，将疾病传播给其他患者和医疗保健提供者的风险是另一个不应低估的风险。因此，在本研究中，我们提出了基于德尔菲法的多标准决策（MCDM）框架，用于为仅服务轻至中度症状的流行病患者的隔离医院选择最合适的地点。该集成框架由德尔菲法、最佳-最差方法和区间 2 型模糊技术（通过与理想解相似的偏好顺序）（TOPSIS）方法组成。在伊斯坦布尔欧洲一侧进行的真实案例研究中，在评估五个替代地点时考虑了九个最有效的标准。根据确定的九项评估标准，阿塔图尔克机场被确定为设立隔离医院的最佳地点。通过比较和敏感性分析来分析该框架的有效性和稳健性。