The hospital location selection problem is one of the most important decisions in the healthcare sector in big cities due to population growth and the possibility of a high number of daily referred patients. A poor location selection process can lead to many issues for the health workforce and patients, and it can result in many unnecessary costs for the healthcare systems. The COVID-19 outbreak had a noticeable effect on people’s lives and the service quality of hospitals during recent months. The hospital location selection problem for infected patients with COVID-19 turned out to be one of the most significant and complicated decisions with many uncertain involved parameters for healthcare sectors in countries with high cases. In this study, a gray-based decision support framework using criteria importance through inter-criteria correlation (CRITIC) and combined compromise solution (CoCoSo) methods is proposed for location selection of a temporary hospital for COVID-19 patients. A case study is performed for Istanbul using the proposed decision-making framework.

中文翻译：

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基于灰色的决策支持框架在 COVID-19 大流行期间临时医院选址中的应用

由于人口增长和每日转诊患者数量众多，医院选址问题是大城市医疗保健部门最重要的决定之一。糟糕的地点选择过程可能会给卫生工作者和患者带来许多问题，并可能给医疗保健系统带来许多不必要的成本。近几个月来，COVID-19 疫情对人们的生活和医院的服务质量产生了显着影响。COVID-19 感染患者的医院选址问题被证明是最重要和最复杂的决策之一，在高病例国家的医疗保健部门有许多不确定的涉及参数。在这项研究中，提出了一种基于灰色的决策支持框架，该框架通过标准间相关性（CRITIC）和组合折衷解决方案（CoCoSo）方法使用标准重要性，用于 COVID-19 患者临时医院的位置选择。使用提议的决策框架对伊斯坦布尔进行了案例研究。