**Application of a Gray-Based Decision Support Framework for Location Selection of a Temporary Hospital during COVID-19 Pandemic**

#### **Sarfaraz Hashemkhani Zolfani 1,\*, Morteza Yazdani <sup>2</sup> , Ali Ebadi Torkayesh <sup>3</sup> and Arman Derakhti 1**


Received: 3 May 2020; Accepted: 14 May 2020; Published: 30 May 2020

**Abstract:** 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.

**Keywords:** COVID-19; criteria importance through inter-criteria correlation (CRITIC); combined compromise solution (CoCoSo); gray values; temporary hospital; location selection
