Title Application of a Gray-Based Decision Support Framework for Location Selection of a Temporary Hospital during COVID-19 Pandemic
Authors Hashemkhani Zolfani, Sarfaraz , YAZDANI, MORTEZA, Ebadi Torkayesh, Ali , Derakhti, Arman
External publication No
Means Symmetry
Scope Article
Nature Científica
JCR Quartile 2
SJR Quartile 2
JCR Impact 2.713
SJR Impact 0.385
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087441470&doi=10.3390%2fSYM12060886&partnerID=40&md5=3d4064bc5c48438d4bce94ddc8f9f414
Publication date 01/06/2020
ISI 000550810700001
Scopus Id 2-s2.0-85087441470
DOI 10.3390/sym12060886
Abstract The hospital location selection problem is one of the most important\n decisions in the healthcare sector in big cities due to population\n growth and the possibility of a high number of daily referred patients.\n A poor location selection process can lead to many issues for the health\n workforce and patients, and it can result in many unnecessary costs for\n the healthcare systems. The COVID-19 outbreak had a noticeable effect on\n people\'s lives and the service quality of hospitals during recent\n months. The hospital location selection problem for infected patients\n with COVID-19 turned out to be one of the most significant and\n complicated decisions with many uncertain involved parameters for\n healthcare sectors in countries with high cases. In this study, a\n gray-based decision support framework using criteria importance through\n inter-criteria correlation (CRITIC) and combined compromise solution\n (CoCoSo) methods is proposed for location selection of a temporary\n hospital for COVID-19 patients. A case study is performed for Istanbul\n 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
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