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.
| Original language | English |
|---|---|
| Article number | 886 |
| Journal | Symmetry |
| Volume | 12 |
| Issue number | 6 |
| DOIs | |
| State | Published - 1 Jun 2020 |
| Externally published | Yes |
Keywords
- COVID-19
- Combined compromise solution (CoCoSo)
- Criteria importance through inter-criteria correlation (CRITIC)
- Gray values
- Location selection
- Temporary hospital