Pandemic hospital site selection: a GIS-based MCDM approach employing Pythagorean fuzzy sets.
Environ Sci Pollut Res Int
; 29(2): 1985-1997, 2022 Jan.
Article
in English
| MEDLINE | ID: covidwho-1345177
ABSTRACT
COVID-19 poses many challenges for hospitals around the world. Each country attempts to solve the problems in its hospitals using different methods. In Turkey, two pandemic hospitals were built in Istanbul, the most crowded province. In addition, some hospitals were designated as pandemic hospitals. This study focuses on the methods used for site selection for a pandemic hospital in Atakum, a district of Samsun City, Turkey. As a solution to the problem, initially, spatial analysis was performed using GIS to produce maps based on seven criteria obtained from the insight of an expert team. Analytic hierarchy process (AHP) augmented by interval-valued Pythagorean fuzzy numbers (PFNs) was then used to determine weights for the criteria. Distance to transportation network was the most important criterion influencing the selection process and the least significant one was the distance to fire stations. Based on the criteria weights, and five rules specified by the expert team, 13 suitable locations for a pandemic hospital were determined using GIS. The technique for order preference by similarity to ideal solution (TOPSIS) method was used to determine the final ranking of 13 alternative locations (A1-A13). A10 was identified as the most appropriate site and A11 as the least appropriate site for a pandemic hospital. Finally, sensitivity analysis was performed to investigate how changes in weight values of the criteria affect the ranking of the alternatives.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Refuse Disposal
/
COVID-19
/
Mobile Health Units
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
Environ Sci Pollut Res Int
Journal subject:
Environmental Health
/
Toxicology
Year:
2022
Document Type:
Article
Affiliation country:
S11356-021-15703-7
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