Determining the location of isolation hospitals for COVID‐19 via Delphi‐based MCDM method

Abstract

The existing contagious epidemic disease, [SARS]‐CoV‐2, has been one of the biggest public health problems that humankind combatting against since December 2019. Answering the increase in the number of infected patients during the pandemic is one of the biggest challenges for healthcare systems, where resources have already been employed by a significant number of patients. While assigning most of the resources to infected people is an effective way in a short‐term planning, its bitter effects on regular healthcare cannot be undervalued. Moreover, within this plan the risk of spreading the disease to other patients and healthcare providers is another risk that should not be underestimated. Therefore, in this study, we proposed the Delphi‐based multicriteria decision‐making (MCDM) framework for selecting the most appropriate location for an isolation hospital serving only epidemic‐based patients with mild to moderate symptoms. The integrated framework consists of Delphi, Best–Worst Method, and interval type‐2 fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodologies. Nine most effecting criteria are considered in the evaluation of five alternative locations in a real case study conducted at the European side of Istanbul. Ataturk Airport is determined as the best location to set up an isolation hospital based on determined nine evaluation criteria. The effectiveness and robustness of the framework are analyzed through comparative and sensitivity analyses.

International entrepreneurial startups' location under uncertainty through a heterogeneous multi-layer decision-making approach: evidence and application of an emerging economy

“…Benefit Khaengkhan et al 2019;Aydin andSeker 2021, Zečević et al, 2017) Subsidiary costs Rent a room in STPs includes subsidiary costs such as charges for office units, office learning costs, parking fees, etc. The lower the subsidiary cost, the more suitable choice is to rent.…”

“…Cost Khaengkhan et al 2019;Aydin and Seker 2021;Ak and Acar, 2021;Wang et al, 2020;Karagoz et al, 2020;Tadić et al, 2020)…”

“…Benefit (Aydin and Seker, 2021;Zha et al, 2020;Hashemkhani Zolfani et al, 2013) International collaboration…”

Pandemic hospital site selection: a GIS-based MCDM approach employing Pythagorean fuzzy sets

“…The integrated approach of combining PFSs, AHP, and TOPSIS has been effectively applied in various fields in the literature, such as risk assessment (Ak and Gul 2019;Bakioglu and Atahan 2021), ATM site selection (Yildiz et al 2020), wind power farm location selection (Otay and Jaller 2020), hospital service quality evaluation (Yucesan and Gul 2020), green supplier selection (Çalık 2020), and transportation company selection (Sarkar and Biswas 2021). From the limited number of studies in the literature related to the selection of the site for a pandemic hospital, it is seen that the criteria to be considered are similar to the selection criteria for a hospital site (Hashemkhani Zolfani et al 2020;Aydin and Seker 2021). However, criteria weights may differ.…”

A novel multicriteria decision‐making approach with unknown weight information under q‐ rung orthopair fuzzy environment

“…1 In recent years, MCDM has been continuously investigated and widely applied in many fields, including supplier selection, 2 mobile edge caching scheme selection, 3 and determination of the location of isolation hospitals for COVID-19. 4 One of the major techniques on MCDM is the outranking method used to rank the alternatives from the best to the worst. Until now, there are several representative outranking methods, such as Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), 5 Elimination and Choice Translating Reality (ELECTRE), 6 VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), 7 KEmeny Median Indicator Ranks Accordance (KEMIRA), 8 Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), 9 method of minimizing rank reversals, 10 MultiObjective Optimization by Ratio Analysis plus the Full Multiplicative From (MULTIMOORA), 11 the best-worst method (BWM), 12 teaching-learning-based optimization (TLBO), 13 and so forth.…”