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Evaluating the effect of the COVID-19 pandemic on medical waste disposal using preference selection index with CRADIS in a fuzzy environment

Ahmet Turan Demir, Sarbast Moslem

2024Heliyon26 citationsDOIOpen Access PDF

Abstract

The COVID-19 pandemic has caused a surge in essential medical supplies usage, leading to a notable increase in medical waste generation. Consequently, extensive research has focused on sustainable disposal methods to handle used medical equipment safely. Given the necessity to evaluate these methods considering qualitative and quantitative criteria, this falls within the realm of multi-criteria decision-making (MCDM). This study introduces a framework for selecting the most suitable medical waste treatment methods, taking into account economic, technological, environmental, and social aspects. Sixteen criteria were assessed using the Fuzzy Preference Selection Index (F-PSI) to determine the optimal waste disposal approach. Additionally, the Fuzzy Compromise Ranking of Alternatives from Distance to Ideal Solution (F-CRADIS) method was employed to evaluate nine technologies for medical waste disposal. Notably, disinfection efficiency emerged as the most crucial criterion, with autoclaving identified as the preferred method for medical waste treatment. A practical case study conducted in Sivas, Turkey, validates the feasibility of these strategies. Multiple sensitivity analyses were performed to ensure the stability and reliability of the proposed approach.

Topics & Concepts

Ranking (information retrieval)Multiple-criteria decision analysisPreferenceSelection (genetic algorithm)Medical wasteFuzzy logicCompromiseCoronavirus disease 2019 (COVID-19)Index (typography)Risk analysis (engineering)Operations researchComputer scienceEngineeringWaste managementBusinessMedicineArtificial intelligenceMathematicsStatisticsSocial scienceSociologyInfectious disease (medical specialty)PathologyWorld Wide WebDiseaseHealthcare and Environmental Waste Management