Capacity Evaluation of Diagnostic Tests for COVID-19 Using Multicriteria Decision-Making Techniques

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dc.contributor.authorSayan M.
dc.contributor.authorSarigul Yildirim F.
dc.contributor.authorSanlidag T.
dc.contributor.authorUzun B.
dc.contributor.authorUzun Ozsahin D.
dc.contributor.authorOzsahin I.
dc.date.accessioned2024-07-22T08:08:00Z
dc.date.available2024-07-22T08:08:00Z
dc.date.issued2020
dc.description.abstractIn December 2019, cases of pneumonia were detected in Wuhan, China, which were caused by the highly contagious coronavirus. This study is aimed at comparing the confusion regarding the selection of effective diagnostic methods to make a mutual comparison among existing SARS-CoV-2 diagnostic tests and at determining the most effective one. Based on available published evidence and clinical practice, diagnostic tests of coronavirus disease (COVID-19) were evaluated by multi-criteria decision-making (MCDM) methods, namely, fuzzy preference ranking organization method for enrichment evaluation (fuzzy PROMETHEE) and fuzzy technique for order of preference by similarity to ideal solution (fuzzy TOPSIS). Computerized tomography of chest (chest CT), the detection of viral nucleic acid by polymerase chain reaction, cell culture, CoV-19 antigen detection, CoV-19 antibody IgM, CoV-19 antibody IgG, and chest X-ray were evaluated by linguistic fuzzy scale to compare among the diagnostic tests. This scale consists of selected parameters that possessed different weights which were determined by the experts' opinions of the field. The results of our study with both proposed MCDM methods indicated that the most effective diagnosis method of COVID-19 was chest CT. It is interesting to note that the methods that are consistently used in the diagnosis of viral diseases were ranked in second place for the diagnosis of COVID-19. However, each country should use appropriate diagnostic solutions according to its own resources. Our findings also show which diagnostic systems can be used in combination. © 2020 Murat Sayan et al.
dc.identifier.DOI-ID10.1155/2020/1560250
dc.identifier.issn1748670X
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/14200
dc.language.isoEnglish
dc.publisherHindawi Limited
dc.rightsAll Open Access; Gold Open Access; Green Open Access
dc.subjectBetacoronavirus
dc.subjectClinical Laboratory Techniques
dc.subjectCoronavirus Infections
dc.subjectDecision Making
dc.subjectFuzzy Logic
dc.subjectHumans
dc.subjectImmunoglobulin G
dc.subjectModels, Statistical
dc.subjectPandemics
dc.subjectPneumonia, Viral
dc.subjectProgram Evaluation
dc.subjectReproducibility of Results
dc.subjectSensitivity and Specificity
dc.subjectTomography, X-Ray Computed
dc.subjectAntibodies
dc.subjectCell culture
dc.subjectChemical detection
dc.subjectComputerized tomography
dc.subjectDecision making
dc.subjectDiseases
dc.subjectPolymerase chain reaction
dc.subjectScales (weighing instruments)
dc.subjectimmunoglobulin G
dc.subjectimmunoglobulin M
dc.subjectvirus RNA
dc.subjectimmunoglobulin G
dc.subjectAntigen detections
dc.subjectClinical practices
dc.subjectDiagnostic methods
dc.subjectDiagnostic systems
dc.subjectEnrichment evaluation
dc.subjectFuzzy preferences
dc.subjectMulti-criteria decision making
dc.subjectMulti-criteria decision making technique
dc.subjectantigen detection
dc.subjectArticle
dc.subjectcell culture
dc.subjectclinical evaluation
dc.subjectclinical practice
dc.subjectcomparative effectiveness
dc.subjectcomputer assisted tomography
dc.subjectcoronavirus disease 2019
dc.subjectdiagnostic test
dc.subjectdiagnostic test accuracy study
dc.subjectevidence based practice
dc.subjectfalse negative result
dc.subjectfalse positive result
dc.subjecthealth care cost
dc.subjectintermethod comparison
dc.subjectmulticriteria decision analysis
dc.subjectnonhuman
dc.subjectreal time reverse transcription polymerase chain reaction
dc.subjectsensitivity and specificity
dc.subjectSevere acute respiratory syndrome coronavirus 2
dc.subjectthorax radiography
dc.subjectthroat culture
dc.subjectvirus diagnosis
dc.subjectBetacoronavirus
dc.subjectCoronavirus infection
dc.subjectdecision making
dc.subjectfuzzy logic
dc.subjecthuman
dc.subjectlaboratory technique
dc.subjectpandemic
dc.subjectprocedures
dc.subjectprogram evaluation
dc.subjectreproducibility
dc.subjectstatistical model
dc.subjectvirus pneumonia
dc.subjectx-ray computed tomography
dc.subjectDiagnosis
dc.titleCapacity Evaluation of Diagnostic Tests for COVID-19 Using Multicriteria Decision-Making Techniques
dc.typeArticle

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