Capacity Evaluation of Diagnostic Tests For COVID-19 Using Multicriteria Decision-Making Techniques
Joint Authors
Uzun Ozsahin, Dilber
Sayan, Murat
Sarigul Yildirim, Figen
Sanlidag, Tamer
Uzun, Berna
Ozsahin, Ilker
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
In 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.
American Psychological Association (APA)
Sayan, Murat& Sarigul Yildirim, Figen& Sanlidag, Tamer& Uzun, Berna& Uzun Ozsahin, Dilber& Ozsahin, Ilker. 2020. Capacity Evaluation of Diagnostic Tests For COVID-19 Using Multicriteria Decision-Making Techniques. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1139340
Modern Language Association (MLA)
Sayan, Murat…[et al.]. Capacity Evaluation of Diagnostic Tests For COVID-19 Using Multicriteria Decision-Making Techniques. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1139340
American Medical Association (AMA)
Sayan, Murat& Sarigul Yildirim, Figen& Sanlidag, Tamer& Uzun, Berna& Uzun Ozsahin, Dilber& Ozsahin, Ilker. Capacity Evaluation of Diagnostic Tests For COVID-19 Using Multicriteria Decision-Making Techniques. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1139340
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139340