“Best of Both World”: the amalgamation of fuzzy delphi method with nominal group technique for dengue risk prioritisation decision-making
Introduction. Dengue remains a public health threat. Clarifying the characteristics of future threats and prioritizing intervention towards the highest risk potential can help to control and prevent dengue outbreaks. However, obtaining a consensus from panels of experts is certainly challenging due...
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Hindawi
2022
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| Online Access: | https://eprints.ums.edu.my/id/eprint/29152/1/%E2%80%9CBest%20of%20Both%20World%E2%80%9D_%20the%20amalgamation%20of%20fuzzy%20delphi%20method%20with%20nominal%20group%20technique%20for%20dengue%20risk%20prioritisation%20decision-making.pdf https://eprints.ums.edu.my/id/eprint/29152/2/%E2%80%9CBest%20of%20Both%20World%E2%80%9D_%20the%20amalgamation%20of%20fuzzy%20delphi%20method%20with%20nominal%20group%20technique%20for%20dengue%20risk%20prioritisation%20decision-making%20_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/29152/ https://downloads.hindawi.com/journals/jfs/2022/9581367.pdf https://doi.org/10.1155/2022/9581367 |
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| author | Mohd‘Ammar Ihsan Ahmad Zamzuri Nurul Athirah Naserrudin Noor Khalili Mohd Ali Suriyati Abd Aziz Mohammad Faid Abd. Rashid Rahmat Dapari Abdul Rahman Ramdzan Rozita Hod Mohd Rohaizat Hassan |
| author_facet | Mohd‘Ammar Ihsan Ahmad Zamzuri Nurul Athirah Naserrudin Noor Khalili Mohd Ali Suriyati Abd Aziz Mohammad Faid Abd. Rashid Rahmat Dapari Abdul Rahman Ramdzan Rozita Hod Mohd Rohaizat Hassan |
| author_sort | Mohd‘Ammar Ihsan Ahmad Zamzuri |
| building | UMS Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Sabah |
| content_source | UMS Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Introduction. Dengue remains a public health threat. Clarifying the characteristics of future threats and prioritizing intervention towards the highest risk potential can help to control and prevent dengue outbreaks. However, obtaining a consensus from panels of experts is certainly challenging due to the relative subjectivity of experience. Therefore, this article incorporates the fuzzy Delphi method (FDM) within a nominal group technique (NGT) as a multicriteria decision-making tool for (1) describing the characteristics of socioecological attributes (SEAs) with a high risk of causing dengue outbreak and (2) ranking those SEAs as priorities for intervention. Material and Methods. Experts were recruited using a purposive sampling technique. Informed consent was obtained before the start of the study. The NGT process began with an introductory presentation of dengue SEA by the moderator, followed by “silent generation.” Next, each participant provided information in a round-robin fashion. Ideas were collected by the moderator and displayed publicly. All experts were given ample time and space to contribute and justify their ideas without interruption during the discussion step to yield agreeable SEA characteristics. Ultimately, FDM was incorporated in the voting step to ensure rigorous analysis. The study was approved by an ethical committee before its commencement. Results. A total of 10 field experts participated in the study, with a median experience of 7.5 years working on a dengue team. The common characteristics of SEA prone to cause dengue outbreaks were the presence of human-made containers, in high quantities, left unattended, and covered from direct sunlight. Apart from that, all eight SEAs passed the triangulation of fuzzy numbers and defuzzification processes. The average fuzzy numbers ranged between 0.500 and 0.780, and the threshold value () ranged from 0.055 to 0.196. Of the potential risk factors identified, experts ranked illegal dumping sites as the most important, followed by old and unused items and construction sites. Conclusion. The NGT process successfully helped to obtain a consensus among the expert panels in describing SEA characteristics. Nevertheless, the integration of FDM offered a robust analysis that validated their ranking in dengue risk prioritization. Therefore, we strongly recommend the application of FDM to be incorporated in any public health decision-making process. |
| format | Article |
| id | my.ums.eprints-29152 |
| institution | Universiti Malaysia Sabah |
| language | en en |
| publishDate | 2022 |
| publisher | Hindawi |
| record_format | eprints |
| spelling | my.ums.eprints-291522022-08-09T01:56:25Z https://eprints.ums.edu.my/id/eprint/29152/ “Best of Both World”: the amalgamation of fuzzy delphi method with nominal group technique for dengue risk prioritisation decision-making Mohd‘Ammar Ihsan Ahmad Zamzuri Nurul Athirah Naserrudin Noor Khalili Mohd Ali Suriyati Abd Aziz Mohammad Faid Abd. Rashid Rahmat Dapari Abdul Rahman Ramdzan Rozita Hod Mohd Rohaizat Hassan RA421-790.95 Public health. Hygiene. Preventive medicine Introduction. Dengue remains a public health threat. Clarifying the characteristics of future threats and prioritizing intervention towards the highest risk potential can help to control and prevent dengue outbreaks. However, obtaining a consensus from panels of experts is certainly challenging due to the relative subjectivity of experience. Therefore, this article incorporates the fuzzy Delphi method (FDM) within a nominal group technique (NGT) as a multicriteria decision-making tool for (1) describing the characteristics of socioecological attributes (SEAs) with a high risk of causing dengue outbreak and (2) ranking those SEAs as priorities for intervention. Material and Methods. Experts were recruited using a purposive sampling technique. Informed consent was obtained before the start of the study. The NGT process began with an introductory presentation of dengue SEA by the moderator, followed by “silent generation.” Next, each participant provided information in a round-robin fashion. Ideas were collected by the moderator and displayed publicly. All experts were given ample time and space to contribute and justify their ideas without interruption during the discussion step to yield agreeable SEA characteristics. Ultimately, FDM was incorporated in the voting step to ensure rigorous analysis. The study was approved by an ethical committee before its commencement. Results. A total of 10 field experts participated in the study, with a median experience of 7.5 years working on a dengue team. The common characteristics of SEA prone to cause dengue outbreaks were the presence of human-made containers, in high quantities, left unattended, and covered from direct sunlight. Apart from that, all eight SEAs passed the triangulation of fuzzy numbers and defuzzification processes. The average fuzzy numbers ranged between 0.500 and 0.780, and the threshold value () ranged from 0.055 to 0.196. Of the potential risk factors identified, experts ranked illegal dumping sites as the most important, followed by old and unused items and construction sites. Conclusion. The NGT process successfully helped to obtain a consensus among the expert panels in describing SEA characteristics. Nevertheless, the integration of FDM offered a robust analysis that validated their ranking in dengue risk prioritization. Therefore, we strongly recommend the application of FDM to be incorporated in any public health decision-making process. Hindawi 2022 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/29152/1/%E2%80%9CBest%20of%20Both%20World%E2%80%9D_%20the%20amalgamation%20of%20fuzzy%20delphi%20method%20with%20nominal%20group%20technique%20for%20dengue%20risk%20prioritisation%20decision-making.pdf text en https://eprints.ums.edu.my/id/eprint/29152/2/%E2%80%9CBest%20of%20Both%20World%E2%80%9D_%20the%20amalgamation%20of%20fuzzy%20delphi%20method%20with%20nominal%20group%20technique%20for%20dengue%20risk%20prioritisation%20decision-making%20_ABSTRACT.pdf Mohd‘Ammar Ihsan Ahmad Zamzuri and Nurul Athirah Naserrudin and Noor Khalili Mohd Ali and Suriyati Abd Aziz and Mohammad Faid Abd. Rashid and Rahmat Dapari and Abdul Rahman Ramdzan and Rozita Hod and Mohd Rohaizat Hassan (2022) “Best of Both World”: the amalgamation of fuzzy delphi method with nominal group technique for dengue risk prioritisation decision-making. Journal of Function Spaces, 2022. pp. 1-8. ISSN 2314-8896 https://downloads.hindawi.com/journals/jfs/2022/9581367.pdf https://doi.org/10.1155/2022/9581367 https://doi.org/10.1155/2022/9581367 |
| spellingShingle | RA421-790.95 Public health. Hygiene. Preventive medicine Mohd‘Ammar Ihsan Ahmad Zamzuri Nurul Athirah Naserrudin Noor Khalili Mohd Ali Suriyati Abd Aziz Mohammad Faid Abd. Rashid Rahmat Dapari Abdul Rahman Ramdzan Rozita Hod Mohd Rohaizat Hassan “Best of Both World”: the amalgamation of fuzzy delphi method with nominal group technique for dengue risk prioritisation decision-making |
| title | “Best of Both World”: the amalgamation of fuzzy delphi method with nominal group technique for dengue risk prioritisation decision-making |
| title_full | “Best of Both World”: the amalgamation of fuzzy delphi method with nominal group technique for dengue risk prioritisation decision-making |
| title_fullStr | “Best of Both World”: the amalgamation of fuzzy delphi method with nominal group technique for dengue risk prioritisation decision-making |
| title_full_unstemmed | “Best of Both World”: the amalgamation of fuzzy delphi method with nominal group technique for dengue risk prioritisation decision-making |
| title_short | “Best of Both World”: the amalgamation of fuzzy delphi method with nominal group technique for dengue risk prioritisation decision-making |
| title_sort | “best of both world”: the amalgamation of fuzzy delphi method with nominal group technique for dengue risk prioritisation decision-making |
| topic | RA421-790.95 Public health. Hygiene. Preventive medicine |
| url | https://eprints.ums.edu.my/id/eprint/29152/1/%E2%80%9CBest%20of%20Both%20World%E2%80%9D_%20the%20amalgamation%20of%20fuzzy%20delphi%20method%20with%20nominal%20group%20technique%20for%20dengue%20risk%20prioritisation%20decision-making.pdf https://eprints.ums.edu.my/id/eprint/29152/2/%E2%80%9CBest%20of%20Both%20World%E2%80%9D_%20the%20amalgamation%20of%20fuzzy%20delphi%20method%20with%20nominal%20group%20technique%20for%20dengue%20risk%20prioritisation%20decision-making%20_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/29152/ https://downloads.hindawi.com/journals/jfs/2022/9581367.pdf https://doi.org/10.1155/2022/9581367 https://doi.org/10.1155/2022/9581367 |
| url_provider | http://eprints.ums.edu.my/ |