An innovative data mining and dashboard system for monitoring of Malaysian dengue trends
Monitoring dengue fever become an important task in reducing dengue outbreaks crisis. These monitoring tasks offered the stakeholder such as the Ministry of Health Malaysia (MOH) well informed status of the dengue fever. There are abundant dengue cases reported in Malaysia including mortality record...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universiti Teknikal Malaysia Melaka
2016
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| Online Access: | https://repo.uum.edu.my/id/eprint/20522/1/JTEC%208%2010%202016%209%2012.pdf |
| _version_ | 1825804385510227968 |
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| author | Jamil, Jastini Mohd Shaharanee, Izwan Nizal Ve, Chun Yung |
| author_facet | Jamil, Jastini Mohd Shaharanee, Izwan Nizal Ve, Chun Yung |
| author_sort | Jamil, Jastini |
| collection | UUM |
| description | Monitoring dengue fever become an important task in reducing dengue outbreaks crisis. These monitoring tasks offered the stakeholder such as the Ministry of Health Malaysia (MOH) well informed status of the dengue fever. There are abundant dengue cases reported in Malaysia including mortality recorded over the past year. Data from Malaysian Open Data portal reveals, 21,900 cases of dengue fever were reported in 2012 with 35 deaths.However, this information are dispersed and circulated among several ministry and stakeholder.As such, information regarding the dengue outbreak belongs to MOH, while the information of population and density belong to another stakeholder.Putting this information into one monitoring system required an innovative system that capable to extract many data and information from several databases and capable to summarize these data into meaningful information. Knowing the dangerous effect of dengue fever, thus one of the solutions is to implement an innovative forecasting and dashboard system of dengue spread in Malaysia, with emphasize on an early prediction of dengue outbreak.Importantly, this research will deliver the message to health policy makers such as The Ministry of Health Malaysia (MOH), practitioners, and researchers of the importance to integrate their collaboration in exploring the potential strategies in order to reduce the future burden of the increase in dengue transmission cases in Malaysia. |
| first_indexed | 2024-07-04T06:13:41Z |
| format | Article |
| id | uum-20522 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:13:41Z |
| publishDate | 2016 |
| publisher | Universiti Teknikal Malaysia Melaka |
| record_format | eprints |
| spelling | uum-205222017-01-04T01:32:36Z https://repo.uum.edu.my/id/eprint/20522/ An innovative data mining and dashboard system for monitoring of Malaysian dengue trends Jamil, Jastini Mohd Shaharanee, Izwan Nizal Ve, Chun Yung QA75 Electronic computers. Computer science RA0421 Public health. Hygiene. Preventive Medicine Monitoring dengue fever become an important task in reducing dengue outbreaks crisis. These monitoring tasks offered the stakeholder such as the Ministry of Health Malaysia (MOH) well informed status of the dengue fever. There are abundant dengue cases reported in Malaysia including mortality recorded over the past year. Data from Malaysian Open Data portal reveals, 21,900 cases of dengue fever were reported in 2012 with 35 deaths.However, this information are dispersed and circulated among several ministry and stakeholder.As such, information regarding the dengue outbreak belongs to MOH, while the information of population and density belong to another stakeholder.Putting this information into one monitoring system required an innovative system that capable to extract many data and information from several databases and capable to summarize these data into meaningful information. Knowing the dangerous effect of dengue fever, thus one of the solutions is to implement an innovative forecasting and dashboard system of dengue spread in Malaysia, with emphasize on an early prediction of dengue outbreak.Importantly, this research will deliver the message to health policy makers such as The Ministry of Health Malaysia (MOH), practitioners, and researchers of the importance to integrate their collaboration in exploring the potential strategies in order to reduce the future burden of the increase in dengue transmission cases in Malaysia. Universiti Teknikal Malaysia Melaka 2016 Article PeerReviewed application/pdf en cc_by https://repo.uum.edu.my/id/eprint/20522/1/JTEC%208%2010%202016%209%2012.pdf Jamil, Jastini and Mohd Shaharanee, Izwan Nizal and Ve, Chun Yung (2016) An innovative data mining and dashboard system for monitoring of Malaysian dengue trends. Journal of Telecommunication, Electronic and Computer Engineering, 8 (10). pp. 9-12. ISSN 2180-1843 http://journal.utem.edu.my/index.php/jtec/article/view/1358 |
| spellingShingle | QA75 Electronic computers. Computer science RA0421 Public health. Hygiene. Preventive Medicine Jamil, Jastini Mohd Shaharanee, Izwan Nizal Ve, Chun Yung An innovative data mining and dashboard system for monitoring of Malaysian dengue trends |
| title | An innovative data mining and dashboard system for monitoring of Malaysian dengue trends |
| title_full | An innovative data mining and dashboard system for monitoring of Malaysian dengue trends |
| title_fullStr | An innovative data mining and dashboard system for monitoring of Malaysian dengue trends |
| title_full_unstemmed | An innovative data mining and dashboard system for monitoring of Malaysian dengue trends |
| title_short | An innovative data mining and dashboard system for monitoring of Malaysian dengue trends |
| title_sort | innovative data mining and dashboard system for monitoring of malaysian dengue trends |
| topic | QA75 Electronic computers. Computer science RA0421 Public health. Hygiene. Preventive Medicine |
| url | https://repo.uum.edu.my/id/eprint/20522/1/JTEC%208%2010%202016%209%2012.pdf |
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