24x7 Service; AnyTime; AnyWhere

An innovative data mining and dashboard system for monitoring of Malaysian dengue trends

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

[thumbnail of JTEC 8 10 2016 9 12.pdf]
Available under License Creative Commons Attribution.

Download (585kB) | Preview


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.

Item Type: Article
Uncontrolled Keywords: Dengue Fever Monitoring; Dashboard System; Knowledge Discovery; Data Mining.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: School of Quantitative Sciences
Depositing User: Mr. Jastini Mohd Jamil
Date Deposited: 04 Jan 2017 01:32
Last Modified: 04 Jan 2017 01:32

Actions (login required)

View Item View Item