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

• Main Authors: Jamil, Jastini, Mohd Shaharanee, Izwan Nizal, Ve, Chun Yung
• Format: Article
• Language: English
• Published: Universiti Teknikal Malaysia Melaka 2016
• Subjects: QA75 Electronic computers. Computer science; RA0421 Public health. Hygiene. Preventive Medicine
• Online Access: http://repo.uum.edu.my/20522/1/JTEC%208%2010%202016%209%2012.pdf; http://repo.uum.edu.my/20522/; http://journal.utem.edu.my/index.php/jtec/article/view/1358

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.