Abstract
This project aimed to develop a mobile application for visualization of the Dengue Hemorrhagic Fever (DHF) epidemic, by displaying the information and graph of the DHF epidemic in areas and to provide prediction of the DHF epidemic in Mueang District Surat Thani Province, Thailand. The weekly DHF cases were obtained from Surat Thani Provincial Public Health Office from January 2008 to April 2016. The application was developed by using Cordova platform, programming was completed with HTML5, JavaScripts, PHP, SQL, and JSON. The visualization of the DHF epidemic was completed with Augmented Reality (AR) technology. Google Map, Google Place, and Google Chart APIs were used for data representation of the DHF epidemic on Google Map™. Mathematica and WebMathematica technology were used to develop a Time Series model for DHF prediction. The results showed that this application can be used via mobile devices on both iOS and Android operating system. The system allowed the users to visualize the DHF epidemic with AR. The DHF cases are shown as a bar chart on Google Map™. The different colors (gray, green, yellow, orange and red colors) of a marker in Google Map™ indicated the level of the DHF epidemic in the area. Moreover, the Time Series model was prepared a prediction of DHF cases in the area. This application could be used for monitoring the DHF epidemic and preparing for a health prevention campaign to protect against the DHF epidemic in the area. The information is useful to support the related organization for efficient planning regarding policies on DHF protection.
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Acknowledgment
The researchers would like to thank Robert James Santos for comments on previous versions of this manuscript. This research was financially supported by Prince of Songkla University, Surat Thani Campus, 2015.
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Kajornkasirat, S., Muangprathub, J., Rachpibool, N., Phomnui, N. (2018). Real-Time Analytics and Visualization: Dengue Hemorrhagic Fever Epidemic Applying Mobile Augmented Reality. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10960. Springer, Cham. https://doi.org/10.1007/978-3-319-95162-1_54
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