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Title page for etd-0827118-151023


URN etd-0827118-151023 Statistics This thesis had been viewed 115 times. Download 0 times.
Author Yu-Chung Chang
Author's Email Address No Public.
Department Information Management
Year 2017 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 38
Title Implementation of an Information System for Epidemic Alert ─ By Example of Monitoring Dengue Vector Development
Keyword
  • dengue
  • open data
  • predictive system
  • geographic information system (GIS)
  • environmental factor
  • environmental factor
  • geographic information system (GIS)
  • predictive system
  • open data
  • dengue
  • Abstract The purpose of this study is to develop an information system to predict spatial/temporal mosquito reproduction and disease outbreaks. Dengue fever has been studied since 200 years ago. There is no effective remedy or vaccine to control it. As a result, it can only be tackled by isolation, control, wiping out and other administrative methods. In order to monitor a region where there is a possibility of recurrence of dengue fever, the construction of a predictive information system would help the authority control disease outbreaks.
    The data used in this research are mainly dengue vector density indexes and daily meteorological information between 2010 and 2015 acquired from Taiwan Government Open Data Platform. The spatial/temporal relationships between larval density and dengue outbreaks were analyzed based on these historic data. The results were displayed on geographic information systems to facilitate convenient visualization. Finally, the information was presented on frontend page to support the authority for disease control and decision-making.
    This study makes use of climate and geographic information as the basis for the analytic model to forecast possible epidemic outbreaks in the next several days. This approach can be applied to other application areas such as influenza alerts. It could improve the effectiveness of disease prevention and reduce pandemic risk.
    Advisor Committee
  • Patrick S. Chen - advisor
  • Ching-Tsan Tsai - co-chair
  • Yucheng Kao - co-chair
  • Files indicate in-campus access immediately and off-campus access at one year
    Date of Defense 2018-06-12 Date of Submission 2018-08-28


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