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Time Series Analysis and Forecasting of Dengue Using Open Data

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Advances in Visual Informatics (IVIC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9429))

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Abstract

The modeling of dengue fever cases is an important task to help public health officers to plan and prepare their resources to prevent dengue fever outbreak. In this paper, we present the time-series modeling of accumulated dengue fever cases acquired from the Malaysian Open Data Government Portal. Evaluation of the forecast for future dengue fever outbreak shows promising results, as evidence is presented for the trend and seasonal nature of dengue fever outbreaks in Malaysia.

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Author information

Authors and Affiliations

  1. Faculty of Computing and Informatics, Multimedia University, 63100, Cyberjaya, Selangor Darul Ehsan, Malaysia

    Chiung Ching Ho & Choo-Yee Ting

Authors
  1. Chiung Ching Ho
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  2. Choo-Yee Ting
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Corresponding author

Correspondence to Chiung Ching Ho .

Editor information

Editors and Affiliations

  1. Fac Info Science and Techn, Universiti Kebangsaan Malaysia, Selangor, Malaysia

    Halimah Badioze Zaman

  2. University of Cambridge, Cambridge, United Kingdom

    Peter Robinson

  3. Center for Digital Video Process, Dublin 9, Ireland

    Alan F. Smeaton

  4. Computer Science and Information Enginee, National Central University, Jhongli City, Taiwan

    Timothy K. Shih

  5. Kingston University, Kingston upon Thames, United Kingdom

    Sergio Velastin

  6. Universiti Kebangsaan Malaysia, Institute of Visual Informatics, Bangi, Malaysia

    Azizah Jaafar

  7. Universiti Kebangsaan Malaysia, Institute of Visual Informatics, Bangi, Malaysia

    Nazlena Mohamad Ali

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Ho, C.C., Ting, CY. (2015). Time Series Analysis and Forecasting of Dengue Using Open Data. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2015. Lecture Notes in Computer Science(), vol 9429. Springer, Cham. https://doi.org/10.1007/978-3-319-25939-0_5

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  • DOI: https://doi.org/10.1007/978-3-319-25939-0_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25938-3

  • Online ISBN: 978-3-319-25939-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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