Two-stage Approach for Detecting Aberration of Influenza-like Illness

Authors

  • Ta-Chien Chan Research Center for Humanities and Social Sciences, Academia Sinica, Taipei City, Taiwan.
  • Yung-Chu Teng Institute of Statistical Science, Academia Sinica, Taipei City, Taiwan.
  • Jing-Shiang Hwang Institute of Statistical Science, Academia Sinica, Taipei City, Taiwan.

DOI:

https://doi.org/10.5210/ojphi.v6i1.5187

Abstract

This study demonstrated the innovative two-stage approach for detecting ILI aberrations from daily claim data. The timeliness and comprehensiveness of the ILI surveillance could be improved by this approach.

Author Biography

Ta-Chien Chan, Research Center for Humanities and Social Sciences, Academia Sinica, Taipei City, Taiwan.

Dr. Ta-Chien, Chan is currently an assistant research fellow at Center for Geographic Information Science, Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan. He graduated from Institute of Epidemiology, National Taiwan University. In the past working experience, he worked part-time at the National Health Research Institute (NHRI) and Centers for Disease Control in Taiwan for data analysis in environment health, GIS applications to public health and surveillance of infectious diseases and became full-time officer in Committee on Chinese Medicine and Pharmacy, Department of Health, Taiwan. The current research interests are the infectious disease surveillance and protecting geoprivacy with geomasking methods.

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Published

2014-03-09

How to Cite

Chan, T.-C., Teng, Y.-C., & Hwang, J.-S. (2014). Two-stage Approach for Detecting Aberration of Influenza-like Illness. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5187

Issue

Section

Poster Presentations