Comparison of Aberration Detection Algorithms for Biosurveillance Systems

Authors

  • Hong Zhou CDC, Atlanta, GA, United States
  • Howard Burkom John Hopkins Applied Physics Laboratory, Washington DC, MD, United States
  • Carla Winston Veterans Health administration, Palo Alto, CA, United States
  • Umed Ajani CDC, Atlanta, GA, United States

DOI:

https://doi.org/10.5210/ojphi.v6i1.5062

Abstract

We compared several aberration detection algorithms using data from the Biosense 1.0 system account for total facility visits and background day-of-week effects.

Author Biography

Hong Zhou, CDC, Atlanta, GA, United States

Ms. Hong Zhou has worked as a statistician at CDC since January 2007. Her special interest has been on statistical modeling and data analysis for infectious diseases. Her current focus is in the study of aberration detection algorithms.

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Published

2014-03-09

How to Cite

Zhou, H., Burkom, H., Winston, C., & Ajani, U. (2014). Comparison of Aberration Detection Algorithms for Biosurveillance Systems. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5062

Issue

Section

Poster Presentations