4. Alerting Algorithms for Biosurveillance

  1. Joseph S. Lombardo1 and
  2. David L. Buckeridge2

Published Online: 2 NOV 2006

DOI: 10.1002/9780470131886.ch4

Disease Surveillance: A Public Health Informatics Approach

Disease Surveillance: A Public Health Informatics Approach

How to Cite

Lombardo, J. S. and Buckeridge, D. L. (eds) (2007) Alerting Algorithms for Biosurveillance, in Disease Surveillance: A Public Health Informatics Approach, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470131886.ch4

Editor Information

  1. 1

    The Johns Hopkins University, Applied Physics Laboratory, Laurel, Maryland

  2. 2

    McGill University, Montreal, Quebec, Canada

Publication History

  1. Published Online: 2 NOV 2006
  2. Published Print: 30 MAR 2007

ISBN Information

Print ISBN: 9780470068120

Online ISBN: 9780470131886

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Keywords:

  • alerting algorithms;
  • biosurveillance;
  • infected population;
  • denominator problem;
  • algorithmic processing

Summary

This chapter contains sections titled:

  • Need for Statistical Alerting Algorithms

  • Features of Alerting Algorithms

  • Outbreak Detection as a Signal-to-Noise Problem

  • Algorithms Based on Time-Series Data

  • Spatiotemporal Alerting Methods

  • Methods Considering Multiple Data Sources

  • Study Questions

  • References