38. Evaluation of syndromic surveillance systems that use healthcare data

  1. Nkuchia M. M'ikanatha4,
  2. Ruth Lynfield5,
  3. Chris A. Van Beneden6 and
  4. Henriette de Valk7
  1. Samuel L. Groseclose1,
  2. David L. Buckeridge2 and
  3. James W. Buehler3

Published Online: 12 MAR 2013

DOI: 10.1002/9781118543504.ch46

Infectious Disease Surveillance, Second Edition

Infectious Disease Surveillance, Second Edition

How to Cite

Groseclose, S. L., Buckeridge, D. L. and Buehler, J. W. (2013) Evaluation of syndromic surveillance systems that use healthcare data, in Infectious Disease Surveillance, Second Edition (eds N. M. M'ikanatha, R. Lynfield, C. A. Van Beneden and H. de Valk), John Wiley & Sons Ltd, Oxford, UK. doi: 10.1002/9781118543504.ch46

Editor Information

  1. 4

    Division of Infectious Disease Epidemiology, Pennsylvania Department of Health, Harrisburg, PA, USA

  2. 5

    Minnesota Department of Health, St. Paul, MN, USA

  3. 6

    Respiratory Diseases Branch, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA

  4. 7

    Infectious Disease Department, Institut de Veille Sanitaire, Saint Maurice, France

Author Information

  1. 1

    Office of Science and Public Health Practice, Office of Public Health Preparedness and Response, Centers for Disease Control and Prevention, Atlanta, GA, USA

  2. 2

    Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC, Canada

  3. 3

    Public Health Surveillance and Informatics Program Office, Office of Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, GA, USA

Publication History

  1. Published Online: 12 MAR 2013
  2. Published Print: 15 APR 2013

ISBN Information

Print ISBN: 9780470654675

Online ISBN: 9781118543504

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Keywords:

  • syndrome;
  • evaluation;
  • population surveillance, methods;
  • disease outbreaks;
  • data interpretation;
  • epidemiologic measurements

Summary

This chapter describes approaches to the evaluation of syndromic surveillance systems that use clinical or healthcare administrative data to monitor disease trends. We focus on surveillance for the detection and monitoring of disease syndromes that might be identified before diagnoses are established. Such syndromic surveillance data increasingly are being used for timely detection and early characterization of potential outbreaks due to any hazard (including bioterrorism), for public health situation awareness and as an adjunct to routine public health surveillance. The widespread adoption of increasingly sophisticated syndromic surveillance systems calls for periodic evaluation of these systems to ensure that they support public health action by complementing other surveillance efforts.