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Related Experiment Videos

An evaluation model for syndromic surveillance: assessing the performance of a temporal algorithm.

David L Buckeridge1, P Switzer, D Owens

  • 1Palo Alto Veterans Health Care, Palo Alto, California, USA. david.buckeridge@stanford.edu

MMWR Supplements
|September 24, 2005
PubMed
Summary

Syndromic surveillance can detect inhalational anthrax attacks within 3-4 days if over 10,000 people are infected. Detection sensitivity and timeliness decrease with fewer infected individuals, impacting public health response effectiveness.

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Area of Science:

  • Public Health
  • Epidemiology
  • Biosecurity

Background:

  • Syndromic surveillance systems are crucial for early detection of bioterrorism-related outbreaks.
  • Limited evidence exists on the actual performance of these systems in outbreak detection scenarios.

Purpose of the Study:

  • To model inhalational anthrax case simulations following an aerosol release.
  • To evaluate the effectiveness of syndromic surveillance in detecting such an outbreak.

Main Methods:

  • Simulated disease progression and healthcare-seeking behavior for anthrax-infected individuals.
  • Integrated simulated cases with real surveillance data to create test datasets.
  • Applied a temporal outbreak detection algorithm to assess sensitivity and timeliness.

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Main Results:

  • Earliest detection occurred within 2 days post-release, correlating with higher infection numbers.
  • Detection performance declined with a lower proportion of individuals seeking care during the prodromal phase.
  • Shorter incubation periods (≤5 days) enabled detection as early as 1 day post-release.

Conclusions:

  • Syndromic surveillance detected simulated anthrax attacks within 3-4 days when over 10,000 individuals were infected.
  • Detection timeliness and sensitivity were inversely related to the number of infected persons, highlighting system limitations for smaller-scale events.