Estimating Time and Size of Bioterror Attack

Details

• Alternative Title:
  Emerg Infect Dis
• Personal Author:
  Walden, Johan ; Kaplan, Edward H.
• Description:
  In the event of a bioterror attack, rapidly estimating the size and time of attack enables short-run forecasts of the number of persons who will be symptomatic and require medical care. We present a Bayesian approach to this problem for use in real time and illustrate it with data from a simulated anthrax attack. The method is simple enough to be implemented in a spreadsheet.
• Subjects:
  Anthrax Bayesian Analysis Bayesian Forecast Bayes Theorem Bioterrorism Disease Outbreaks Humans Models, Biological Perspective Surveillance Time Factors

  More +
• Source:
  Emerg Infect Dis. 10(7):1202-1205.
• Document Type:
  Journal Article
• Volume:
  10
• Issue:
  7
• Collection(s):
  Emerging Infectious Diseases
• Main Document Checksum:
  urn:sha256:3d312df38ed1bebd1951442773cd82690dc41a1412787142f34cd5cbbcebaeb9
• Download URL:
  https://stacks.cdc.gov/view/cdc/14460/cdc_14460_DS1.pdf
• File Type:
  [PDF - 78.26 KB ]