Details:

Alternative Title:
Emerg Infect Dis
Personal Author:
Walden, Johan ; Kaplan, Edward H.
Walden, Johan ; Kaplan, Edward H. Less -
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.
Subject:
[+]
Anthrax
Bayesian Analysis
Bayesian Forecast
Bayes Theorem
Bioterrorism
Disease Outbreaks
Humans
Models, Biological
Perspective
Surveillance
Time Factors

Source:
Emerg Infect Dis. 10(7):1202-1205.
Document Type:
Journal Article
Collection(s):
Emerging Infectious Diseases
Main Document Checksum:
[+]
urn:sha256:3d312df38ed1bebd1951442773cd82690dc41a1412787142f34cd5cbbcebaeb9
File Type:

Supporting Files

• 	03-0632-FA2.gif	gif
  	03-0632-FA2.jpg	jpeg
  	03-0632-M1.jpg	jpeg
  	03-0632-M10.jpg	jpeg
  	03-0632-M11.jpg	jpeg
  	03-0632-M12.jpg	jpeg
  	03-0632-M2.jpg	jpeg
  	03-0632-M3.jpg	jpeg
  	03-0632-M4.jpg	jpeg
  	03-0632-M5.jpg	jpeg
  	03-0632-F1.gif	gif
  	03-0632-M6.jpg	jpeg
  	03-0632-M7.jpg	jpeg
  	03-0632-M8.jpg	jpeg
  	03-0632-M9.jpg	jpeg
  	03-0632.nxml	txt
  	license.txt	txt
  	03-0632-F1.jpg	jpeg
  	03-0632-F2.gif	gif
  	03-0632-F2.jpg	jpeg
  	03-0632-F3.gif	gif
  	03-0632-F3.jpg	jpeg
  	03-0632-FA1.gif	gif
  	03-0632-FA1.jpg	jpeg

More +