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:
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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:

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