Details:

Alternative Title:
Emerg Infect Dis
Personal Author:
Hutwagner, Lori ; Browne, Timothy ; Seeman, G. Matthew ; Fleischauer, Aaron T.
Hutwagner, Lori ; Browne, Timothy ; Seeman, G. Matthew ; Fleischauer, Aaron T. Less -
Description:
We compared aberration detection methods requiring historical data to those that require little background by using simulated data. Methods that require less historical data are as sensitive and specific as those that require 3-5 years of data. These simulations can determine which method produces appropriate sensitivity and specificity.
Subjects:
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Computer Simulation Data Interpretation, Statistical Disease Outbreaks Dispatch Humans Population Surveillance Public Health Informatics
Source:
Emerg Infect Dis. 11(2):314-316.
Document Type:
Journal Article
Collection(s):
Emerging Infectious Diseases
Main Document Checksum:
[+]
urn:sha256:6f89769d8a05aebbdc147c62d6a3b62a1603dc56bc7e64a1090a5640411e936b
Download URL:
https://stacks.cdc.gov/view/cdc/7815/cdc_7815_DS1.pdf
File Type:

Supporting Files

• 	04-0587-F.gif	gif
  	04-0587-F.jpg	jpeg
  	04-0587.nxml	txt
  	license.txt	txt

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