Comparing Aberration Detection Methods with Simulated Data

Details

• Alternative Title:
  Emerg Infect Dis
• Personal Author:
  Hutwagner, Lori ; Browne, Timothy ; Seeman, G. Matthew ; Fleischauer, Aaron T.
• 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:
  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
• Volume:
  11
• Issue:
  2
• 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:
  [PDF - 62.82 KB ]