Optimizing Use of Multistream Influenza Sentinel Surveillance Data

Details

• Journal Article:
  Emerging Infectious Diseases
• Personal Author:
  Lau, Eric H. Y. ; Cowling, Benjamin J. ; Ho, Lai-Ming ; Leung, Gabriel M.
• Description:
  We applied time-series methods to multivariate sentinel surveillance data recorded in Hong Kong during 1998-2007. Our study demonstrates that simultaneous monitoring of multiple streams of influenza surveillance data can improve the accuracy and timeliness of alerts compared with monitoring of aggregate data or of any single stream alone.
• Subjects:
  • Dispatch
  • Sentinel surveillance
  • influenza
  • multivariate analysis
  • dispatch
  • Hong Kong
  • Humans
  • Influenza, Human
  • Regression Analysis
  • Sensitivity and Specificity
  More +
• Source:
  Emerg Infect Dis. 14(7):1154-1157.
• ISSN:
  1080-6059 (online) ; 1080-6040 (print)
• Publisher:
  Centers for Disease Control and Prevention (CDC) (U.S.)
• Document Type:
  Text
• Genre:
  Journal Article
• License:
  https://creativecommons.org/publicdomain/zero/1.0/
• Rights:
  Open Access
• CIO:
  National Center for Emerging and Zoonotic Infectious Diseases (NCEZID)
• Division:
  Emerging Infectious Diseases (EID)
• Topic:
  Diseases & Conditions
• Volume:
  14
• Issue:
  7
• Download URL:
  https://stacks.cdc.gov/view/cdc/17183/cdc_17183_DS1.pdf
• File Type:
  [PDF - 348.70 KB]
• Collection(s):
  Emerging Infectious Diseases
• Main Document Checksum:
  urn:sha-512:6423482c15cc862c5789dd528d13535a555ec489e41d62cec0d493ce1b69060215c8ad14dd1da9ff824ce3057975c9eabb29a4b7c5a4e2a1b9927240b6e6fc1b