A practical method for surveillance of novel H1N1 influenza using automated hospital data

Teena Chopra, Juliann Binienda, Mazin Mohammed, Rushyal Shyamraj, Patrick Long, David Bach, Cristi Carlton, Susan Peters, Paul Lephart, George Alangaden, Sorabh Dhar, Dror Marchaim, Michelle Schreiber, Keith S. Kaye

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We report a surveillance method for influenza that is based on automated hospital laboratory and pharmacy data. During the 2009 H1N1 influenza pandemic, this method was objective, easy to perform, and utilized readily available automated hospital data. This surveillance method produced results that correlated strongly with influenza-like illness surveillance data.

Original languageEnglish (US)
Pages (from-to)700-702
Number of pages3
JournalInfection Control and Hospital Epidemiology
Volume32
Issue number7
DOIs
StatePublished - Jul 2011
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Microbiology (medical)
  • Infectious Diseases

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