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High-throughput Detection Method for Influenza Virus
Published on: February 4, 2012
A practical method for surveillance of novel H1N1 influenza using automated hospital data
Teena Chopra1, Juliann Binienda, Mazin Mohammed
1Wayne State University, Detroit, Michigan, USA. hopra@med.wayne.edu
Infection Control and Hospital Epidemiology
|June 14, 2011
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.

