tetano
Editor, Senior Moderator
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 and Keith S. Kaye
Infection Control and Hospital Epidemiology
Vol. 32, No. 7 (July 2011), pp. 700-702
(article consists of 3 pages)
Published by: The University of Chicago Press on behalf of The Society for Healthcare Epidemiology of America
DOI: 10.1086/660200
Stable URL: http://www.jstor.org/stable/10.1086/660200
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.
http://www.jstor.org/pss/10.1086/660200
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 and Keith S. Kaye
Infection Control and Hospital Epidemiology
Vol. 32, No. 7 (July 2011), pp. 700-702
(article consists of 3 pages)
Published by: The University of Chicago Press on behalf of The Society for Healthcare Epidemiology of America
DOI: 10.1086/660200
Stable URL: http://www.jstor.org/stable/10.1086/660200
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.
http://www.jstor.org/pss/10.1086/660200