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A Practical Method for Surveillance of Novel H1N1 Influenza Using Automated Hospital Data

  • Teena Chopra (a1), Juliann Binienda (a1), Mazin Mohammed (a1), Rushyal Shyamraj (a1), Patrick Long (a1), David Bach (a1), Cristi Carlton (a2), Susan Peters (a2), Paul Lephart (a1), George Alangaden (a1), Sorabh Dhar (a1), Dror Marchaim (a1), Michelle Schreiber (a1) and Keith S. Kaye (a1)...

Extract

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.

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Corresponding author

Division of Infectious Diseases, 5 Hudson, Harper University Hospital, 3990 John R. Street, Detroit, MI, 48201 (tchopra@med.wayne.edu)

References

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A Practical Method for Surveillance of Novel H1N1 Influenza Using Automated Hospital Data

  • Teena Chopra (a1), Juliann Binienda (a1), Mazin Mohammed (a1), Rushyal Shyamraj (a1), Patrick Long (a1), David Bach (a1), Cristi Carlton (a2), Susan Peters (a2), Paul Lephart (a1), George Alangaden (a1), Sorabh Dhar (a1), Dror Marchaim (a1), Michelle Schreiber (a1) and Keith S. Kaye (a1)...

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