tetano
Editor, Senior Moderator
Am J Emerg Med. 2010 Mar 24. [Epub ahead of print]
ED syndromic surveillance for novel H1N1 spring 2009.
Bellazzini MA, Minor KD.
Division of Emergency Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA.
Abstract
PURPOSE: The aim of this study is to demonstrate the use of emergency department (ED) syndromic surveillance in the setting of a novel and unexpected H1N1 influenza outbreak.
BASIC PROCEDURES: Data collection from ED electronic medical records was used to track initial chief complaint and discharge International Classification of Diseases, Ninth Revision, codes related to influenza-like illness (ILI). An alert threshold was generated using cumulative sum sequential analysis technique. The data were retrospectively analyzed to identify alerts that correlated with novel influenza H1N1 illness.
MAIN FINDINGS: Our system alerted for ILI earlier than both the official national Centers for Disease Control and Prevention (CDC) press release for novel H1N1 and the first laboratory confirmed case in our county.
PRINCIPAL CONCLUSIONS: Emergency department syndromic surveillance can be used to detect unexpected ILI before laboratory confirmation and serve as an adjunct to traditional laboratory-guided public health alerts. Early identification may allow for more efficient laboratory testing and early implementation of respiratory isolation precautions.
PMID: 20825786 [PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/20825786
ED syndromic surveillance for novel H1N1 spring 2009.
Bellazzini MA, Minor KD.
Division of Emergency Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA.
Abstract
PURPOSE: The aim of this study is to demonstrate the use of emergency department (ED) syndromic surveillance in the setting of a novel and unexpected H1N1 influenza outbreak.
BASIC PROCEDURES: Data collection from ED electronic medical records was used to track initial chief complaint and discharge International Classification of Diseases, Ninth Revision, codes related to influenza-like illness (ILI). An alert threshold was generated using cumulative sum sequential analysis technique. The data were retrospectively analyzed to identify alerts that correlated with novel influenza H1N1 illness.
MAIN FINDINGS: Our system alerted for ILI earlier than both the official national Centers for Disease Control and Prevention (CDC) press release for novel H1N1 and the first laboratory confirmed case in our county.
PRINCIPAL CONCLUSIONS: Emergency department syndromic surveillance can be used to detect unexpected ILI before laboratory confirmation and serve as an adjunct to traditional laboratory-guided public health alerts. Early identification may allow for more efficient laboratory testing and early implementation of respiratory isolation precautions.
PMID: 20825786 [PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/20825786