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Automated detection of influenza-like illness using clinical surveillance markers at a Department of Veterans Affairs Medical Center.

Publication ,  Journal Article
Park, LP; Rao, S; Nabity, SA; Abbott, D; Frederick, J; Woods, CW
Published in: Emerg Health Threats J
April 20, 2011

BACKGROUND: Using demographic and clinical measures from emergency department evaluations, we developed an automated surveillance system for influenza-like illness (ILI). METHODS: We selected a random sample of patients who were seen at the Durham, NC Veterans Affairs Medical Center between May 2002 and October 2009 with fever or a respiratory ICD-9 diagnosis code and divided this into subsets for system development and validation. Comprehensive chart reviews identified patients who met a standard case definition for ILI. Logistic regression models predicting ILI were fit in the development sample. We applied the parameter estimates from these models to the validation sample and evaluated their utility using receiver-operator characteristic analysis. RESULTS: The models discriminated ILI very well in the validation sample; the C-statistics were >0.89. CONCLUSIONS: Risk estimates based on statistical models can be incorporated into electronic medical records systems to assist clinicians and could be used in real-time surveillance for disease outbreaks.

Duke Scholars

Published In

Emerg Health Threats J

DOI

ISSN

1752-8550

Publication Date

April 20, 2011

Volume

4

Start / End Page

7108

Location

Sweden

Related Subject Headings

  • 4206 Public health
  • 4202 Epidemiology
  • 1117 Public Health and Health Services
  • 1103 Clinical Sciences
  • 0605 Microbiology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Park, L. P., Rao, S., Nabity, S. A., Abbott, D., Frederick, J., & Woods, C. W. (2011). Automated detection of influenza-like illness using clinical surveillance markers at a Department of Veterans Affairs Medical Center. Emerg Health Threats J, 4, 7108. https://doi.org/10.3402/ehtj.v4i0.7108
Park, Lawrence P., Supriya Rao, Scott A. Nabity, David Abbott, Joyce Frederick, and Christopher W. Woods. “Automated detection of influenza-like illness using clinical surveillance markers at a Department of Veterans Affairs Medical Center.Emerg Health Threats J 4 (April 20, 2011): 7108. https://doi.org/10.3402/ehtj.v4i0.7108.
Park LP, Rao S, Nabity SA, Abbott D, Frederick J, Woods CW. Automated detection of influenza-like illness using clinical surveillance markers at a Department of Veterans Affairs Medical Center. Emerg Health Threats J. 2011 Apr 20;4:7108.
Park, Lawrence P., et al. “Automated detection of influenza-like illness using clinical surveillance markers at a Department of Veterans Affairs Medical Center.Emerg Health Threats J, vol. 4, Apr. 2011, p. 7108. Pubmed, doi:10.3402/ehtj.v4i0.7108.
Park LP, Rao S, Nabity SA, Abbott D, Frederick J, Woods CW. Automated detection of influenza-like illness using clinical surveillance markers at a Department of Veterans Affairs Medical Center. Emerg Health Threats J. 2011 Apr 20;4:7108.

Published In

Emerg Health Threats J

DOI

ISSN

1752-8550

Publication Date

April 20, 2011

Volume

4

Start / End Page

7108

Location

Sweden

Related Subject Headings

  • 4206 Public health
  • 4202 Epidemiology
  • 1117 Public Health and Health Services
  • 1103 Clinical Sciences
  • 0605 Microbiology