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Volume 27, Issue 4, Pages 419-423 (May 2009)


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A test of syndromic surveillance using a severe acute respiratory syndrome model

David J. Wallace, MDaCorresponding Author Informationemail address, Bonnie Arquilla, DOb, Richard Heffernanc, Martin Kramer, MDd, Todd Anderson, MDb, David Bernsteinb, Michael Augenbraun, MDd

Received 4 January 2008; received in revised form 6 March 2008; accepted 13 March 2008.

Abstract 

Objectives

We describe a field simulation that was conducted using volunteers to assess the ability of 3 hospitals in a network to manage a large influx of patients with a potentially communicable disease. This drill provided the opportunity to evaluate the ability of the New York City Department of Health and Mental Hygiene's (NYC-DOHMH) emergency department chief complaint syndromic surveillance system to detect a cluster of patients with febrile respiratory illness.

Methods

The evaluation was a prospective simulation. The clinical picture was modeled on severe acute respiratory syndrome symptoms. Forty-four volunteers participated in the drill as mock patients.

Results

Records from 42 patients (95%) were successfully transmitted to the NYC-DOHMH. The electronic chief complaint for 24 (57%) of these patients indicated febrile or respiratory illness. The drill did not generate a statistical signal in the NYC-DOHMH SaTScan analysis. The 42 drill patients were classified in 8 hierarchical categories based on chief complaints: sepsis (2), cold (3), diarrhea (2), respiratory (20), fever/flu (4), vomit (3), and other (8). The number of respiratory visits, while elevated on the day of the drill, did not appear particularly unusual when compared with the 14-day baseline period used for spatial analyses.

Conclusions

This drill with a cluster of patients with febrile respiratory illness failed to trigger a signal from the NYC-DOHMH emergency department chief complaint syndromic surveillance system. This highlighted several limitations and challenges to syndromic surveillance monitoring.

a Department of Internal Medicine, Department of Emergency Medicine, Kings County Hospital Center, Brooklyn, NY, USA

b Department of Emergency Medicine, Kings County Hospital Center, Brooklyn, NY 11203, USA

c Data Analysis Unit, Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York, NY, USA

d Department of Internal Medicine, Kings County Hospital Center, Brooklyn, NY, USA

Corresponding Author InformationCorresponding author. Fax: +1 917 270 9483.

 Supported by grant number U3RMC01315 from the Health Resources and Services Administration (HRSA).

 Presented as a poster at the General Assembly of American College of Emergency Physicians (ACEP) in Seattle, Washington, October 2007.

PII: S0735-6757(08)00230-1

doi:10.1016/j.ajem.2008.03.020


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