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Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. Type 508 Accommodation and the title of the report in the subject line of e-mail. Correlation of West Nile Virus Infection with Emergency Department Chief Complaints by Using a Passive Syndromic Surveillance ModelJohn Flaherty, M. Gillam
Corresponding author: John Flaherty, Evanstone Northwestern Healthcare, 2650 Ridge Rd., Evanston, IL 60201. Telephone: 847-570-2114; Fax: 847-634-1693; E-mail: jjflaherty@northwestern.edu. AbstractIntroduction: West Nile virus infection appeared diffusely in Illinois in 2002, with >800 cases and 63 deaths. This number of confirmed cases was the highest in the nation and resulted in triple the number of deaths of any other state. Objectives: This study used a passive syndromic surveillance model to analyze emergency department (ED) patient chief complaints of fever and headache, influenza-related symptoms, and viral syndrome, and correlate these data with known West Nile virus cases and with the epidemic curve of confirmed cases in northern Illinois. Methods: A passive syndromic surveillance system using a computerized patient log was implemented. A retrospective cohort study used structured query language (SQL) queries to search for patient chief complaints of fever and headache, influenza-related symptoms, or viral syndrome. Positive matches were compiled in a graphical and geographic database. Results: SQL queries revealed a biphasic distribution, with a first peak corresponding to influenza cases during the second week of February and a second unexpected peak during the second week of September 2002 (Figure). Geocoding and frequency analysis matched the confirmed outbreak. A majority of these patients were discharged, and no deaths occurred. IgM serology was positive in 5% of cases. Statistical analysis determined no significant differences in distribution and a coefficient of determination of 0.67. Conclusion: Passive syndromic surveillance systems can retrospectively detect West Nile virus infection. The system was able to detect an increase in syndromic cases in the ED during a confirmed outbreak of West Nile virus. Further study is needed to quantify this effect. Serologic confirmation will also aid in validation. Figure Return to top.
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