Reverse Engineering of a Syndrome Definition for Influenza

We report here on the use of the North Carolina Bioterrorism and Emerging Infection Prevention System (NC BEIPS, to reverse engineer a syndrome definition of influenza for the purpose of influenza surveillance.

July 30, 2018

ROC Curves in Public Health Surveillance: A First Step in Cost-Benefit Analysis

Our purpose was to develop an ROC curve for public health surveillance similar to those used in diagnostic testing. We developed syndrome surveillance algorithms with differing sensitivity and specificity in detecting the seasonal influenza (ILI) outbreak. For each algorithm we plotted: days to detect the event against the numbers of false positive alarms during the non-ILI season.

July 30, 2018

Using Age as Space: Looking for Citywide Age Clusters of Influenza

There has been much recent interest in using disease signatures to better recognize disease outbreaks. Conversely, the metrics used to describe these signatures can also be used to better characterize the outbreaks. Recent work at the New York City Department of Health has shown the ability to identify characteristic age-specific patterns during influenza outbreaks. One issue that remains is how to implement a search for such patterns using prospective outbreak detection tools such as SatScan.

July 30, 2018

Second Year of the Surveillance on Over-the-Counter Medication Sales Data in Japan

To evaluate the potential of using the sales of Over the Counter (OTC) medicines for early detection of infections of public health concern, retrospective analysis of the sales of OTC common cold medications used for influenza-like illness (ILI) has been carried out in Japan since 2003. This presentation assess correlations and predictability of OTC sales to ILI for 2004-05 influenza season and compares with the results from 2003-04 season to discuss on robustness and versatility of OTC sales surveillance.

July 30, 2018

Incorporating Wisconsin Syndromic Data in ILI Surveillance

The 2017-2018 influenza season was the first to be classified as "high severity" across all age groups since 2003.1 Influenza-like illness (ILI) peaked at 7.5%, the highest since the 2009 pandemic.1 It was also the longest season in recent history, coming in at or above the national baseline for 19 weeks.1 

January 14, 2019

Using Online Applications with R to Share Surveillance Data

Since 2009, the Cook County Department of Public Health (CCDPH) has created and disseminated weekly surveillance reports to share seasonal influenza data with the community and our healthcare partners. Surveillance data is formatted into tables and graphs using Microsoft Excel, pasted into a Word document, and shared via email listserv and our website in PDF format.

February 27, 2018


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