Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics.
Objective To compare the results of BioSense and Louisiana syndrome classifications for influenza-like-illness, gastrointestinal, and upper respiratory infections applied to Louisiana emergency department data.
IDEpi has the capability to define and change syndrome definitions in LEEDS based on surveillance needs and quality assurance activities.
The syndrome results were also split into the age groups used by the BioSense front-end application and Pearson correlation coefficients were calculated for each syndrome age group pair.
The Early Aberration Reporting System EARS C2 method was applied to all syndrome results to examine if alerts were generated during corresponding weeks for each syndrome pair. Conclusions The results of BioSense and LEEDS syndrome classifications for influenza-like-illness, gastrointestinal, and upper respiratory infections applied to Louisiana emergency department syndromic surveillance data were highly correlated for each syndrome however the syndrome percentage means were significantly different for each syndrome pair.
Therefore, while percentages of total visits attributed to a syndrome as a measurement of syndrome burden may not be comparable, trends over time are comparable. In addition, the majority of C2 alerts were generated on corresponding weeks for each syndrome pair, providing confidence in the use of C2 applied to current syndrome definition results as a means of aberration detection.
As public health jurisdictions work towards developing common syndrome classifications to increase data comparability across jurisdictions, this analysis provides evidence that the current differences in syndrome definitions between jurisdictions may not hinder comparability of trends over time.Find helpful customer reviews and review ratings for Brookstone BioSense Travel Pillow at regardbouddhiste.com Read honest and unbiased product reviews from our users.
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