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

Description

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.

Submitted by elamb on