A bayesian system to detect and track outbreaks of influenza-like illnesses including novel diseases: algorithm development and validation

HIGHLIGHTS

• What: This approach has the advantages of both broad coverage (nearly every community in the United_States is served by some ED) and the use of clinical information (including chief complaints, vital signs, clinical findings, etc.). The work described uses a Fisher`s exact test to identify anomalous clinical terms in an 8-hour block of current chief complaints compared to a 30-day sliding baseline. The authors describe how the authors compute each of these quantities below. This work has some important limitations that the authors plan to address in the future.
• Who: Aronis et . . .
  

   

  

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