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A Bayesian System to Detect and Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases: Algorithm Development and Validation.

John M AronisYe YeJeremy U EspinoHarry HochheiserMarian G MichaelsGregory F Cooper
Published in: JMIR public health and surveillance (2024)
 The results reported in this paper provide support that ILI Tracker was able to track well the incidence of 4 modeled influenza-like diseases over a 1-year period, relative to laboratory-confirmed cases, and it was computationally efficient in doing so. The system was also able to detect a likely novel outbreak of EV-D68 early in an outbreak that occurred in Allegheny County in 2014 as well as clinically characterize that outbreak disease accurately.
Keyphrases
  • machine learning
  • deep learning
  • infectious diseases