Stories about: Maurice Santillana

Using multiple data streams and artificial intelligence to ‘nowcast’ local flu outbreaks

(PHOTO: ADOBESTOCK)

Because influenza is so contagious, it’s been challenging to track and forecast flu activity in real time as people move about and travel. While the CDC continuously monitors patient visits for flu-like illness in the U.S., its information can lag by up to two weeks. A new study led by the Computational Health Informatics Program (CHIP) at Boston Children’s Hospital combined multiple approaches, providing what appear to be the most accurate local flu predictions to date.

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