Physics Colloquium: Monitoring Disease Outbreaks, Including the Dynamics of COVID-19

This webinar will feature Mauricio Santillana and be hosted by Northeastern University’s College of Science.Learn more about the event here. Join here.

“Abstract: I will describe data-driven machine learning methodologies that leverage Internet-based information from search engines, Twitter microblogs, crowd-sourced disease surveillance systems, electronic medical records, and weather information to successfully monitor and forecast disease outbreaks in multiple locations around the globe in near real-time. I will present how these approaches can be used to build early warning systems to anticipate COVID-19 outbreaks.”