Dr. Mauricio Santillana
Harvard University
Title: Characterizing the dynamics of COVID-19 transmission using multiple mathematical approaches and novel data sources.

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.