Data-driven machine learning approaches to monitor and forecast the dynamics of disease outbreaks from bill gates foundation covid 19 tests Watch Video

⏲ Duration: 34 min 19 sec
✓ Published: 04-Jun-2021

Description:
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.nnMauricio Santillana, PhD, is the dir