Shihao Yang, Georgia Institute of Technology “Big-data infectious disease estimation: From flu to covid-19”

For epidemics control and prevention, timely insights of potential hot spots are invaluable. As an alternative to traditional epidemic surveillance, big data from the Internet could provide important information about the current epidemic trends after proper spatial-temporal modeling. In this talk we will present a few data-driven statistic / machine learning approaches for infectious disease prediction, with application in influenza and covid-19.

To register for the meeting:

https://iu.zoom.us/meeting/register/tZYqd-2srD8tGtCXDem4Cka08rBz5fDW0EQR