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Title: Big-data infectious disease estimation: From flu to covid-19 Authors:  Shihao Yang - Georgia Institute of Technology (United States) [presenting]
Abstract: For epidemics control and prevention, timely insights of potential hot spots are invaluable. An alternative to traditional epidemic surveillance, which often lags behind real-time by days or even weeks, big data from the Internet provide important information about the current epidemic trends. We will present a few big-data approaches for influenza prediction, and how the approaches are applied to covid-19 prediction in the current pandemic.