A team of researchers at the University of Waterloo and Dalhousie University have developed a method for forecasting the short-term progression of an epidemic using extremely limited amounts of data.
Click here for original story, Acting fast when an epidemic hits: Machine learning predicts short-term disease progression
Source: Phys.org