Data-driven Modelling and Prediction of Global Spreading of COVID-19
EE Chair Professor Prof Michael Tse joined hand with South China Normal University to engage data-driven modelling in the prediction of spreading trend of COVID-19 epidemic in China, with the goal of better control of the spread and facilitate timely hospitalization and treatment plans.
Under this research, a library of spreading profiles and corresponding model parameters is to be established based on the current results obtained for more accurate estimation of future outbreak in a specific population. Current progress has included Europe, Japan, South Korea, Iran, and more.
News release in Sing Tao Daily on March 19, 2020.