Research to predict spread of pandemic a month in advance among five projects aimed at stemming spread, developing better tests and improving patient care.
A researcher at the University of Alberta who developed an algorithm that can predict a mountain pine beetle outbreak seven years in advance is co-leading a team now homing in on the algorithm that can predict how COVID-19 spreads in a population.
“Of course, the mountain pine beetle is very different from COVID-19, but in terms of the dynamics and what you would put in a model, it's not that different,” said Mark Lewis, professor in the Faculty of Science.
“We're building on that tradition of quantitative modelling of disease, but we're using this new set of methods—machine learning—where the U of A is really a world leader.”
Lewis and fellow mathematical biologist Hao Wang, computing science professor and machine learning expert Russ Greiner, biologist and data science expert David Wishart, post-doctoral researcher Pouria Ra...