Daily during the Provincial and Federal government briefings we are given new measures, policies, and details on how to best “flatten the curve” to stop the rapid spread of COVID-19. As the virus spreads on an unprecedented scale, and new data comes in, we begin to understand the efficiency of policies like social distancing. As the government tries to control the virus, new data can help us understand which public policies are most efficient and which different practices best combat the spread.
Dionne Aleman, PhD, P.Eng., industrial engineer and professor in the Department of Mechanical & Industrial Engineering and Centre for Healthcare Engineering at the University of Toronto (UofT), is hoping that her new research in pandemic modeling can lead to decisions that curb the spread of COVID-19.
Full article at: Ontario Society of Professional Engineers