After nearly a year of studying COVID-19, scientists are still grappling with fundamental questions – including understanding the dominant modes of transmission and predicting how “superspreading” events arise. A newly improved model produced by engineers and physicists could help.
Associate Professor Swetaprovo Chaudhuri of the University of Toronto Institute for Aerospace Studies and his colleagues have developed what they called a “first-principles modelling approach” to understanding the factors that affect COVID-19 spread.
Researchers at U of T use physics model to study spread of COVID-19 respiratory droplet ‘clouds’