November 10, 2020

Research team creates a computer model that can predict how COVID-19 spreads in cities


A new computer model predicts the COVID-19 infection-versus-activity trade-off for Chicago. According to the figure, COVID-19 infections will rise as the number of visits to businesses and public places approach pre-pandemic levels. However, restricting maximum occupancy can strike an effective balance: for example, a 20 percent occupancy cap would still permit 60 percent of pre-pandemic visits while risking only 18 percent of the infections that would occur if public places were to fully reopen. Credit: Serina Yongchen Chang

A team of researchers has created a computer model that accurately predicted the spread of COVID-19 in 10 major cities this