Computer model shows the best ways to slow the spread of COVID-19
Researchers at the University of Waterloo created the first computational model that simulates many variables affecting the transmission of COVID-19 to slow the spread of variants.
The model takes raw data already in use to forecast case numbers and hospitalizations, and then adds other factors, such as vaccination rates, the use of masks and lockdowns, and the number of breakthrough infections.
