Short Description: Researchers develop computer model to show ways to curb COVID-19 spread
Researchers develop computer model to show ways to curb COVID-19 spread
Ontario [Canada], February 9 : Technology has proved to be a major source of hope in the global fight against COVID-19. In wake of this, researchers at the University of Waterloo created the first computational model that simulated many variables affecting the transmission of COVID-19 to slow the spread of variants.
Their study was published in 'Scientific Reports'.
The model took raw data already in use to forecast case numbers and hospitalizations, and then added other factors, such as vaccination rates, the use of masks and lockdowns, and the number of breakthrough infections.
The researchers based their computation model on Ontario's recent experience with COVID-19 and data from the Ontario COVID-19 Science Advisory Table.
"We were actually building the model when the Delta variant was still the dominant one in Ontario," said Anita Layton, professor of applied mathematics at Waterloo and Canada 150 Research Chair in mathematical biology and medicine.
( Details and picture courtesy ANI, the content is auto-generated from the feed.)
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