Wearing Masks Saves Lives, The Earlier You Start The Better, A New Data-Driven Model Shows
Dr. Biplav Srivastava, professor of computer science at the University of South Carolina, and his team have developed a data-driven tool that helps demonstrate the effect of wearing masks on COVID-19 cases and deaths. His model utilizes a variety of data sources to create alternate scenarios that can tell us “What could have happened?” if a county in the U.S. had a higher or lower rate of mask adherence. In this interview, he explains how the model works, its limitations and what conclusions we can draw from it.
Computer scientist Biplav Srivastava provides a demo of the simulation to show that earlier policies to recommend mask-wearing make a bigger difference on the spread of the coronavirus.
What does this computer model do?
This is a nationwide tool which can show the effect that weari...