Dr. Biplav Srtivastava, professor of computer science at University of South Carolina and his team have developed a data-driven tool that helps us understand the effect of wearing masks on COVID-19 cases and deaths. His model utilizes a variety of data sources to create counterfactual scenarios that can tell us "What could have happened?" If a county in the US had higher or lower mask adherence. In this interview, he explains how the model works, its limitations, and what conclusions we can draw from it.
The full article is available to read at The Conversation US: [ Ссылка ]
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