EurekAlert: Stanford-led team creates a computer model that can predict how COVID-19 spreads in cities

EurekAlert: Stanford-led team creates a computer model that can predict how COVID-19 spreads in cities. “The study, published today in the journal Nature, merges demographic data, epidemiological estimates and anonymous cellphone location information, and appears to confirm that most COVID-19 transmissions occur at ‘superspreader’ sites, like full-service restaurants, fitness centers and cafes, where people remain in close quarters for extended periods. The researchers say their model’s specificity could serve as a tool for officials to help minimize the spread of COVID-19 as they reopen businesses by revealing the tradeoffs between new infections and lost sales if establishments open, say, at 20 percent or 50 percent of capacity.”

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