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Stanford-Led Team Creates a Computer Model That Can Predict How COVID-19 Spreads in Cities

Stanford News

Photo: Serina Yongchen Chang

Stanford.edu

A team of researchers has created a computer model that accurately predicted the spread of COVID-19 in 10 major cities this spring by analyzing three factors that drive infection risk: where people go in the course of a day, how long they linger and how many other people are visiting the same place at the same time.

"We built a computer model to analyze how people of different demographic backgrounds, and from different neighborhoods, visit different types of places that are more or less crowded. Based on all of this, we could predict the ...