Computer model uses cellphone data to predict COVID-19's spread in US cities

Computer model uses cellphone data to predict COVID-19's spread in US citiesA crew of scientists from Stanford and Northwestern universities have established a pc design that predicts how COVID-19 spreads in cities by researching anonymized cellphone data from 98 million People in 10 significant metropolitan areas. The new exploration comes at a time when new COVID-19 scenarios in the U.S. are surging throughout the nation and metropolitan areas have struggled to quell the virus’s spread — shutdown and reopening strategies have various and had different degrees of success as local officers have struggled to equilibrium well being threats with financial losses. “What our product can do is commence to inform the general public and policymakers on wherever we fall on this tradeoff, and how several visits and how several infections would take place at just about every degree of reopening,” Serina Chang, the co-first author of the paper and a Ph.D. student at Stanford University, advised ABC News.


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