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 workforce of scientists from Stanford and Northwestern universities have developed a personal computer product that predicts how COVID-19 spreads in towns by finding out anonymized cellphone facts from 98 million Americans in 10 important metropolitan areas. The new study arrives at a time when new COVID-19 scenarios in the U.S. are surging across the place and towns have struggled to quell the virus’s unfold — shutdown and reopening plans have varied and experienced various levels of good results as neighborhood officers have struggled to harmony well being threats with financial losses. “What our product can do is begin to advise the public and policymakers on where by we fall on this tradeoff, and how a lot of visits and how a lot of infections would take place at just about every stage of reopening,” Serina Chang, the co-first creator of the paper and a Ph.D. scholar at Stanford College, explained to ABC Information.