UNIVERSITY PARK, Pa., Sept. 15 -- Pennsylvania State University issued the following news release:
UNIVERSITY PARK, Pa. - It's not so much where people live, but where they frequently spend their time that can provide useful information for predicting community health measures. A team led by geographers in the Penn State College of Earth and Mineral Sciences found that adding place visitation data - geographical data points collected from millions of anonymous cell phone users with GPS-enabled devices - to a population health model increased the model's predictive performance by an average of 7.5%. This improvement in predicting public health factors, including the rates of depression and binge drinking, may assist public policymakers and ...