Tracking visits to public points of interest can inform community health measures

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—geographic data points collected from millions of anonymous cellphone users with GPS-enabled devices—to a population health model increased the model's predictive performance by an average of 7.5%.

Read it at Phys.org ↗

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