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Cellphone Data Helps Track Mobility Patterns During Social Distancing


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Artist's interpretation of obtaining cellphone data.

Researchers in Colorado estimated how much Colorado residents have changed their behavior since the start of the COVID-19 pandemic based on cellphone data.

Credit: Erenkocyigit

Researchers at Colorado State University, the Colorado School of Public Health, the University of Colorado School of Medicine, the University of Colorado Boulder, and the University of Colorado Denver used cellphone data to develop a modeling report estimating how much Colorado residents have changed their behavior since the start of the COVID-19 pandemic.

The researchers also examined how those behaviors may be changing due to the state's new Safer at Home orders.

The report focuses on "mobility patterns," broad patterns of how people move from place to place.

In the most recent epidemiological modeling report issued in April, the team estimated state residents effectively reduced social contact by up to 80% since being told to stay home.

The report used heavily aggregated, anonymized data from Mapbox and SafeGraph as the basis for estimates of Coloradans' mobility patterns.

From Colorado State University
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