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Accurate prediction of COVID-19 outbreaks using location data from mobile devices

Researchers at the Yale School of Public Health were able to accurately predict outbreaks of COVID-19 in Connecticut municipalities using anonymous location information from mobile devices, according to a new study published in Science Advances.

Connecticut , United-states , Forrest-crawford , Emily-henderson , Connecticut-department-of-public-health , Us-centers-for-disease , Yale-school-of-public-health , Whitespace-ltd , Yale-school , Public-health , Connecticut-department , Disease-control

CT Study Shows Cell Phone Location Data Can Predict COVID-19 Outbreaks

Imagine being able to predict a COVID-19 outbreak. Researchers at The Yale School of Public Health say they can do that by using location information from cell...

Connecticut , United-states , Forrest-crawford , Connecticut-department-of-public-health , Yale-school-of-public-health , Department-of-public-health , Whitespace-ltd , Yale-school , Public-health , Connecticut-department , Covid-19-outbreaks , Ale

Researchers use mobile device data to predict COVID-19 outbreaks

Researchers at the Yale School of Public Health say they were able to accurately predict outbreaks of COVID-19 in Connecticut municipalities using anonymous

Connecticut , United-states , Matthew-cartter , Patrick-kenney , Jacqueline-barbieri , Sydney-jones , Zehang-richard-li , Jared-campbell , Thomas-valleau , Olga-morozova , Forrest-crawford , Joshua-warren

Whitespace's new Contact Metrics are a powerful tool for predicting disease outbreak

7 January 2022: Alexandria, Virginia (PRWEB) January 08, 2022 -- Whitespace Ltd., a spatial data analytics firm, and Dr. Forrest Crawford of Yale University

Virginia , United-states , Alexandria , Al-iskandariyah , Egypt , Yale-university , Connecticut , Jacqueline-barbieri , Forrest-crawford , Whitespace-ltd , Science-advances , Spatial-data