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Share: In partnership with Facebook Data for Good, the Delphi Group at Carnegie Mellon University (CMU), the Joint Program on Survey Methodology at the University of Maryland (UMD), the Duke Margolis Center for Health Policy, and Resolve to Save Lives, an initiative of Vital Strategies Catalyst @ Health 2.0, the industry leader in digital health strategic partnering, announced today DeepOutbreak as the winner and The COVID-19 Symptom Data Challenge looked for novel analytic approaches that use COVID-19 Symptom Survey data to enable earlier detection and improved situational awareness of the outbreak. Challenge participants leveraged aggregated data from the COVID-19 Symptom Surveys conducted by Carnegie Mellon University and the University of Maryland, in partnership with Facebook, the largest and most detailed surveys ever conducted during a public health emergency, with over 25M responses recorded to date, across 200+ countries and territories and 55+ languages.

United statesChrissy farrFrauke kreuterTom friedenFarzad mostashariKang xing jinAlex reinhartMark mcclellanProgram on survey methodologyUniversity of marylandUniversity of iowaCatalyst healthDepartment of healthUniversity of washington electricalNational coordinator for healthCarnegie mellon university