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Center for Computational and Digital Health Innovation

Wearable Infection Detection (WID) [formerly known as CovIdentify]

Using commercial wearable device data, the BIG IDEAs Lab predicts onset of respiratory illnesses prior to symptom onset or diagnostic testing.

Lead PI:

  • Jessilyn Dunn

Center Researchers:

    Related Publications

    • A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19

    In the News:

      Funding:

      • BARDA

      The Challenge

      When individuals contract respiratory illnesses, such as COVID-19 or flu, it is important to curb the infectious period (which may be before, during, and/or after symptoms) to prevent further spread of such illness.

      Our Solution

      By using biosignals collected from wearable devices, and EHR (electronic health records) data, we have developed digital biomarkers of infection, which are predictive models of infection likelihood.

      Infographic describing the research

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