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DECOVID (HGU & rapid data science response)

  • Funded by UK Research and Innovation (UKRI)
  • Total publications:0 publications

Grant number: C19-IUC-096

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Funder

    UK Research and Innovation (UKRI)

  • Principal Investigator

    Catalina Vallejos

  • Research Location

    United Kingdom

  • Lead Research Institution

    University of Edinburgh

  • Research Priority Alignment

    N/A

  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Prognostic factors for disease severity

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Involved in data analysis in the DECOVID project (incl Turing Institute and HDRUK), a collaboration that aims to use near real-time health data to allow researchers and clinicians to identify factors and generate insights that can lead to more effective clinical treatment strategies.