COVID-19-Risk Prediction Tool

  • Funded by Department of Health and Social Care / National Institute for Health and Care Research (DHSC-NIHR)
  • Total publications:10 publications

Grant number: COVID-19-Risk Prediction Tool

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2022
  • Known Financial Commitments (USD)

    $1,606,666.25
  • Funder

    Department of Health and Social Care / National Institute for Health and Care Research (DHSC-NIHR)
  • Principal Investigator

    Professor Julia Hippisley-Cox
  • Research Location

    United Kingdom
  • Lead Research Institution

    University of Oxford
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease susceptibility

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    Unspecified

  • Broad Policy Alignment

    Pending

  • Age Group

    Adults (18 and older)Children (1 year to 12 years)

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

Publicationslinked via Europe PMC

Last Updated:an hour ago

View all publications at Europe PMC

Dynamic updating of clinical survival prediction models in a changing environment.

An external validation of the QCovid risk prediction algorithm for risk of mortality from COVID-19 in adults: a national validation cohort study in England.

Risk prediction of covid-19 related death and hospital admission in adults after covid-19 vaccination: national prospective cohort study.

Sickle Cell Disorders and Severe COVID-19 Outcomes: A Cohort Study.

Association between pre-existing respiratory disease and its treatment, and severe COVID-19: a population cohort study.

COVID-19 Mortality Risk in Down Syndrome: Results From a Cohort Study of 8 Million Adults.

The Use of Primary Care Big Data in Understanding the Pharmacoepidemiology of COVID-19: A Consensus Statement From the COVID-19 Primary Care Database Consortium.

Associations between body-mass index and COVID-19 severity in 6·9 million people in England: a prospective, community-based, cohort study.