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Using a smart wearable as an early warning system and as a tool to monitor disease severity in COVID-19 real-time in a susceptible population: a proof-of-concept study for infection with SARS-Cov2 variants or other respiratory viruses with pandemic poten

  • Funded by Netherlands Organisation for Health Research and Development (ZonMW)
  • Total publications:0 publications

Grant number: 1.04304E+13

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Key facts

  • Disease

    COVID-19

  • Start & end year

    2023
    2024

  • Funder

    Netherlands Organisation for Health Research and Development (ZonMW)

  • Principal Investigator

    dr CJ. Schinkel MD PhD

  • Research Location

    Netherlands

  • Lead Research Institution

    Amsterdam UMC Locatie AMC

  • Research Priority Alignment

    N/A

  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Disease pathogenesis

  • Special Interest Tags

    Digital Health

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Older adults (65 and older)

  • Vulnerable Population

    Other

  • Occupations of Interest

    Unspecified

Abstract

Respiratory infections are sometimes poorly recognized in elderly people in nursing homes, because the symptoms are often different from the typical symptoms of a respiratory infection. Therefore, measuring signs of a respiratory infection, such as increased heart rate at rest, increased breathing and reduced exercise, could help in timely recognition of respiratory infections. This, together with knowledge about the pathogen, may lead to better control of outbreaks in nursing homes in the future.