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COVIDtrace - Prevention of COVID-19 transmission among patients and healthcare workers in hospitals and nursing homes using intelligent contact tracing.

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Funder

    Innovationsfonden Denmark

  • Research Location

    Denmark

  • Lead Research Institution

    Konduto, DTU (in addition, Skejby and Plejecenter Sølyst are included)

  • Research Priority Alignment

    N/A

  • Research Category

    Infection prevention and control

  • Research Subcategory

    Barriers, PPE, environmental, animal and vector control measures

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Adults (18 and older)

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Health Personnel, Hospital personnel

Abstract

Infection detection of COVID-19 is a time-consuming, manual and resource-intensive process. The COVIDtrace project aims to automate the process and prevent the spread of COVID-19 and other types of infections. The purpose of the project is to develop a tool based on pattern recognition algorithms that can tell where and when infection is transmitted in hospitals and nursing homes. In this way, it will be possible to quickly test exposed patients and staff, initiate effective quarantine procedures and clean dirty equipment. The solution is data-driven and works through sensors on soap and alcohol dispensers as well as a so-called token, which is worn by healthcare professionals. The system identifies those who have been in close contact with an infected person and assesses the risk of infection transmission through algorithms and built-in data on hand hygiene compliance.