CoronaLytics - Health data from smartphones should teach us how to handle the next corona wave

Grant number: unknown

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Key facts

  • Disease

    COVID-19
  • Funder

    Innovationsfonden Denmark
  • Principal Investigator

    N/A

  • Research Location

    Denmark
  • Lead Research Institution

    Aarhus University (Public Health and Computer Science), Research Unit for General Medicine in Aarhus, MedTech Innovation Consortium, Alexandra Institute, Danish Technological Institute
  • Research Priority Alignment

    N/A
  • Research Category

    Infection prevention and control

  • Research Subcategory

    Restriction measures to prevent secondary transmission in communities

  • Special Interest Tags

    Digital Health

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

CoronaLytics analyzes citizen-shared data from smartphones and wearables in households that have suspected or confirmed corona virus in the household. The results will be translated into an app that will support families and general practitioners in handling a new corona wave better. The aim of the project is to develop a solution which is administered by families and their general practitioners and which contributes to a more qualified handling of new virus waves. Combining historical smartphone health data with continuously collected data can provide an overall picture of changed life patterns, the development of the infection, as well as the impact on the families' quality of life. The analyzes can help us to understand COVID-19 from a citizen perspective, including the impact on citizens' everyday lives, activity patterns and and general health; how COVID-19 is transmitted in and out of the household; how COVID-19 can be better managed based on the relationship between changes in activity data and mild symptoms during the incubation period.