Canadian COVID-19 Prospective Cohort Study (CanCOV)

  • Funded by Canadian Institutes of Health Research (CIHR)
  • Total publications:0 publications

Grant number: 172729

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2020
  • Known Financial Commitments (USD)

    $1,584,375
  • Funder

    Canadian Institutes of Health Research (CIHR)
  • Principal Investigator

    Ahmed Sofia Bano, Batt Jane Andrea Elizabeth, Binnie Alexandra, Cheung Angela Man-Wei, Dos Santos Claudia Chimisso, Ghassemi Marzyeh, Herridge Margaret Sutherland, Lamontagne Francois, Morin Suzanne Nicole, Palepu Anita, Razak Fahad, Stelfox Henry Thomas, Strug Lisa Joanna, Tsang Jennifer Lai-Yee, Verma Amol, Yeung Rae Suk-Man
  • Research Location

    Canada
  • Lead Research Institution

    University Health Network
  • 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

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

The Canadian COVID-19 Prospective Cohort Study (CANCOV) is the first Canadian study to provide a comprehensive evaluation of early to 1-year outcomes in 2000 patients with COVID-19 infection and their family caregivers. This study will be conducted in Quebec, Ontario, Alberta and British Columbia, the hardest hit provinces in Canada. CANCOV is built on the GEMINI (GEneral Internal Medicine INpatient Initiative) and RECOVER (REhabilitation and reCOVERy after critical illness) established research platforms. Through the CANCOV program of research, we will: 1) characterize the myriad health consequences of COVID-19 including their short and long-term outcomes (recruited from the community and hospitals) and those of their family caregivers, 2) determine the clinical risk factors, timing and pace of recovery across the spectrum of COVID-19 disease, 3) provide detailed clinical descriptions for genetic, basic science, translational and multi-omics research inquiry, and 4) facilitate the creation of prediction models and tools using machine learning and artificial intelligence, as well as secondary clinical studies. Our senior and diverse team of investigators, many with extensive research experience during SARS, will shorten the time to translate knowledge into practice through multiple rapid knowledge to action cycles throughout this project. Insights from this large-scale project will enable Canada to improve COVID-19 clinical care and decision-making regarding service provision, and response to this global pandemic.