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  • 1. Profiles of mental health and their association with negative impacts and suicidal ideation during the COVID-19 pandemic: A Canadian perspective
    Articles and reports: 82-003-X202200800002
    Description:

    Many Canadians have experienced worse mental health since the onset of the COVID-19 pandemic. The purpose of this study was to identify profiles of mental health difficulties and to quantify the relationships between mental health profiles, negative impacts related to the pandemic, and suicidal ideation. Latent profile analysis was used to identify patterns of anxiety, depression, and psychological distress among 22,721 adult participants from the 2020 and 2021 Survey on COVID-19 and Mental Health.

    Release date: 2022-08-18
  • 2. Applying the data science approach to COVID-19 epidemiological modelling to inform PPE demand and supply in Canada Archived
    Articles and reports: 11-522-X202100100017
    Description: The outbreak of the COVID-19 pandemic required the Government of Canada to provide relevant and timely information to support decision-making around a host of issues, including personal protective equipment (PPE) procurement and deployment. Our team built a compartmental epidemiological model from an existing code base to project PPE demand under a range of epidemiological scenarios. This model was further enhanced using data science techniques, which allowed for the rapid development and dissemination of model results to inform policy decisions.

    Key Words: COVID-19; SARS-CoV-2; Epidemiological model; Data science; Personal Protective Equipment (PPE); SEIR

    Release date: 2021-10-22
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Articles and reports (2)

Articles and reports (2) ((2 results))

  • 1. Profiles of mental health and their association with negative impacts and suicidal ideation during the COVID-19 pandemic: A Canadian perspective
    Articles and reports: 82-003-X202200800002
    Description:

    Many Canadians have experienced worse mental health since the onset of the COVID-19 pandemic. The purpose of this study was to identify profiles of mental health difficulties and to quantify the relationships between mental health profiles, negative impacts related to the pandemic, and suicidal ideation. Latent profile analysis was used to identify patterns of anxiety, depression, and psychological distress among 22,721 adult participants from the 2020 and 2021 Survey on COVID-19 and Mental Health.

    Release date: 2022-08-18
  • 2. Applying the data science approach to COVID-19 epidemiological modelling to inform PPE demand and supply in Canada Archived
    Articles and reports: 11-522-X202100100017
    Description: The outbreak of the COVID-19 pandemic required the Government of Canada to provide relevant and timely information to support decision-making around a host of issues, including personal protective equipment (PPE) procurement and deployment. Our team built a compartmental epidemiological model from an existing code base to project PPE demand under a range of epidemiological scenarios. This model was further enhanced using data science techniques, which allowed for the rapid development and dissemination of model results to inform policy decisions.

    Key Words: COVID-19; SARS-CoV-2; Epidemiological model; Data science; Personal Protective Equipment (PPE); SEIR

    Release date: 2021-10-22
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