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All (3) ((3 results))

  • 1. 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
  • 2. International population-based health surveys linked to outcome data: A new resource for public health and epidemiology
    Articles and reports: 82-003-X202000700002
    Description:

    This paper's objectives are to examine the feasibility of pooling linked population health surveys from three countries, facilitate the examination of health behaviours, and present useful information to assist in the planning of international population health surveillance and research studies.

    Release date: 2020-07-29
  • 3. Development of a population-based microsimulation model of body mass index Archived
    Articles and reports: 82-003-X201700614829
    Description:

    POHEM-BMI is a microsimulation tool that includes a model of adult body mass index (BMI) and a model of childhood BMI history. This overview describes the development of BMI prediction models for adults and of childhood BMI history, and compares projected BMI estimates with those from nationally representative survey data to establish validity.

    Release date: 2017-06-21
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Articles and reports (3)

Articles and reports (3) ((3 results))

  • 1. 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
  • 2. International population-based health surveys linked to outcome data: A new resource for public health and epidemiology
    Articles and reports: 82-003-X202000700002
    Description:

    This paper's objectives are to examine the feasibility of pooling linked population health surveys from three countries, facilitate the examination of health behaviours, and present useful information to assist in the planning of international population health surveillance and research studies.

    Release date: 2020-07-29
  • 3. Development of a population-based microsimulation model of body mass index Archived
    Articles and reports: 82-003-X201700614829
    Description:

    POHEM-BMI is a microsimulation tool that includes a model of adult body mass index (BMI) and a model of childhood BMI history. This overview describes the development of BMI prediction models for adults and of childhood BMI history, and compares projected BMI estimates with those from nationally representative survey data to establish validity.

    Release date: 2017-06-21
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