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Mathematical Modeling of the Spread of COVID-19 in Canada [Funder: Carleton University COVID-19 Rapid Research Response Grants]

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Funder

    Other Funders (Canada)

  • Principal Investigator

    Emmanuel Lorin

  • Research Location

    Canada

  • Lead Research Institution

    Carleton University

  • Research Priority Alignment

    N/A

  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease transmission dynamics

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

This project is devoted to the mathematical modeling of the spread of COVID-19 in Canada. The main objective is to develop a hierarchy of accurate epidemiological models, and a corresponding simulation code, for the space and time propagation of COVID-19 in Canada using: i) the most recent available data (infection, susceptibility, recovery rates, etc.), and ii) machine learning techniques to include the parameters in the mathematical models. We will explore different scenarios (quarantine, tracing, testing, border control...) and take into account different types of population by age and health condition. Ultimately, this tool is expected to guide public health decisions, based on rigorously derived models and simulations.