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Using mathematical modelling and lessons learned from COVID-19 to inform pandemic preparedness

  • Funded by National Health and Medical Research Council (NHMRC)
  • Total publications:0 publications

Grant number: GA409847

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Key facts

  • Disease

    COVID-19, Disease X

  • Start & end year

    2025
    2027

  • Known Financial Commitments (USD)

    $77,796.99

  • Funder

    National Health and Medical Research Council (NHMRC)

  • Principal Investigator

    N/A

  • Research Location

    Australia

  • Lead Research Institution

    Burnet Institute

  • Research Priority Alignment

    N/A

  • Research Category

    Epidemiological studies

  • Research Subcategory

    Impact/ effectiveness of control measures

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Vulnerable populations unspecified

  • Occupations of Interest

    Unspecified

Abstract

This PhD project will use mathematical modelling and data from COVID-19 to develop effective strategies for responding to outbreaks of future pathogens. This includes understanding which strategies would be most likely to contain outbreaks in their early stages when information is limited, as well as targeted strategies to protect subpopulations likely to experience a disproportionate disease burden.