Reducing the burden of infectious diseases using translational analytics

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

Grant number: GA387357

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2025
    2029
  • Known Financial Commitments (USD)

    $997,519.18
  • Funder

    National Health and Medical Research Council (NHMRC)
  • Principal Investigator

    N/A

  • Research Location

    Australia
  • Lead Research Institution

    University of New South Wales
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease surveillance & mapping

  • Special Interest Tags

    Data Management and Data Sharing

  • 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

It is now possible to rapidly collect enormous amounts of data on infectious diseases, such as COVID-19. Thus, the challenge now is â€" “how do we sensibly integrate data across multiple studies to deliver evidence-based policy for managing infectious diseases?” This project aims to use mathematical and data analytics approaches, in close collaboration with local and international experimentalists and clinicians, to guide efforts to reduce the burden of infectious diseases globally.