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Data assimilation research with COVID-19 infectious disease models

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Known Financial Commitments (USD)

    $0

  • Funder

    RIKEN

  • Research Location

    Japan

  • Lead Research Institution

    N/A

  • Research Priority Alignment

    N/A

  • Research Category

    Epidemiological studies

  • Research Subcategory

    Impact/ effectiveness of control measures

  • Special Interest Tags

    N/A

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

A standard infectious disease model known as the SIR model will be extended to consider the unique features of COVID-19. Data assimilation will be applied to the extended SIR model, providing useful information for decision-making such as restrictions and vaccination plans.