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Adapting influenza predictive models to model previously unknown infectious diseases.

  • Funded by UK Research and Innovation (UKRI)
  • Total publications:0 publications

Grant number: 2402163

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Key facts

  • Disease

    Disease X

  • Start & end year

    2020
    2024

  • Known Financial Commitments (USD)

    $0

  • Funder

    UK Research and Innovation (UKRI)

  • Research Location

    United Kingdom

  • Lead Research Institution

    University College London

  • Research Priority Alignment

    N/A

  • Research Category

    Epidemiological studies

  • Research Subcategory

    N/A

  • 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

The goal of the project is be to investigate to what extent is it possible to adapt an influenza-like-illnesses (ILI) model that makes predictions based on Google search frequencies to other infectious diseases on the example of COVID-19. The scope would also include verifying what data sources could enhance the performance of the source model and the transfer pipeline, as well as investigating how to enable the models to account for the increased online search activity caused by the public's concern about a disease.