MEMVIE 4

  • Funded by Department of Health and Social Care / National Institute for Health and Care Research (DHSC-NIHR)
  • Total publications:1 publications

Grant number: NIHR204667

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Key facts

  • Disease

    COVID-19, Disease X
  • Start & end year

    2023
    2026
  • Known Financial Commitments (USD)

    $1,142,927.42
  • Funder

    Department of Health and Social Care / National Institute for Health and Care Research (DHSC-NIHR)
  • Principal Investigator

    N/A

  • Research Location

    United Kingdom
  • Lead Research Institution

    University of Warwick
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Impact/ effectiveness of control measures

  • 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

Vaccines are an effective tool against infectious diseases. All decisions on changes to vaccination programmes or the start of a new programme must be driven by the best evidence available. Predictive mathematical models and health economic evaluations have a vital role to play in underpinning the advice from JCVI (the Joint Committee on Vaccination and Immunisation) - the committee that advises on national vaccination policy. Modelling the changes in disease and the health-economic consequences, allows JCVI to assess the cost-effectiveness of any change to the vaccination programme. Our research has been instrumental in providing independent predictions to JCVI for the last nine years, enabling this committee to deliver appropriate and timely advice. Given the international prominence of the JCVI, this advice often influences worldwide policy. This project will build on our expertise in four key domains (epidemiological modelling, health economics, public health and public/patient involvement), and our experience of generating the required predictions. These predictions are based on the results of carefully designed mathematical models using the latest understanding of a particular infection, fitting to the available data on cases and vaccine performance, and taking into account groups that may have a higher burden of infection and disease. These projections are then interpreted in a health-economic framework, carefully considering the costs and benefits (both in terms of health and cost impacts) of any change to vaccine policy. This work will be supported by our ground-breaking public involvement using the framework we have developed to guide how public contributors can inform modelling. We will extend the diversity of our already existing public reference group to ensure a range of voices are represented. The precise work-plan will evolve through careful and regular discussion with the three key stakeholders: DHSC (Department of Health and Social Care), JCVI and UKHSA (UK Health Security Agency - who also perform similar modelling and health-economic studies). Together we will determine the forthcoming changes in vaccine programmes, and the new vaccines that could be deployed in the near future, that need our modelling input. We will also be responsive to emergency planning, providing rapid predictions and forecasts to emerging outbreaks worldwide, as we did for the COVID-19 outbreak. The project places considerable emphasis on sharing information. Regular reports on progress will be presented to all stakeholders, to capitalise on their expertise and to ensure all aspects of the problem are fully explored. Our work will be published in peer-reviewed journals and code released to both increase the reach of the research and as an extra level of validation. Finally, we are committed to a programme of public outreach, ensuring the public is well informed about the scientific bases of potential future changes.

Publicationslinked via Europe PMC

Last Updated:41 minutes ago

View all publications at Europe PMC

A retrospective assessment of forecasting the peak of the SARS-CoV-2 Omicron BA.1 wave in England.