Rapid Assistance in Modelling the Pandemic (RAMP - Edinburgh central admin)

  • Funded by UK Research and Innovation (UKRI)
  • Total publications:4 publications

Grant number: ST/V00221X/1

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2021
  • Known Financial Commitments (USD)

    $270,530.19
  • Funder

    UK Research and Innovation (UKRI)
  • Principle Investigator

    Pending
  • Research Location

    United Kingdom, Europe
  • Lead Research Institution

    University of Edinburgh
  • Research Category

    Policies for public health, disease control & community resilience

  • Research Subcategory

    Policy research and interventions

  • Special Interest Tags

    Gender

  • Study Subject

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Since the pandemic began, many thousands of researchers have had their work interrupted, with no access to laboratory equipment or travel. They stand willing and to contribute to COVID modelling effort. RAMP addresses the need to coordinate and focus the efforts across the UK. Computer modelling is perhaps unique as an area where capacity is actually enhanced by the lockdown, although we will continue to coordinate projects with new or repurposed funding once restrictions are relaxed until the crisis is truly over. The unique situation of lockdown and unprecidented importance of COVID has meant that the generation of new knowledge has advanced apace without direct funding. Thousands of apparently COViD related preprints have appeared across medarXiV, arXiV and other preprint servers, and in the inboxes of all prominent scientists in the field. However this body of work is unfocussed, hugely repetitive and often lacks the specificity to deal with the details of the actual crisis we face. The central aim of this project is to provide focus to this effort, and facilitate the knowledge transfer to policy-making. In addition, we are and will continue to act as a channel for addressing policy questions to the community and escalating promising avenues of work to decision-makers, with co-membership of RAMP and the government's SPI-M and SAGE committees. RAMP provides a mechanism by which useful work which does not require direct funding can get underway immediately.

Publicationslinked via Europe PMC

Last Updated:39 minutes ago

View all publications at Europe PMC

Fitting the reproduction number from UK coronavirus case data and why it is close to 1.

The Royal Society RAMP modelling initiative.

Technical challenges of modelling real-life epidemics and examples of overcoming these.

Effect of school closures on mortality from coronavirus disease 2019: old and new predictions.