Real-time modelling of epidemic trajectories

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

Grant number: C19-IUC-377

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Key facts

  • Disease

    COVID-19
  • Funder

    UK Research and Innovation (UKRI)
  • Principal Investigator

    Professor and Dr and Dr and Professor and Professor and Professor and Professor Neil Ferguson, Ilaria Dorigatti, Marc Baguelin, Azra Ghani, Christl Donnelly, Steven Riley, Nicholas Grassly
  • Research Location

    United Kingdom
  • Lead Research Institution

    MRC Centre for Global Infectious Disease Analysis
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease transmission dynamics

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    CaregiversHospital personnelNurses and Nursing Staff

Abstract

This project focuses on the epidemic trajectories of COVID-19 (UK focus). This includes understanding of carehome, hospital and community transmission and considerations for the winter season. In addition, this workstream provides scientific support to Scientific Pandemic Influenza Group on Modelling (SPI-M) and the Scientific Advisory Group for Emergencies (SAGE).