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-19Funder
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 KingdomLead Research Institution
MRC Centre for Global Infectious Disease AnalysisResearch 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).