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-19Start & end year
N/AFunder
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 GrasslyResearch Location
United KingdomLead Research Institution
MRC Centre for Global Infectious Disease AnalysisResearch Priority Alignment
N/A
Research Category
Epidemiological studiesResearch Subcategory
Disease transmission dynamicsSpecial Interest Tags
N/AStudy Type
Non-ClinicalClinical Trial Details
Not applicableBroad Policy Alignment
PendingAge Group
UnspecifiedVulnerable Population
UnspecifiedOccupations of Interest
Caregivers, Hospital personnel, Nurses 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).