Biomathematical methodology to obtain accurate COVID-19 pandemic estimates from incomplete data
- Funded by UK Research and Innovation (UKRI)
- Total publications:0 publications
Grant number: C19-IUC-134
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Key facts
Disease
COVID-19Funder
UK Research and Innovation (UKRI)Principal Investigator
PendingResearch Location
ItalyLead Research Institution
MRC Centre for Neurodevelopmental Disorders at King's College LondonResearch Priority Alignment
N/A
Research Category
Epidemiological studies
Research Subcategory
Disease transmission dynamics
Special Interest Tags
N/A
Study Subject
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
To assess the asymptomatic infection rate using Italian and world-wide data as part of a collaboration with ISPI (Bocconi University, Italy). To use these estimates to inform policy and inform simulations of end-of-lockdown scenarios