Modelling pooling strategies for SARS-CoV-2 testing in a university setting
- Funded by UK Research and Innovation (UKRI)
- Total publications:0 publications
Grant number: C19-IUC-457
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Key facts
Disease
COVID-19Funder
UK Research and Innovation (UKRI)Principal Investigator
Gibran HemaniResearch Location
United KingdomLead Research Institution
University of BristolResearch Priority Alignment
N/A
Research Category
Infection prevention and control
Research Subcategory
Restriction measures to prevent secondary transmission in communities
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Other
Abstract
Researchers at the University of Bristol have used mathematical simulations to test different COVID-19 testing strategies in a university population. They found that when positive cases are clustered by a know social structure such as a student household, pooled sampling (where a household pool their swabs into a single test) is most efficient.