Coscreen: Definition and evaluation of screening strategies for Covid screening in various contexts, from empirical contact data.
- Funded by ANR
- Total publications:0 publications
Grant number: unknown
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Key facts
Disease
COVID-19start year
-99Known Financial Commitments (USD)
$0Funder
ANRPrincipal Investigator
Alain BarratResearch Location
FranceLead Research Institution
Centre de Physique Théorique (CPT) - CNRS - MarseilleResearch Priority Alignment
N/A
Research Category
Epidemiological studies
Research Subcategory
Disease transmission dynamics
Special Interest Tags
N/A
Study Type
Unspecified
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Adults (18 and older)
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
The Coscreen project, coordinated by Alain Barrat (UMR 7332 - Center de Physique Théorique (CPT) - CNRS - Marseille), aims to design a systematic way to couple detailed and realistic digital simulations of the spread of Covid-19 in a given context (schools, offices, universities), with epidemiological data or results of larger-scale modeling at the population level. It will propose a set of strategies based on regular screening of the population and on temporary reactive closures, and will assess the impact of each strategy on the spread according to various parameters, including adherence to testing strategies, test sensitivity, and the time between tests and their results.