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Inria mission Covid-19

 
On 21 March 2020, Inria set up a mission to coordinate the mobilisation of the institute's resources on the fight against Covid-19 and to arbitrate the priority actions to be taken to do so. In the first phase of this Covid-19 mission led by Hugues Berry and Philippe Gesnouin, the mission accompanied the launch of projects in response to identified requests from players in the health crisis (clinicians, hospital staff, epidemiologists, public authorities and patient associations) with the aim of providing operational solutions within a short timeframe. Proposals were examined as they came in and more than thirty projects have started since March 2020. Some of these projects are presented here.
 
This collection presents the publications related to the Covid-19 mission projects and available in free access on HAL. Numerous works related to the fight against the epidemic have been carried out by the Inria teams outside the framework of the Covid-19 mission. You can consult all the publications of the Inria teams on the subject (Covid-19 mission or not) here.
 

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Keywords

Congestion Cluster exposure verification Johannesburg Cléa protocol Argument mining Population modeling Bidirectional communication Computer Tomography Precariousness Fouille d’arguments Mathematical modelling Essential Traffic Prevalence PARP9 Epidemic spread Natural language processing Parameter estimation COVID-19 Belief Modelling Visualization Contact tracing Care pathways Practice Cytokines Mobilité humaine urbaine COVID-19 pandemic Interestingness BLE Exoskeletons RDF visualization Information extraction Basic reproduc tion number Distance prediction Large-scale network systems Phenotypes Infectiousness propagation prediction Linkeddata Knowledge Knowledge graph visualization Association Rule Mining Compartmental model Prone position Lockdown policy Essential traffic Outcomes research Covid 19 Anosmia Monitoring Association rule mining Emission Infection dynamics Input design Molecular mimicry Presence tracing Average observer Model validation Nosocomial Linked data Intensive care unit Entités nommées Non-pharmaceutical intervention France Linked open data LOD Mobile app Network clustering Hospital OR7D4 Kawasaki vasculitis Lesion segmentation Covid-19 epidemic DHM Prone Positioning App Herd immunity Données liées Booster campaign Ergonomy Interactive visualization Control policies Named entities Model design Exposure notification protocol Attitude Entity linking Communication Field survey Linear dynamic model Leukopenia Databases Immune dysfunction Arguments Blended chalk talks Human Factors Extraction d’information Exoskeleton Optimal control Observateur moyen Propagation épidémique Exit-strategy