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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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Covid-19 epidemic Association Rule Mining Johannesburg Communication Epidemic control Nosocomial Prone Positioning Non-pharmaceutical intervention Control policies Molecular mimicry Données liées Presence tracing Compartmental model Lesion segmentation Covid 19 Hospital Essential traffic Extraction d’information Infectiousness propagation prediction Exposure notification protocol Field survey Linkeddata Modelling Cluster exposure verification RDF visualization Linked open data LOD COVID-19 Congestion Bidirectional communication France Care pathways Exit-strategy Knowledge graph visualization Mobile app Knowledge Basic reproduc tion number OR7D4 Contrôle des épidémies Exoskeletons Optimal control Lockdown policy Intensive care unit Visualization Entity linking Human Factors Fouille d’arguments Precariousness Attitude Immune dysfunction Model validation Interestingness PARP9 Contact tracing Computer Tomography Observer design Arguments Mathematical modelling Prevalence Phenotypes Population modeling Input design Prone position Linked data Parameter estimation Named entities Kawasaki vasculitis Observability Linear dynamic model Practice Cytokines Natural language processing Databases COVID-19 pandemic Information extraction Exoskeleton Infection dynamics Model design Distance prediction Entités nommées Blended chalk talks BLE SARS-CoV-2 Anosmia Monitoring App Herd immunity Argument mining Essential Traffic Cléa protocol Outcomes research Interactive visualization Ergonomy Belief Booster campaign DHM Observabilité Conception d'observateur Emission Leukopenia Association rule mining