index - Mission Inria Covid19

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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Anosmia Named entities Diabetes Image restauration DHM Argument mining Control Strategies Emission Cytokines CCS Concepts • Information systems → Spatial-temporal systems human mobility SARS-CoV-2 Belief Covid 19 Mathematical modelling Host–pathogen interaction Care pathways Bidirectional communication Deep Neural Networks Cléa protocol Databases Computer Tomography Covid Exposure notification protocol Adults Parameter estimation Field survey Antiviral treatment Mortality Données liées Immunity Hospital Exoskeletons Communication Epidemic control Death Association Rule Mining Clinical data Herd immunity Health data Distance prediction Hospitalization Epidemiological Models COVID-19 Clustering/Classification Epidemic modeling Cancérologie Correlate of protection High-performance computing Drug repurposing Visualization Treatment Evolutionary Algorithms FIASMA Association rule mining France Feature Selection Infection dynamics Exoskeleton Genome Exit-strategy Booster campaign Deep Learning Ciclesonide Hydroxyzine Entity linking Basic reproduc tion number Immune dysfunction Fouille d’arguments Conditional Random Field Entités nommées Cost Functions Age Arguments Contact tracing Blended chalk talks Control policies Essential traffic Electronic medical records Cytomegalovirus Graph centrality Ergonomy App Covid-19 epidemic Decision Making Conception d'observateur COVID-19 pandemic Epidemiology Covid-19 Contrôle des épidémies Cluster exposure verification Attitude Human Factors Individual Mobility BLE Essential Traffic Linked data Congestion Compartmental model Exploration Extraction d’information