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