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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

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