index - Mission Inria Covid19 Access content directly

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.

Last deposit

Chargement de la page

Full text


References with link to full text


By document type


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