What is the genesis of your project?
The NodsCov2 project comes from a continuation of the iBird programme conducted jointly by AP-HP, Institut Pasteur and Inria between 2007 and 2009. iBird was a study placed within the framework of the European MOSAR project ("Mastering hOSpitAl Resistance and its spread into the Community").
Nodscov2 is a direct result of this project, both for the partners, the actors and the technologies. The origin of Nodscov2 is at the initiative of Professor Didier Guillemot (Inserm/Pasteur/UVSQ) and Eric Fleury (Inria). The project is being carried out on the sensor side by Antoine Fraboulet (MCF on availability and IR Inria on a fixed-term contract as part of the project) and Guillaume Chelius (CR INRIA on availability) who had already been involved in the iBird program and other wireless sensor projects.
How is it developing today and what are its objectives?
Nodscov2 is a measurement and analysis of contact structures in different hospital departments. This project contributes to the COVID modelling effort by studying the risk of nosocomial transmission of the virus in patients and healthcare personnel.
The project is currently in its active measurement phase. We have already been able to carry out 10 deployments in different hospitals in the Paris region and the month of June will allow us to carry out 7 additional deployments in departments located in Lyon and Bordeaux. Each of these 17 investigations is carried out with 200 sensors and takes place over a period of about 40 hours, making it possible to record several hundred thousand measurement points (which can go beyond 500,000 measurements on certain very active services).
MCF on availability and IR Inria on a fixed-term contract as part of the project
How do you work with your partners?
The work carried out between the partners enables investigations to be carried out in the various hospital departments in coordination between AP-HP and Inria.
The data collected by the sensors are then analyzed and consolidated by Inria before being sent to the Institut Pasteur. This proximity data feeds the various modelling and simulation tools used to analyse the properties of the graphs and encounter structures observed in the departments. (Antoine Fraboulet)