Covid19
Conditions
Keywords
Simulation, epidemiology, public health, computer science, infectiology, technology, pandemic COVID
Brief summary
The worldwide health system has been marked by the SARS-CoV-2 pandemic. French educational system has been upset, especially medical schools, which, because of their hospital location, are particularly exposed to the spread of the virus. The medical school of Paris-Saclay University, located within bicetre University Hospital, AP-HP, must therefore adapt on a daily basis to ensure educational continuity. Taking advantage of an exceptional scientific ecosystem, innovative viral epidemic propagation modeling approaches based on both simulation and contact tracing data will be tested in real-life conditions. These propagation models will serve to scientifically optimize future educational organization procedures in this medical school.
Detailed description
All the participants will be equipped with individual wireless contact tracing technology. Anonymised contact events will be automatically monitored for a period of two months to measure the daily contact flow density between the students at medical school. Epidemic simulation models will be enriched with these real contact tracing data to generate optimized viral propagation probability networks. During the same period, CO2 measurement will be performed in several relevant sectors (classrooms, amphitheaters, corridors etc) to allow a more holistic understanding of the propagation conditions. Finally, the probabilistic models will be confronted to the results of a two step COVID-19 screening campaign.
Interventions
SARS-CoV-2 screening tests: two massive antigenic tests campaigns (on salivary samples).
Individual electronic sensor recording contacts but not their location (in the form of a bracelet, a key ring or a badge) Contact data collection points (5 maximum, located at compulsory passage points for participants). When a sensor is close to one of these terminals, it discharges its contacts in seconds.
Atmospheric measurements of CO2 in the relevant closed places of the faculty (lectures / practical work / BU / refectory): battery operated sensors. When a sensor is installed in a place, the ventilation conditions (number of open windows, etc.) as well as the number of people present will be noted.
Sponsors
Study design
Eligibility
Inclusion criteria
* Volunteers of adult men and women over 18 from the Paris-Saclay Medicine UFR * Belonging to the teaching staff * Belonging to the promotions of DFGSM 2 and 3, and DFASM 1 and 2 (2nd to 5th year of medical study) * administrative staff * Affiliated to a social security scheme or beneficiary (excluding AME) * Informed and written consent
Exclusion criteria
* Absence of intercurrent disease before inclusion * Positive antigenic or PCR test at the time of inclusion
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Simulations results compared with the COVID-19 two-step screening campaign results | 2 months | Develop and validate a simulation tool for the spread of an epidemic in a university-type environment, updated by the effective measurement of contacts between individuals (wireless digital search of contacts). |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| CO2 atmospheric measurement | 2 months | The CO2 rate will be measured under very diverse conditions in terms of room size, number of people, type of ventilation. These systematic measurements together with the reading of precise conditions will allow us to establish a precise correspondence between the various factors and this rate. This should improve our understanding of the chains of contamination. and the circumstances that may have favored the spread of the disease. |
Countries
France