ULiège's SARS-CoV-2 dashboard

In order to strengthen the monitoring of the evolution of the epidemic and to be able to adapt the prevention measures, ULiège has set up a dashboard (or "Risk Management Cockpit"), based on seven axes.


By setting up this epidemiological guidance dashboard by means of an interdisciplinary scientific approach, the aim is to formulate recommendations contributing to a global and continuous improvement of prevention measures against COVID-19 and to define the conditions for a return to normal life. To feed this dashboard, 2,500 volunteers from the university community will be invited to participate in a large-scale study.

The 7 axes of the dashboard

1- Evolution of the positivity rate of salivary tests among students and staff of the University of Liège.

2- Evolution of hospitalisations in hospitals close to the ULiège campuses (CHU de Liège, CHR de la Citadelle, Vivalia Arlon).

3- Compliance and acceptability of control measures (barrier measures, screening tests, etc.) among students and staff at the University of Liège. A field compliance survey is conducted. It is coupled with an online acceptability survey that students and staff members of the University of Liège can complete here at any time

4- Seroprevalence study conducted among ULiège student and staff volunteers.

Learn more about the seroprevalence study  

5- Vaccination hesitation : as the experience and opinion on the proposed vaccination in the context of this pandemic is essential, a survey is conducted among students and staff members.

6- Measurements of the quality of the environment: temperature, humidity, luminosity, CO2 levels, ventilation, etc. in some thirty ULiège locations reception and teaching facilities: library, classrooms, amphitheatres, open offices, practical work rooms, computer rooms, meeting rooms, WCs, .... The data are collected from already installed or newly installed sensors, and from mobile air sampling equipment.

7- Mathematical model of the epidemic: ULiège has developed a calculation model to simulate the epidemiological evolution in a targeted population (such as the university population), under control by means of saliva tests and in interaction with its external environment.

This model takes into account many variables, namely the positivity rate, seroprevalence (proportion of people with antibodies), the fact that the antibodies are neutralising (capable of neutralising the virus), the vaccination status, the variants present in the population, including vaccine escape variants (viruses that are resistant to vaccine immunity), compliance with barrier gestures, the type of mask used (surgical, cloth mask, etc.), adherence to the tests, the quality of air (CO2, etc.), etc.

The different data collected for the development of the dashboard will feed and refine the model, with the aim of monitoring the different stages and conditions of decontamination.

Results of the dashboard 

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