UT involved in dashboard to predict local COVID-19 outbreaks

| Redactie

The University of Twente is part of a national project developing a smart dashboard to predict regional outbreaks of COVID-19 in the Netherlands. The research is led by Eindhoven University of Technology (TU/e) with UT and TU/e professor Nelly Litvak as the project leader.

Pilot prototype, April 2020. Photo: ilionx

The research just received funding of half a million euros from ZonMW. However, the prototype of the dashboard has been in the making since March, when the team began with their research to predict regional COVID-19 outbreaks based on telephone data. The grant will now be used to improve these predictions through data from the COVID Radar App.

The dashboard will be a map of the Netherlands, divided into municipalities and security regions. It should show the historical and current patterns of infections and movements, and also visualize a risk assessment of potential sources of infection in the near future.

The first test version of the dashboard is expected to be ready in three months. It should allow safety regions to detect a potential local outbreaks in time and take faster and more effective measures. The safety regions of Groningen and Twente have already promised to provide the team with feedback in order to optimize the dashboard.

project partners

The basis for identifying the infections is the COVID Radar app, developed by Leiden University Medical Center (LUMC). This data is then combined with anonymized and aggregated mobility data. In addition to TU/e and LUMC, the team consists of Utrecht University, the University of Twente, data analytics company Mezuro, and IT service provider ilionx. The project leader Nelly Litvak is affiliated with both Eindhoven University of Technology and University of Twente.


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