Spread of COVID-19 infection in Berlin based on a simulation model (MATSim-EpiSim): Place of residence of individual residents, color-coded according to their infection status over time. © Kai Nagel
During the corona pandemic, the results of your simulations were already the basis for political decision-making, Mr. Nagel.
Nagel: Yes, my department at the TU Berlin simulates people's mobility behavior using anonymized mobile phone data with the help of agent systems, among other things.
During the corona period, we were able to see how often people meet, how they use public transport and so on. From this, we estimated both the infection rates and the likely impact of coronavirus protection measures.
In this context, we used the MATSim-EpiSim model, which can simulate epidemic outbreaks, to create an interactive visualization of a possible outbreak scenario: a 90-day time lapse that shows the place of residence of individual residents and their infection status over time.