Agent-based modelling and simulation of virus spreading based on activity trajectories from transport modelling

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Event details

Date 18.02.2025
Hour 15:0016:30
Speaker Kai Nagel is professor for Transport Systems Planning and Transport Telematics at TU Berlin, Germany. He was trained in physics and climate research, and holds a Ph.D. in computer science from the University of Cologne, Germany. He worked at Los Alamos National Laboratory, USA, from 1995 to 1999, at ETH Zurich from 1999 to 2004, and holds his current post since 2004. His research interests include large-scale transportation simulations, modeling and simulation of socio-economic systems, and large-scale computing.
He is one of the authors of the open source MATSim software (Multi-Agent Transport Simulation, see www.matsim.org).
Location
Category Conferences - Seminars
Event Language English

Activity-based models, as are common in the transport community, are good starting points for
virus spreading models, since they contain information about where people meet and for how long.
Additional modelling effort is needed about the precise mechanics about the infection, and about the
disease progression. For an aerosol-based infection such as COVID, in addition real-time data about activity
participation levels and about the weather is needed. I will show how such a model was implemented and
used during the COVID pandemics in Germany.

Practical information

  • Informed public
  • Free
  • This event is internal

Organizer

  • Transp-or - Michel Bierlaire

Contact

  • Mila Bender

Tags

Activity-based models

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