Background
In the Corona crisis, far-reaching decisions have to be made to ensure the safety of citizens. Freedom of movement has been massively restricted and the economy is under great strain. However, due to the novel situation, the information base for these decisions is still under construction. CovidSim aims to provide support for precisely these decisions and to increase public acceptance of the measures.
The research project is funded by the German Federal Ministry of Education and Research (BMBF) within the program "Civil Security - Corona Pandemic".
Project objective
Especially in system-relevant infrastructures such as railroad stations, measures have to be tested locally and specifically in order to avoid the spread of infection or even superspreader events. CovidSim aims to provide methods and techniques for simulating pandemic spread on a microscopic level for this purpose. This will allow infection spread processes to be understood, resilient measures to be derived and clearly communicated.
Implementation
Using the example of a subway station as a system-relevant infrastructure, the infection occurrence will be analyzed. Based on a study and literature research on the influencing factors of infection spreading, the simulation-relevant ones can be identified. This research will be extended with case studies on the challenges and desires of selected infrastructure operators. These findings will then be implemented in the simulator VADERE of the Munich University of Applied Sciences as well as in crowd:it of accu:rate. This allows different measures to be tested to determine whether they actually have the desired effect of reducing the spread of infection. This forms a comprehensible basis for political decisions, which can also be understood by laypersons thanks to the visual representation. The final step in the project is how the tested measures can then best be communicated so that they meet with understanding and acceptance.
