Data-driven agent-based modeling for infectious diseases

Kurzfassung

On the poster we present an agent-based modeling and its different components. Agent-based models are microscale models that model each agent, or in our case persons, individually and simulate their course of infection as well as the infection of other agents. In the poster, we mainly focused on the data that flows into and influences the model. This includes mobility data from traffic research, which represents the daily movements of the agents, or pathogen data, i.e. data that represents the individual infection processes of the agents. Furthermore, the entire project is programmed in C++ and parallelized so that we obtain a high-performance model. We develop the whole thing using the best practices of software modelling, i.e. CL/CI workflows, peer reviewing, unit testing, etc. Translated with www.DeepL.com/Translator (free version)