MEmilio Workshop on Multiscale Infectious Disease Modeling

Kurzfassung

Infectious disease dynamics, in particular, epidemic outbreaks and pandemics are often heterogeneous on a spatial scale and with respect to demography. In computationaly epidemiology and infectious disease dynamics, models are often implemented in Python or R. However, this approach might limit the possibility to build large-scale models including an advanced level of detail, e.g., in demography, spatial resolution, individual immunity or to run many simulations in a short time frame. MEmilio addresses this challenge by providing a high-performance framework with an efficient backend language and an easy-to-use python frontend. It allows for large-scale modeling in short time frames to be used in research, policy advice, and education. In this pre-conference workshop, we will look on how to set up metapopulation models with many regions or agent-based models with any user-defined or census given household structure.