Benchmark C17R Modelling and Simulation of a SIR-type Epidemic with Cellular Automata and Ordinary Differential Equations investigates a classical population model for the spread of infection diseases (SIR model) and an inhomogeneous spatial approach using cellular automata. The benchmark puts emphasis on  identification of parameters based on an abstract time discrete conceptual model. Tasks include validation and analysis of identification, investigation on the impact of different spatial dynamics, and simulation scenarios for confining epidemic outbreaks that involve state-dependent interventions (vaccinations).

This benchmark is suited for educational purpose in various ways. In modelling, macroscopic and microscopic approaches can be compared, and modelling with advanced cellular automata can be studied. In implementation, discrete processes are to be formulated properly for comparative investigations. In application – spread of disease and vaccination – the benchmark is a powerful basis for testing different vaccination strategies.

Modellers and simulationists are invited to prepare,to realise, and to submit a

• C17R Benchmark Report with sufficient and adequate documentation of implementations and results, or a
• C17R Benchmark Study presenting aditionally e.g. different / alternative / comparative modelling approaches and sketching analysis variants or supplemental model experiments.