C17R - Modelling and Simulation of a SIR-type Epidemic with Cellular Automata and Ordinary Differential Equations

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).

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.

Definition

Florian Miksch | C. Haim | Günter Schneckenreither

Simulation Notes Europe SNE 25(1), 2015, 49-54
DOI: 10.11128/sne.25.bn17r.10283

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H. Hötzendorfer, N. Popper, F. Breitenecker

SNE 14(41/42), 2004, 42-44

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Solutions

Stephan Reichl | Florian Miksch | Günter Schneckenreiter

Simulation Notes Europe SNE 27(1), 2017, 51-56
DOI: 10.11128/sne.27.bn17.10368

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Anita Gerstenmayer | Florian Miksch

Simulation Notes Europe SNE 23(2), 2013, 107-110
DOI: 10.11128/sne.23.bn17.10193

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Tobias Schwatinski | Thorsten Pawletta

Simulation Notes Europe SNE 21(1), 2011, 57-60
DOI: 10.11128/sne.21.bn17.10053

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Stefan Emrich, Ch. Simon, Th. Kadiofsky, J. Vilsecker

SNE 18(3-4), 2008, 69-70

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Štefan Emrich, Hannes Glavanovits, Tanaz Khorzad

SNE 16(3-4), 2006, 77-78

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Magda Moczydlowska, Lukas Lapinski, Daniel Leitner

SNE 16(1), 2006, 38

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H. Hötzendorfer, F. Breitenecker

SNE 14(41/42), 2004, 45

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