• Corpus ID: 227126820

A realistic agent-based simulation model for COVID-19 based on a traffic simulation and mobile phone data.

@article{Muller2020ARA,
  title={A realistic agent-based simulation model for COVID-19 based on a traffic simulation and mobile phone data.},
  author={Sebastian Muller and Michael Balmer and William Charlton and Ricardo Ewert and Andreas Neumann and Christian Rakow and Tilmann Schlenther and Kai Nagel},
  journal={arXiv: Physics and Society},
  year={2020}
}
Epidemiological simulations as a method are used to better understand and predict the spreading of infectious diseases, for example of COVID-19. This paper presents an approach that combines person-centric data-driven human mobility modelling with a mechanistic infection model and a person-centric disease progression model. The model includes the consequences of disease import, of changed activity participation rates over time (coming from mobility data), of masks, of indoors vs.\ outdoors… 

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