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Model M v1.0

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@vrka vrka released this 30 Sep 15:06

Epicity – Model M

Model M is an agent-based epidemic model for COVID-19 computational experiments on realistic multi-graph social
networks. It allows to simulate projections of main epidemic indicators with respect to various interventions. These
include lockdowns, closures of different contact layers (leisure, schools, etc.), social distancing, testing and
quarantine, contact tracing, and vaccination.

Authors

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Luděk Berec, The Czech Academy of Sciences, Institute of Information Theory and Automation, Centre for
Mathematical Biology, Institute of Mathematics, Faculty of Science, University of South Bohemia and Czech Academy of
Sciences, Biology Centre, Institute of Entomology
 3

Tomáš Diviák, The Czech Academy of Sciences, Institute of Information Theory and Automation, Department of
Criminology and Mitchell Centre for Social Network Analysis, School of Social Sciences, University of Manchester

3


Aleš Kuběna, The Czech Academy of Sciences, Institute of Information Theory and Automation 3

René Levinský, CERGE-EI 3

Roman Neruda, The Czech Academy of Sciences, Institute of Computer Science 3

Gabriela Suchopárová, The Czech Academy of Sciences, Institute of Computer Science 3

Josef Šlerka, The Czech Academy of Sciences, Institute of Information Theory and Automation, New Media Studies,
Faculty of Arts, Charles University
 3

Martin Šmíd, The Czech Academy of Sciences, Institute of Information Theory and Automation 3

Jan Trnka, The Czech Academy of Sciences, Institute of Information Theory and Automation, Department of
Biochemistry, Cell and Molecular Biology, Third Faculty of Medicine, Charles University
 3

Vít Tuček, The Czech Academy of Sciences, Institute of Computer Science, Department of Mathematics, University of
Zagreb
 3

Petra Vidnerová, The Czech Academy of Sciences, Institute of Computer Science 3

Karel Vrbenský, The Czech Academy of Sciences, Institute of Information Theory and Automation 
3


Milan Zajíček, The Czech Academy of Sciences, Institute of Information Theory and Automation 
3


František Zapletal, The Czech Academy of Sciences, Institute of Information Theory and Automation

3 Centre for Modelling of Biological and Social Processes

Acknowledgement

We would like to thank the company Seznam.cz, a.s., division Firmy.cz who provided us with the source data for model
creation (points of interests) free of charge.

The work has been supported by the "City for People, Not for Virus" project No. TL04000282 of the Technology Agency of
the Czech Republic.

How to cite

If you would like to refer to this software in a publication, please cite the following paper preprint on medrXiv:

Model-M: An agent-based epidemic model of a middle-sized municipality

Ludek Berec, Tomas Diviak, Ales Kubena, Rene Levinsky, Roman Neruda, Gabriela Suchoparova, Josef Slerka, Martin Smid,
Jan Trnka, Vit Tucek, Petra Vidnerova, Milan Zajicek, Frantisek Zapletal

medRxiv 2021.05.13.21257139; doi: https://doi.org/10.1101/2021.05.13.21257139

@article {Berec2021.05.13.21257139,
	author = {Berec, Ludek and Diviak, Tomas and Kubena, Ales and Levinsky, Rene 
  and Neruda, Roman and Suchoparova, Gabriela and Slerka, Josef and Smid,  Martin
  and Trnka, Jan and Tucek, Vit and Vidnerova, Petra and Zajicek, Milan 
  and Zapletal, Frantisek},
	title = {Model-M: An agent-based epidemic model of a middle-sized municipality},
	elocation-id = {2021.05.13.21257139},
	year = {2021},
	doi = {10.1101/2021.05.13.21257139},
	publisher = {Cold Spring Harbor Laboratory Press},
	URL = {https://www.medrxiv.org/content/10.1101/2021.05.13.21257139v1},
	eprint = {https://www.medrxiv.org/content/10.1101/2021.05.13.21257139v1.full.pdf},
	journal = {medRxiv}
}