Výsledky vyhledávání
- 1.0555395 - NHU-C 2022 RIV CZ eng L4 - Software
Berec, L. - Diviák, T. - Kuběna, A.A. - Levínský, René - Neruda, R. - Suchopárová, G. - Šlerka, J. - Šmíd, M. - Trnka, J. - Tuček, V. - Vidnerová, P. - Vrbenský, K. - Zajíček, M. - Zapletal, F.
Epicity.
Interní kód: Epicity ; 2021
Technické parametry: The program requires a Linux machine with python 3, and it runs from command line interface. Configuration files for typical tasks are included and can be modified for user’s needs. Full instructions and examples can be found in the README file.
Ekonomické parametry: 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 lock-downs, closures of different contact layers (leisure, schools, etc.), social distancing, testing and quarantine, contact tracing, and vaccination. The level of configurable parameters, including custom contact graphs, is a unique feature of this tool. Available under GNU General Public License v3.0.
Grant CEP: GA TA ČR(CZ) TL04000282
Institucionální podpora: Progres-Q24
Klíčová slova: epidemic modelling * agent based models * non-pharmaceutical interventions simulation
Obor OECD: Sociology
https://github.com/epicity-cz/model-m/releases/tag/v1.0
Trvalý link: http://hdl.handle.net/11104/0329920 - 2.0554160 - ÚI 2022 eng L4 - Software
Diviák, T. - Neruda, Roman - Suchopárová, Gabriela - Šlerka, J. - Šmíd, M. - Vidnerová, Petra
Epicity Pokusný testovací záznam.
Interní kód: Epicity ; 2021
Grant CEP: GA TA ČR(CZ) TL04000282
Institucionální podpora: RVO:67985807 ; RVO:67985556 ; RVO:67985998
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://github.com/epicity-cz/model-m/releases/tag/v1.0
Trvalý link: http://hdl.handle.net/11104/0329209
Vědecká data: Github, Externí úložiště UI (nelze zpřístupnit volně; v případě zájmu kontaktujte Oddělení transferu technologií UI - email@mailnatransfer.cz . /// The file is stored at ICS CAS internal storage and it it can not be freely accessible. If you are interested, please contact the ICS CAS Transfer department, e-mail... ... ... . - 3.0548125 - ÚI 2022 RIV CZ eng L4 - Software
Berec, Luděk - Diviák, T. - Kuběna, Aleš Antonín - Levínský, René - Neruda, Roman - Suchopárová, Gabriela - Šlerka, J. - Šmíd, Martin - Trnka, Jan - Tuček, Vít - Vidnerová, Petra - Vrbenský, Karel - Zajíček, Milan - Zapletal, František
Epicity.
Interní kód: Epicity ; 2021
Technické parametry: The program requires a Linux machine with python 3, and it runs from command line interface. Configuration files for typical tasks are included and can be modified for user’s needs. Full instructions and examples can be found in the README file.
Ekonomické parametry: 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 lock-downs, closures of different contact layers (leisure, schools, etc.), social distancing, testing and quarantine, contact tracing, and vaccination. The level of configurable parameters, including custom contact graphs, is a unique feature of this tool. Available under GNU General Public License v3.0.
Grant CEP: GA TA ČR(CZ) TL04000282
Institucionální podpora: RVO:67985807 ; RVO:67985556 ; RVO:67985998
Klíčová slova: epidemic modelling * agent based models * non-pharmaceutical interventions simulation
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8); Sociology (NHU-N); Public administration (NHU-N); Urban studies (planning and development) (NHU-N); Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) (UTIA-B)
https://github.com/epicity-cz/model-m/releases/tag/v1.0
Trvalý link: http://hdl.handle.net/11104/0324239