Výsledky vyhledávání

0572294 - NHU-C 2024 RIV NL eng J - Článek v odborném periodiku
Berec, L. - Diviák, T. - Kuběna, A. - Levínský, René - Neruda, R. - Suchopárová, G. - Šlerka, J. - Šmíd, M. - Trnka, J. - Tuček, V. - Vidnerová, P. - Zajíček, M.
On the contact tracing for COVID-19: a simulation study.
Epidemics. Roč. 43, June (2023), č. článku 100677. ISSN 1755-4365. E-ISSN 1878-0067
Grant CEP: GA TA ČR(CZ) TL04000282
Institucionální podpora: Cooperatio-COOP
Klíčová slova: epidemiological model * agent-based model * non-pharmaceutical interventions
Obor OECD: Applied Economics, Econometrics
Impakt faktor: 3.8, rok: 2022
Způsob publikování: Open access
https://doi.org/10.1016/j.epidem.2023.100677
Trvalý link: https://hdl.handle.net/11104/0343038

0559305 - BC 2023 RIV GB eng J - Článek v odborném periodiku
Berec, Luděk - Smyčka, J. - Levínský, René - Hromádková, Eva - Šoltés, Michal - Šlerka, J. - Tuček, V. - Trnka, J. - Šmíd, Martin - Zajíček, Milan - Diviák, T. - Neruda, Roman - Vidnerová, Petra
Delays, Masks, the Elderly, and Schools: First Covid-19 Wave in the Czech Republic.
Bulletin of Mathematical Biology. Roč. 84, č. 8 (2022), č. článku 75. ISSN 0092-8240. E-ISSN 1522-9602
Grant CEP: GA MŠMT(CZ) EF16_013/0001740
Institucionální podpora: RVO:60077344 ; RVO:67985556 ; RVO:67985807 ; RVO:67985998
Klíčová slova: covid-19 pandemic * non-pharmaceutical interventions * Approximate Bayesian computation
Obor OECD: Epidemiology; Statistics and probability (UTIA-B); Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) (UIVT-O); Demography (NHU-N)
Impakt faktor: 3.5, rok: 2022
Způsob publikování: Omezený přístup
https://link.springer.com/article/10.1007/s11538-022-01031-5
Trvalý link: https://hdl.handle.net/11104/0333831

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

0546282 - ÚI 2022 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
Vidnerová, Petra - Neruda, Roman - Suchopárová, Gabriela - Berec, L. - Diviák, T. - Kuběna, Aleš Antonín - Levínský, René - Šlerka, J. - Šmíd, Martin - Trnka, J. - Tuček, V. - Vrbenský, Karel - Zajíček, Milan … celkem 14 autorů
Simulation of non-pharmaceutical interventions in an agent based epidemic model.
Proceedings of the 21st Conference Information Technologies – Applications and Theory (ITAT 2021). Aachen: Technical University & CreateSpace Independent Publishing, 2021 - (Brejová, B.; Ciencialová, L.; Holeňa, M.; Mráz, F.; Pardubská, D.; Plátek, M.; Vinař, T.), s. 263-268. ISSN 1613-0073.
[ITAT 2021: Information Technologies - Applications and Theory /21./. Heľpa (SK), 24.09.2021-28.09.2021]
Grant CEP: GA TA ČR(CZ) TL04000282
Institucionální podpora: RVO:67985807 ; RVO:67985556 ; RVO:67985998
Klíčová slova: agent based modelling * epidemic modelling * non-pharmaceutical interventions
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://ics.upjs.sk/~antoni/ceur-ws.org/Vol-0000/paper12.pdf
Trvalý link: http://hdl.handle.net/11104/0322820