Výsledky vyhledávání

  1. 1.
    0557330 - BC 2023 RIV DE eng J - Článek v odborném periodiku
    Berec, Luděk - Levínský, R. - Weiner, J. - Šmíd, Martin - Neruda, Roman - Vidnerová, Petra - Suchopárová, Gabriela
    Importance of vaccine action and availability and epidemic severity for delaying the second vaccine dose.
    Scientific Reports. Roč. 12, č. 1 (2022), č. článku 7638. ISSN 2045-2322. E-ISSN 2045-2322
    Grant CEP: GA TA ČR(CZ) TL04000282
    Institucionální podpora: RVO:60077344 ; RVO:67985556 ; RVO:67985807
    Klíčová slova: covid-19 * vaccine efficacy * inter-dose period * epidemic modelling * vaccination * second dose delay
    Obor OECD: Immunology; Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) (UIVT-O); Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) (UTIA-B)
    Impakt faktor: 4.6, rok: 2022
    Způsob publikování: Open access
    https://www.nature.com/articles/s41598-022-11250-4.pdf
    Trvalý link: https://hdl.handle.net/11104/0333827
     
     
  2. 2.
    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
     
     
  3. 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
     
     
  4. 4.
    0547912 - NHU-C 2022 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
    Vidnerová, P. - Neruda, R. - Suchopárová, G. - Berec, L. - Diviák, T. - Kuběna, A. - Levínský, René - Šlerka, J. - Šmíd, M. - Trnka, J. - Tuček, V. - Vrbenský, K. - Zajíček, M.
    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: Progres-Q24
    Klíčová slova: agent based modelling * epidemic modelling * non-pharmaceutical interventions
    Obor OECD: Urban studies (planning and development)
    https://ics.upjs.sk/~antoni/ceur-ws.org/Vol-0000/paper12.pdf
    Trvalý link: http://hdl.handle.net/11104/0324071
     
     
  5. 5.
    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
    Název souboruStaženoVelikostKomentářVerzePřístup
    0546282-aoa.pdf12924.6 KBOA CC BY 4.0Vydavatelský postprintpovolen
     
     


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