Number of the records: 1  

Epicity

  1. 1.
    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.
    Internal code: Epicity ; 2021
    Technical parameters: 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.
    Economic parameters: 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.
    R&D Projects: GA TA ČR(CZ) TL04000282
    Institutional support: RVO:67985807 ; RVO:67985556 ; RVO:67985998
    Keywords : epidemic modelling * agent based models * non-pharmaceutical interventions simulation
    OECD category: 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

    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.
    Permanent Link: http://hdl.handle.net/11104/0324239

     
     
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.