0546282 20231122145959.720211004235959.9 85116653044 6 s. E cav_un_epca*05461561613-0073263-268AachenTechnical University & CreateSpace Independent Publishing2021BrejováB.CiencialováL.HoleňaM.MrázF.PardubskáD.PlátekM.VinařT. agent based modelling epidemic modelling non-pharmaceutical interventions cav_un_auth*0231277 Vidnerová Petra UIVT-O Oddělení strojového učení Department of Machine Learning Department of Machine Learning K Ústav informatiky AV ČR, v. v. i. cav_un_auth*0100794 Neruda Roman UIVT-O Oddělení strojového učení Department of Machine Learning Department of Machine Learning Ústav informatiky AV ČR, v. v. i. cav_un_auth*0402629 Suchopárová Gabriela UIVT-O Oddělení strojového učení Department of Machine Learning CZ Ústav informatiky AV ČR, v. v. i. cav_un_auth*0270143 Berec L. CZ cav_un_auth*0402615 Diviák T. GB cav_un_auth*0264564 Kuběna Aleš Antonín UTIA-B Ekonometrie Department of Econometrics E E Department of Econometrics CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0106308 Levínský René NHU-N Ekonomický ústav AV ČR, v. v. i. cav_un_auth*0259020 Šlerka J. CZ cav_un_auth*0101206 Šmíd Martin UTIA-B Ekonometrie Department of Econometrics E E Department of Econometrics Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0091778 Trnka J. CZ cav_un_auth*0283215 Tuček V. CZ cav_un_auth*0101231 Vrbenský Karel UTIA-B Stochastická informatika Department of Stochastic Informatics SI SI Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0237467 Zajíček Milan UTIA-B Výpočetní Středisko Computer Centre VS VS Department of Image Processing CZ Ústav teorie informace a automatizace AV ČR, v. v. i. https://ics.upjs.sk/~antoni/ceur-ws.org/Vol-0000/paper12.pdf TL04000282 GA TA ČR CZ cav_un_auth*0414828 The standard SEIR equation-based models represent the state-of-the-art approach in epidemiological modelling. Their drawbacks include unrealistic infection-related contact estimates and difficulties in modelling nonpharmaceutical interventions, such as contact reductions or partial closures. In this paper, we present our agent-based model that addresses the above-mentioned issues. It works with a population of individuals (agents) and their contacts are modelled as a multi-graph social network according to real data based on a Czech county. Custom algorithmic procedures simulating testing, quarantine and partial closures of various contact types are implemented. The model can serve as a tool for relative comparison of the efficacy of various policies. It was also used for a study comparing various interventions in Czech primary and secondary schools, using a graph based on real data from a selected Czech school. cav_un_auth*0414699 ITAT 2021: Information Technologies - Applications and Theory /21./ 20210924 Heľpa SK 20210928 IN 10000 10200 10201 2022 14 NHU-N 50000 50400 50401 NHU-N 50000 50600 50602 NHU-N 50000 50700 50702 UTIA-B 10000 10200 10201 4 O 4o 20231122145959.7 NHU-N AP RVO:67985807 RVO:67985556 RVO:67985998 http://hdl.handle.net/11104/0322820 cav_un_auth*0339298 UTIA cav_un_auth*0304392 Přírodovědecká fakulta, Jihočeská univerzita v Českých Budějovicích CZ cav_un_auth*0298197 University of Manchester GB cav_un_auth*0344083 Center for Economic Research and Graduate Education – Economics Institute CERGE-EI CZ cav_un_auth*0297951 Filozofická fakulta Univerzity Karlovy FFUK CZ cav_un_auth*0391400 3. lékařská fakulta Univerzity Karlovy 3. LF UK CZ cav_un_auth*0301520 University of Zagreb HR cav_un_auth*0414829 Centrum pro modelování biologických a společenských procesů BISOP BISOP CZ S 69 0.177 16.94 0.4 5467 Q4 2021 Soubory v repozitáři: 0546282-aoa.pdf 85116653044 SCOPUS PUBMED WOS cav_un_epca*0546156 Proceedings of the 21st Conference Information Technologies – Applications and Theory (ITAT 2021) Technical University & CreateSpace Independent Publishing 2021 Aachen 263 268 1613-0073 Brejová B. 340 Ciencialová L. 340 Holeňa M. 340 Mráz F. 340 Pardubská D. 340 Plátek M. 340 Vinař T. 340