Please use this identifier to cite or link to this item: http://repo.knmu.edu.ua/handle/123456789/30515
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dc.contributor.authorChumachenko, Dmytro-
dc.contributor.authorMeniailov, Ievgen-
dc.contributor.authorBazilevych, Kseniia-
dc.contributor.authorChumachenko, Tetyana-
dc.contributor.authorЧумаченко, Тетяна Олександрівна-
dc.contributor.authorЧумаченко, Татьяна Александровна-
dc.contributor.authorYakovlev, Sergiy-
dc.date.accessioned2022-01-31T07:36:11Z-
dc.date.available2022-01-31T07:36:11Z-
dc.date.issued2022-
dc.identifier.citationOn intelligent agent-based simulation of COVID-19 epidemic process in Ukraine / D. Chumachenko, Ie. Meniailov, K. Bazilevych, T. Chumachenko, S. Yakovlev // Procedia Computer Science. – 2022. – Volume 198. – P. 706–711.en_US
dc.identifier.urihttps://repo.knmu.edu.ua/handle/123456789/30515-
dc.description.abstractCOVID-19 has impacted all areas of human activity around the world. Modern society has not faced such a challenge. Affordable travel and flights between continents allowed the virus to rapidly spread to all corners of the world. An effective tool for the development of anti-epidemic measures is mathematical modeling. The paper proposes a simulation model of COVID-19 propagation based on an agent-based approach. The case of the spread of the epidemic process before vaccination is considered. To verify the model, we used the data of official statistics on the incidence of COVID-19 in Ukraine, provided by the Center for Public Health of the Ministry of Health of Ukraine. The constructed model makes it possible to identify the factors influencing the development of the COVID-19 epidemic in a certain area. Посилання на статтю https://doi.org/10.1016/j.procs.2021.12.310en_US
dc.language.isoenen_US
dc.subjectagent-based simulationen_US
dc.subjectepidemic processen_US
dc.subjectCOVID-19en_US
dc.subjectepidemic modelen_US
dc.subjectcompartement modelen_US
dc.titleOn intelligent agent-based simulation of COVID-19 epidemic process in Ukraineen_US
dc.typeArticleen_US
Appears in Collections:Наукові праці. Кафедра епідеміології

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