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dc.contributor.authorKosovych, Ihor
dc.contributor.authorCherevko, Ihor
dc.contributor.authorVyklyuk, Yaroslav
dc.contributor.authorNevinskyi, Denys
dc.date.accessioned2022-11-19T11:25:37Z
dc.date.available2022-11-19T11:25:37Z
dc.date.issued2022-09-26
dc.identifier.citationScopusuk_UA
dc.identifier.issn2770-5218
dc.identifier.urihttps://archer.chnu.edu.ua/xmlui/handle/123456789/5769
dc.description.abstractn this research, we used the method of mobile cellular automata to study the dynamics of COVID-19. A number of simulation scenarios that take into account different quarantine restrictions are considered and compared. The simulation results revealed that self-isolation regimen is the most effective way to reduce the rate of infection. The simulation model that was developed in the work allows you to easily adapt and take into account new factors of quarantine restrictions.uk_UA
dc.language.isoenuk_UA
dc.publisherIEEEuk_UA
dc.relation.ispartofseries12th International Conference on Advanced Computer Information Technologies (ACIT2022, 26-28 September 2022);DOI: 10.1109/ACIT54803.2022.9913172
dc.subjectCOVID-19 , Adaptation models , Epidemics , Analytical models , Infectious diseases , Computational modeling , Simulationuk_UA
dc.titleModeling of different scenarios for the spreadof COVID-19 by using the cellular automatauk_UA
dc.typeArticleuk_UA


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