dc.contributor.author | Kosovych, Ihor | |
dc.contributor.author | Cherevko, Ihor | |
dc.contributor.author | Vyklyuk, Yaroslav | |
dc.contributor.author | Nevinskyi, Denys | |
dc.date.accessioned | 2022-11-19T11:25:37Z | |
dc.date.available | 2022-11-19T11:25:37Z | |
dc.date.issued | 2022-09-26 | |
dc.identifier.citation | Scopus | uk_UA |
dc.identifier.issn | 2770-5218 | |
dc.identifier.uri | https://archer.chnu.edu.ua/xmlui/handle/123456789/5769 | |
dc.description.abstract | n 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.iso | en | uk_UA |
dc.publisher | IEEE | uk_UA |
dc.relation.ispartofseries | 12th International Conference on Advanced Computer Information Technologies (ACIT2022, 26-28 September 2022);DOI: 10.1109/ACIT54803.2022.9913172 | |
dc.subject | COVID-19 , Adaptation models , Epidemics , Analytical models , Infectious diseases , Computational modeling , Simulation | uk_UA |
dc.title | Modeling of different scenarios for the spreadof COVID-19 by using the cellular automata | uk_UA |
dc.type | Article | uk_UA |