On intelligent agent-based simulation of COVID-19 epidemic process in Ukraine

COVID-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 math...

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Autores principales: Chumachenko, Dmytro, Meniailov, Ievgen, Bazilevych, Kseniia, Chumachenko, Tetyana, Yakovlev, Sergiy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790955/
https://www.ncbi.nlm.nih.gov/pubmed/35103090
http://dx.doi.org/10.1016/j.procs.2021.12.310
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author Chumachenko, Dmytro
Meniailov, Ievgen
Bazilevych, Kseniia
Chumachenko, Tetyana
Yakovlev, Sergiy
author_facet Chumachenko, Dmytro
Meniailov, Ievgen
Bazilevych, Kseniia
Chumachenko, Tetyana
Yakovlev, Sergiy
author_sort Chumachenko, Dmytro
collection PubMed
description COVID-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.
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spelling pubmed-87909552022-01-26 On intelligent agent-based simulation of COVID-19 epidemic process in Ukraine Chumachenko, Dmytro Meniailov, Ievgen Bazilevych, Kseniia Chumachenko, Tetyana Yakovlev, Sergiy Procedia Comput Sci Article COVID-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. The Author(s). Published by Elsevier B.V. 2022 2022-01-26 /pmc/articles/PMC8790955/ /pubmed/35103090 http://dx.doi.org/10.1016/j.procs.2021.12.310 Text en © 2021 The Author(s). Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Chumachenko, Dmytro
Meniailov, Ievgen
Bazilevych, Kseniia
Chumachenko, Tetyana
Yakovlev, Sergiy
On intelligent agent-based simulation of COVID-19 epidemic process in Ukraine
title On intelligent agent-based simulation of COVID-19 epidemic process in Ukraine
title_full On intelligent agent-based simulation of COVID-19 epidemic process in Ukraine
title_fullStr On intelligent agent-based simulation of COVID-19 epidemic process in Ukraine
title_full_unstemmed On intelligent agent-based simulation of COVID-19 epidemic process in Ukraine
title_short On intelligent agent-based simulation of COVID-19 epidemic process in Ukraine
title_sort on intelligent agent-based simulation of covid-19 epidemic process in ukraine
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790955/
https://www.ncbi.nlm.nih.gov/pubmed/35103090
http://dx.doi.org/10.1016/j.procs.2021.12.310
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