Mean field game for modeling of COVID-19 spread()

The paper presents one of the possible approaches to pandemic spread modeling. The proposed model is based on the mean-field control inside separate groups of population, namely, suspectable (S), infected (I), removed (R) and cross-immune (C) ones. The numerical algorithm to solve this problem ensur...

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Detalles Bibliográficos
Autores principales: Petrakova, Viktoriya, Krivorotko, Olga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Regular Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017063/
https://www.ncbi.nlm.nih.gov/pubmed/35462634
http://dx.doi.org/10.1016/j.jmaa.2022.126271
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author Petrakova, Viktoriya
Krivorotko, Olga
author_facet Petrakova, Viktoriya
Krivorotko, Olga
author_sort Petrakova, Viktoriya
collection PubMed
description The paper presents one of the possible approaches to pandemic spread modeling. The proposed model is based on the mean-field control inside separate groups of population, namely, suspectable (S), infected (I), removed (R) and cross-immune (C) ones. The numerical algorithm to solve this problem ensures conservation of the total population mass during timeline. The numerical experiments demonstrate modeling results for COVID-19 spread in Novosibirsk (Russia) for two 100-day periods.
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spelling pubmed-90170632022-04-19 Mean field game for modeling of COVID-19 spread() Petrakova, Viktoriya Krivorotko, Olga J Math Anal Appl Regular Articles The paper presents one of the possible approaches to pandemic spread modeling. The proposed model is based on the mean-field control inside separate groups of population, namely, suspectable (S), infected (I), removed (R) and cross-immune (C) ones. The numerical algorithm to solve this problem ensures conservation of the total population mass during timeline. The numerical experiments demonstrate modeling results for COVID-19 spread in Novosibirsk (Russia) for two 100-day periods. Elsevier Inc. 2022-10-01 2022-04-19 /pmc/articles/PMC9017063/ /pubmed/35462634 http://dx.doi.org/10.1016/j.jmaa.2022.126271 Text en © 2022 Elsevier Inc. All rights reserved. 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 Regular Articles
Petrakova, Viktoriya
Krivorotko, Olga
Mean field game for modeling of COVID-19 spread()
title Mean field game for modeling of COVID-19 spread()
title_full Mean field game for modeling of COVID-19 spread()
title_fullStr Mean field game for modeling of COVID-19 spread()
title_full_unstemmed Mean field game for modeling of COVID-19 spread()
title_short Mean field game for modeling of COVID-19 spread()
title_sort mean field game for modeling of covid-19 spread()
topic Regular Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017063/
https://www.ncbi.nlm.nih.gov/pubmed/35462634
http://dx.doi.org/10.1016/j.jmaa.2022.126271
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