Mean field game for modeling of COVID-19 spread Full article
| Journal |
Journal of Mathematical Analysis and Applications
ISSN: 0022-247X , E-ISSN: 1096-0813 |
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| Output data | Year: 2022, Volume: 514, Number: 1, Article number : 126271, Pages count : 20 DOI: 10.1016/j.jmaa.2022.126271 | ||||||
| Tags | COVID-19, epidemic propagation, mean field games, sirc model | ||||||
| Authors |
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| Affiliations |
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Funding (1)
| 1 | Russian Science Foundation | 18-71-10044 |
Abstract:
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.
Cite:
Petrakova V.
, Krivorotko O.
Mean field game for modeling of COVID-19 spread
Journal of Mathematical Analysis and Applications. 2022. V.514. N1. 126271 :1-20. DOI: 10.1016/j.jmaa.2022.126271 WOS Scopus РИНЦ OpenAlex
Mean field game for modeling of COVID-19 spread
Journal of Mathematical Analysis and Applications. 2022. V.514. N1. 126271 :1-20. DOI: 10.1016/j.jmaa.2022.126271 WOS Scopus РИНЦ OpenAlex
Dates:
| Submitted: | Dec 27, 2021 |
| Published online: | Apr 19, 2022 |
| Published print: | May 13, 2022 |
Identifiers:
| Web of science: | WOS:000832060500022 |
| Scopus: | 2-s2.0-85128851897 |
| Elibrary: | 48433127 |
| OpenAlex: | W4224302614 |