Mean field game for modeling of COVID-19 spread › Обзор исследований

Standard

Mean field game for modeling of COVID-19 spread. / Petrakova, Viktoriya; Krivorotko, Olga.

в: Journal of Mathematical Analysis and Applications, Том 514, № 1, 126271, 01.10.2022.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Petrakova, V & Krivorotko, O 2022, 'Mean field game for modeling of COVID-19 spread', Journal of Mathematical Analysis and Applications, Том. 514, № 1, 126271. https://doi.org/10.1016/j.jmaa.2022.126271

APA

Petrakova, V., & Krivorotko, O. (2022). Mean field game for modeling of COVID-19 spread. Journal of Mathematical Analysis and Applications, 514(1), [126271]. https://doi.org/10.1016/j.jmaa.2022.126271

Vancouver

Petrakova V, Krivorotko O. Mean field game for modeling of COVID-19 spread. Journal of Mathematical Analysis and Applications. 2022 окт. 1;514(1):126271. doi: 10.1016/j.jmaa.2022.126271

Author

Petrakova, Viktoriya ; Krivorotko, Olga. / Mean field game for modeling of COVID-19 spread. в: Journal of Mathematical Analysis and Applications. 2022 ; Том 514, № 1.

BibTeX

@article{f69c2f6ff08140d6b1014a391865b02d,

title = "Mean field game for modeling of COVID-19 spread",

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.",

keywords = "COVID-19, Epidemic propagation, Mean field games, SIRC model",

author = "Viktoriya Petrakova and Olga Krivorotko",

note = "Funding Information: This work was supported by the Russian Science Foundation (project No. 18-71-10044 ). Publisher Copyright: {\textcopyright} 2022 Elsevier Inc.",

year = "2022",

month = oct,

day = "1",

doi = "10.1016/j.jmaa.2022.126271",

language = "English",

volume = "514",

journal = "Journal of Mathematical Analysis and Applications",

issn = "0022-247X",

publisher = "Academic Press Inc.",

number = "1",

}

RIS

TY - JOUR

T1 - Mean field game for modeling of COVID-19 spread

AU - Petrakova, Viktoriya

AU - Krivorotko, Olga

PY - 2022/10/1

Y1 - 2022/10/1

N2 - 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.

AB - 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.

KW - COVID-19

KW - Epidemic propagation

KW - Mean field games

KW - SIRC model

UR - http://www.scopus.com/inward/record.url?scp=85128851897&partnerID=8YFLogxK

U2 - 10.1016/j.jmaa.2022.126271

DO - 10.1016/j.jmaa.2022.126271

M3 - Article

C2 - 35462634

AN - SCOPUS:85128851897

VL - 514

JO - Journal of Mathematical Analysis and Applications

JF - Journal of Mathematical Analysis and Applications

SN - 0022-247X

IS - 1

M1 - 126271

ER -

ID: 36028711