Mean field game for modeling of COVID-19 spread | Sciact - Система учета научной деятельности ИМ СО РАН

Mean field game for modeling of COVID-19 spread Научная публикация

Журнал

Journal of Mathematical Analysis and Applications
ISSN: 0022-247X , E-ISSN: 1096-0813

Вых. Данные

Год: 2022, Том: 514, Номер: 1, Номер статьи : 126271, Страниц : 20 DOI: 10.1016/j.jmaa.2022.126271

Ключевые слова

COVID-19, epidemic propagation, mean field games, sirc model

Авторы

Petrakova Viktoriya ¹ , Krivorotko Olga ^2,3

Организации

1	Institute of Computational Modeling of SB RAS, 50/44 Akademgorodok str.
2	Institute of Computational Mathematics and Mathematical Geophysics of SB RAS, 6 Ac. Lavrentieva ave.
3	Novosibirsk State University, 2 Pirogova str.

Информация о финансировании (1)

Российский научный фонд

18-71-10044

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.

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

Поступила в редакцию:	27 дек. 2021 г.
Опубликована online:	19 апр. 2022 г.
Опубликована в печати:	13 мая 2022 г.

Web of science:	WOS:000832060500022
Scopus:	2-s2.0-85128851897
РИНЦ:	48433127
OpenAlex:	W4224302614

БД	Цитирований
Web of science	14
Scopus	21
OpenAlex	23