Реферат: The mathematical models for analysis and forecasting of COVID-19 pandemic based on time-series models, differential equations (SIR models based on odinary, partial and stochastic differential equations), agent-based models, mean field games and its combinations are considered. Inverse problems for mathematical models in epidemiology of COVID-19 are formulated in the variational form. The numerical results of modeling and scenarios of COVID-19 propagation in Novosibirsk region are demonstrated and discussed. The epidemiology parameters of COVID-19 propagation in Novosibirsk region (contagiosity, hospitalization and mortality rates, asymptomatic cases) are identified. The combination of differential and agent-based models increases the quality of forecast scenarios.

Библиографическая ссылка: Криворотько О.И. , Кабанихин С.И.
О математическом моделировании COVID-19
Сибирские электронные математические известия (Siberian Electronic Mathematical Reports). 2023. Т.20. №2. С.1211-1268. DOI: 10.33048/semi.2023.20.075 WOS Scopus

Даты:

Поступила в редакцию:	12 дек. 2022 г.
Опубликована в печати:	21 нояб. 2023 г.
Опубликована online:	21 нояб. 2023 г.

Идентификаторы БД:

Web of science:	WOS:001102184700001
Scopus:	2-s2.0-85179653188

Цитирование в БД:

БД	Цитирований
Web of science	2
Scopus	2

Альметрики: