Review of the Mean Field Models for Predicting the Spread of Viral Infections Научная публикация
| Конференция |
IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics, and Biomedicine 28-29 сент. 2023 , Новосибирск/Екатеринбург |
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| Сборник | Труды 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB) Сборник, IEEE. 2023. |
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| Вых. Данные | Год: 2023, Номер статьи : 10329859, Страниц : 6 DOI: 10.1109/csgb60362.2023.10329859 | ||||||
| Ключевые слова | epidemiological models, mean field game, mean f ield control, SIR model, optimal control | ||||||
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Информация о финансировании (2)
| 1 | Институт математики им. С.Л. Соболева СО РАН | FWNF-2022-0009 |
| 2 | Российский научный фонд | 23-71-10068 |
Реферат:
Models for the dynamics and control of disease spread are now developing rapidly and play a central role in making decisions about the introduction of various antiviral measures. One of the approaches to solving such problems may be the use of mean field models, which, on the one hand, allow to take into account some stochastic processes occurring in the population and, on the other hand, are expressed in the form of systems with a small number of equations, the solution of which does not require large computing power. This work is devoted to a review of mean field models now used to solve epidemiological problems, as well as a comparison of four specific approaches that can be formulated within the framework of mean field theory.
Библиографическая ссылка:
Petrakova V.
, Krivorotko O.
, Neverov A.
Review of the Mean Field Models for Predicting the Spread of Viral Infections
В сборнике Труды 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB). – IEEE., 2023. – C.45-50. DOI: 10.1109/csgb60362.2023.10329859 Scopus OpenAlex
Review of the Mean Field Models for Predicting the Spread of Viral Infections
В сборнике Труды 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB). – IEEE., 2023. – C.45-50. DOI: 10.1109/csgb60362.2023.10329859 Scopus OpenAlex
Даты:
| Опубликована в печати: | 4 дек. 2023 г. |
| Опубликована online: | 4 дек. 2023 г. |
Идентификаторы БД:
| Scopus: | 2-s2.0-85180364376 |
| OpenAlex: | W4389314556 |