Stochastic Modeling of Time- and Place-Local Contacts of Individuals in an Epidemic Process Научная публикация
| Журнал |
Journal of Applied and Industrial Mathematics
ISSN: 1990-4789 , E-ISSN: 1990-4797 |
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| Вых. Данные | Год: 2023, Том: 17, Номер: 2, Страницы: 355-369 Страниц : 15 DOI: 10.1134/s199047892302014x | ||
| Ключевые слова | stochastic process, differential equation with discontinuous right-hand side, Monte Carlo method, computational experiment, epidemiology | ||
| Авторы |
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| Организации |
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Информация о финансировании (1)
| 1 | Омский филиал ФГБУН «Институт математики им. С.Л. Соболева СО РАН». | FWNF-2022-0003 |
Реферат:
A continuous–discrete stochastic model is presented that describes the dynamics of the number of susceptible and infectious individuals visiting a certain facility. The individuals enter the facility both separately and as part of groups of individuals arranged according to some characteristics. The duration of stay of individuals on the territory of the facility is specified using distributions other than exponential. Individuals who entered the facility as part of a certain group leave the facility as part of the same group. Infectious individuals spread viral particles contained in the airborne mixture they secrete. A certain amount of the airborne mixture containing viral particles settles on the surfaces of various objects in places of the facility that are generally accessible to individuals. The area of the infected surface (the surface containing the settled airborne mixture with viral particles) is described using a linear differential equation with a jumping right-side and discontinuous initial data. Susceptible individuals contacting infectious individuals and contaminated surfaces may be infected. A probabilistic formalization of the model is presented, and an algorithm for numerical simulation of the dynamics of the components of the constructed stochastic process using the Monte Carlo method is described. The results of a numerical study of the expectations of stochastic variables describing the number of contacts of susceptible individuals with infectious ones and with infected surfaces per one susceptible individual for a fixed period of time are presented.
Библиографическая ссылка:
Pertsev N.V.
, V. A. Topchii V.A.
, Loginov K.K.
Stochastic Modeling of Time- and Place-Local Contacts of Individuals in an Epidemic Process
Journal of Applied and Industrial Mathematics. 2023. V.17. N2. P.355-369. DOI: 10.1134/s199047892302014x Scopus РИНЦ OpenAlex
Stochastic Modeling of Time- and Place-Local Contacts of Individuals in an Epidemic Process
Journal of Applied and Industrial Mathematics. 2023. V.17. N2. P.355-369. DOI: 10.1134/s199047892302014x Scopus РИНЦ OpenAlex
Оригинальная:
Перцев Н.В.
, Топчий В.А.
, Логинов К.К.
Стохастическое моделирование локальных по времени и местоположению контактов индивидуумов в эпидемическом процессе
Сибирский журнал индустриальной математики. 2023. Т.26. №2. С.94 - 112. DOI: 10.33048/SIBJIM.2023.26.209 РИНЦ
Стохастическое моделирование локальных по времени и местоположению контактов индивидуумов в эпидемическом процессе
Сибирский журнал индустриальной математики. 2023. Т.26. №2. С.94 - 112. DOI: 10.33048/SIBJIM.2023.26.209 РИНЦ
Даты:
| Поступила в редакцию: | 21 нояб. 2022 г. |
| Принята к публикации: | 12 янв. 2023 г. |
| Опубликована в печати: | 7 авг. 2023 г. |
| Опубликована online: | 7 авг. 2023 г. |
Идентификаторы БД:
| Scopus: | 2-s2.0-85167507949 |
| РИНЦ: | 62281497 |
| OpenAlex: | W4385640086 |
Цитирование в БД:
Пока нет цитирований