Discrete and Continuous Models of the COVID-19 Pandemic Propagation with a Limited Time Spent in Compartments

Авторы:

Turar, O. (Соавтор)

Mustafin, M. (Соавтор)

Serovajsky S. (Соавтор)

Azimov A. (Соавтор)

Издательство:

Springer Science and Business Media Deutschland GmbH

Дата издания

31.10.2023

Область исследования

Инжиниринг и технологии

Тип исследования

Прикладное

Аннотация (краткое описание)

The paper considers discrete and continuous models of the epidemic propagation with a limited time spent in compartments. It contains a comparative analysis carried out for the influence of process parameters on both models. The problem of system identification is solved. Namely, we first estimated the accuracy of the solution of the inverse problem on the model data. Then the system is identified based on real data on the spread of COVID-19 in Kazakhstan, after which a forecast is made for the propagation of the epidemiological situation.

Соответствие целям устойчивого развития (ЦУР)

3. 

Хорошее здоровье и благополучие

URI

https://www.scopus.com/record/display.url?eid=2-s2.0-85176613728&origin=resultslist

DOI

10.1007/978-3-031-36375-7_5

Тип публикаций

Глава книги

Сведения о финансировании

This research was supported by the Grant No. AP09260317 “Development of an intelligent system for assessing the development of COVID-19 epidemics and other infections in Kazakhstan” of al-Farabi Kazakh National University.

Данный документ располагается в коллекциях

Международные публикации ученых SU

Scopus

Файлы документа

Discrete and Continuous Models of the COVID-19 Pandemic Propagation with a Limited Time Spent in Compartments.pdf