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Journal of Siberian Federal University. Mathematics & Physics, 2023, Volume 16, Issue 1, Pages 87–97 (Mi jsfu1059)  

SIRV-D optimal control model for COVID-19 propagation scenarios

Viktoriya S. Petrakova, Vladimir V. Shaidurov

Institute of Computational Modelling SB RAS, Krasnoyarsk, Russian Federation
References:
Abstract: The article presents the compartmental differential formulation of SIR-type for modeling the dynamics of the incidence of viral infections, in particular COVID-19, taking into account the ongoing vaccination campaign and the possibility of losing immunity during some time period after vaccination or a disease. The proposed model is extended by considering the coefficients of the model as dependent on the social loyalty of the population to isolation and vaccination. This allows us to formulate the optimal control problem and build various scenarios for the development of the epidemiological situation. The results obtained on the basis of the considered models were compared with real statistical data on the incidence in the Krasnoyarsk Territory.
Keywords: scenarios of COVID-19 propagation, SIR-type model, optimal control model.
Funding agency Grant number
Russian Science Foundation 20-61-46017
The work was supported by the Russian Science Foundation grant no. 20-61-46017.
Received: 10.05.2022
Received in revised form: 26.05.2022
Accepted: 06.11.2022
Bibliographic databases:
Document Type: Article
UDC: 51.77
Language: English
Citation: Viktoriya S. Petrakova, Vladimir V. Shaidurov, “SIRV-D optimal control model for COVID-19 propagation scenarios”, J. Sib. Fed. Univ. Math. Phys., 16:1 (2023), 87–97
Citation in format AMSBIB
\Bibitem{PetSha23}
\by Viktoriya~S.~Petrakova, Vladimir~V.~Shaidurov
\paper SIRV-D optimal control model for COVID-19 propagation scenarios
\jour J. Sib. Fed. Univ. Math. Phys.
\yr 2023
\vol 16
\issue 1
\pages 87--97
\mathnet{http://mi.mathnet.ru/jsfu1059}
\edn{https://elibrary.ru/OEDUSL}
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    Журнал Сибирского федерального университета. Серия "Математика и физика"
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