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Journal of Siberian Federal University. Mathematics & Physics, 2023, Volume 16, Issue 1, Pages 87–97
(Mi jsfu1059)
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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
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.
Received: 10.05.2022 Received in revised form: 26.05.2022 Accepted: 06.11.2022
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
Linking options:
https://www.mathnet.ru/eng/jsfu1059 https://www.mathnet.ru/eng/jsfu/v16/i1/p87
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Abstract page: | 75 | Full-text PDF : | 39 | References: | 25 |
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