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Russian Journal of Cybernetics, 2023, Volume 4, Issue 1, Pages 24–32
DOI: https://doi.org/10.51790/2712-9942-2023-4-1-04
(Mi uk14)
 

Approaches to the simulation of personal income variations during epidemics

V. S. Petrakovaa, O. I. Krivorot'kobc

a Institute of Computational Modeling, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russian Federation
b Institute of Computational Mathematics and Mathematical Geophysics, Novosibirsk, Russian Federation
c Novosibirsk State University, Novosibirsk, Russian Federation
References:
Abstract: This study proposes two models representing the impact of the virus spread on such macroeconomic metrics as the labor force size and per capita income. The first model combines the SIR compartmental epidemics modeling and the Lotka-Volterra model. The second one extends the proposed differential model to the optimal control problem. The simulation results are compared with each other and real-world data for the Novosibirsk Region, 2020–2021. We used several scenarios for the optimal control model to further expand the model to other economic and epidemiological conditions.
Keywords: COVID-19, macroeconomics, epidemics, optimal control problems.
Funding agency Grant number
Russian Science Foundation 18-71-10044-П
This work was supported by the Russian Science Foundation (project No. 18-71-10044).
Document Type: Article
Language: Russian
Citation: V. S. Petrakova, O. I. Krivorot'ko, “Approaches to the simulation of personal income variations during epidemics”, Russian Journal of Cybernetics, 4:1 (2023), 24–32
Citation in format AMSBIB
\Bibitem{PetKri23}
\by V.~S.~Petrakova, O.~I.~Krivorot'ko
\paper Approaches to the simulation of personal income variations during epidemics
\jour Russian Journal of Cybernetics
\yr 2023
\vol 4
\issue 1
\pages 24--32
\mathnet{http://mi.mathnet.ru/uk14}
\crossref{https://doi.org/10.51790/2712-9942-2023-4-1-04}
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