Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia
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Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia, 2022, Volume 505, Pages 24–29
DOI: https://doi.org/10.31857/S2686954322040166
(Mi danma272)
 

This article is cited in 1 scientific paper (total in 1 paper)

MATHEMATICS

Mathematical modeling of overcoming the COVID-19 pandemic and restoring economic growth

V. A. Sadovnichiia, A. A. Akaevb, A. I. Zvyagintsevc, A. I. Sarygulovd

a Lomonosov Moscow State University, Moscow, Russia
b Institute of Complex Systems Mathematical Research, Lomonosov Moscow State University, Moscow, Russia
c Mikhailovskaya Artillery Military Academy, St. Petersburg, Russia
d Saint-Peterburg State University of Engineering and Economics, St. Petersburg, Russia
Citations (1)
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Abstract: A mathematical model is proposed that not only generates various scenarios of development, but also forms specific management measures aimed at suppressing the pandemic and restoring economic growth. The developed model of the mutual influence of the pandemic and the economy is not only a tool for effective and adequate forecasting, but is also capable of simulating various scenarios that may well correspond to real epidemiological processes. An advantage of the model is that the dynamics of the pandemic and GDP can be managed in practice in order to stabilize socioeconomic development.
Keywords: COVID-19, economic systems, governance models, restoring economic growth.
Funding agency Grant number
Russian Science Foundation 20-61-46004
This work was performed at the Institute of Complex System Mathematical Research of Lomonosov Moscow State University and was supported by the Russian Science Foundation, grant no. 20-61-46004, the project “Global development and limits of growth in the 21st century: Simulation and forecast”.
Received: 01.04.2022
Revised: 19.04.2022
Accepted: 01.06.2022
English version:
Doklady Mathematics, 2022, Volume 106, Issue 1, Pages 230–235
DOI: https://doi.org/10.1134/S1064562422040160
Bibliographic databases:
Document Type: Article
UDC: 51-77+614.44+338.1+330.4
Language: Russian
Citation: V. A. Sadovnichii, A. A. Akaev, A. I. Zvyagintsev, A. I. Sarygulov, “Mathematical modeling of overcoming the COVID-19 pandemic and restoring economic growth”, Dokl. RAN. Math. Inf. Proc. Upr., 505 (2022), 24–29; Dokl. Math., 106:1 (2022), 230–235
Citation in format AMSBIB
\Bibitem{SadAkaZvy22}
\by V.~A.~Sadovnichii, A.~A.~Akaev, A.~I.~Zvyagintsev, A.~I.~Sarygulov
\paper Mathematical modeling of overcoming the COVID-19 pandemic and restoring economic growth
\jour Dokl. RAN. Math. Inf. Proc. Upr.
\yr 2022
\vol 505
\pages 24--29
\mathnet{http://mi.mathnet.ru/danma272}
\crossref{https://doi.org/10.31857/S2686954322040166}
\elib{https://elibrary.ru/item.asp?id=49344492}
\transl
\jour Dokl. Math.
\yr 2022
\vol 106
\issue 1
\pages 230--235
\crossref{https://doi.org/10.1134/S1064562422040160}
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  • https://www.mathnet.ru/eng/danma/v505/p24
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia
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    References:27
     
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