Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Dokl. RAN. Math. Inf. Proc. Upr.:
Year:
Volume:
Issue:
Page:
Find




Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register

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)
References:
PDF
HTML
DOI: https://doi.org/10.31857/S2686954322040166
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}
Linking options:
  • https://www.mathnet.ru/eng/danma272
  • 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
    Related articles in Google Scholar: Russian articles, English articles
    		Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia
    Statistics & downloads:
    Abstract page:160
    References:23
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024