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Mathematical Modeling of Overcoming the COVID-19 Pandemic and Restoring Economic Growth
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 e...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pleiades Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514188/ http://dx.doi.org/10.1134/S1064562422040160 |
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author | Sadovnichiy, V. A. Akaev, A. A. Zvyagintsev, A. I. Sarygulov, A. I. |
author_facet | Sadovnichiy, V. A. Akaev, A. A. Zvyagintsev, A. I. Sarygulov, A. I. |
author_sort | Sadovnichiy, V. A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9514188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Pleiades Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-95141882022-09-28 Mathematical Modeling of Overcoming the COVID-19 Pandemic and Restoring Economic Growth Sadovnichiy, V. A. Akaev, A. A. Zvyagintsev, A. I. Sarygulov, A. I. Dokl. Math. Mathematics 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. Pleiades Publishing 2022-09-27 2022 /pmc/articles/PMC9514188/ http://dx.doi.org/10.1134/S1064562422040160 Text en © Pleiades Publishing, Ltd. 2022, ISSN 1064-5624, Doklady Mathematics, 2022, Vol. 106, No. 1, pp. 230–235. © Pleiades Publishing, Ltd., 2022.Russian Text © The Author(s), 2022, published in Doklady Rossiiskoi Akademii Nauk. Matematika, Informatika, Protsessy Upravleniya, 2022, Vol. 505, pp. 24–29. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Mathematics Sadovnichiy, V. A. Akaev, A. A. Zvyagintsev, A. I. Sarygulov, A. I. Mathematical Modeling of Overcoming the COVID-19 Pandemic and Restoring Economic Growth |
title | Mathematical Modeling of Overcoming the COVID-19 Pandemic and Restoring Economic Growth |
title_full | Mathematical Modeling of Overcoming the COVID-19 Pandemic and Restoring Economic Growth |
title_fullStr | Mathematical Modeling of Overcoming the COVID-19 Pandemic and Restoring Economic Growth |
title_full_unstemmed | Mathematical Modeling of Overcoming the COVID-19 Pandemic and Restoring Economic Growth |
title_short | Mathematical Modeling of Overcoming the COVID-19 Pandemic and Restoring Economic Growth |
title_sort | mathematical modeling of overcoming the covid-19 pandemic and restoring economic growth |
topic | Mathematics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514188/ http://dx.doi.org/10.1134/S1064562422040160 |
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