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Forecast of Coronavirus Distribution in a Number of Countries of Europe and Asia : Dynamic and Stochastic Approach. / Pichugin, Yu A.; Malafeyev, O. A.; Zaitseva, I. V.; Shulga, A. A.; Kolesov, D. N.

в: IOP Conference Series: Earth and Environmental Science , Том 666, № 3, 032021, 09.03.2021.

Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование

Harvard

Pichugin, YA, Malafeyev, OA, Zaitseva, IV, Shulga, AA & Kolesov, DN 2021, 'Forecast of Coronavirus Distribution in a Number of Countries of Europe and Asia: Dynamic and Stochastic Approach', IOP Conference Series: Earth and Environmental Science , Том. 666, № 3, 032021. https://doi.org/10.1088/1755-1315/666/3/032021

APA

Pichugin, Y. A., Malafeyev, O. A., Zaitseva, I. V., Shulga, A. A., & Kolesov, D. N. (2021). Forecast of Coronavirus Distribution in a Number of Countries of Europe and Asia: Dynamic and Stochastic Approach. IOP Conference Series: Earth and Environmental Science , 666(3), [032021]. https://doi.org/10.1088/1755-1315/666/3/032021

Vancouver

Pichugin YA, Malafeyev OA, Zaitseva IV, Shulga AA, Kolesov DN. Forecast of Coronavirus Distribution in a Number of Countries of Europe and Asia: Dynamic and Stochastic Approach. IOP Conference Series: Earth and Environmental Science . 2021 Март 9;666(3). 032021. https://doi.org/10.1088/1755-1315/666/3/032021

Author

Pichugin, Yu A. ; Malafeyev, O. A. ; Zaitseva, I. V. ; Shulga, A. A. ; Kolesov, D. N. / Forecast of Coronavirus Distribution in a Number of Countries of Europe and Asia : Dynamic and Stochastic Approach. в: IOP Conference Series: Earth and Environmental Science . 2021 ; Том 666, № 3.

BibTeX

@article{269e8eccc39445119028d7b03946833d,
title = "Forecast of Coronavirus Distribution in a Number of Countries of Europe and Asia: Dynamic and Stochastic Approach",
abstract = "The simplest example of a dynamic stochastic approach to the study of the distribution of the coronovirus is considered. The distribution of coronavirus outside of china is considered as a modeling object. The choice of the developed model is due to the fact that the volterra equations are used to describe the dynamics of quantities that do not go beyond the range of positive values. The investigated process and the model parameter in the work are scalar in nature. As a result of modeling, the authors predicted the spread of coronavirus in a number of countries in Europe and Asia ",
author = "Pichugin, {Yu A.} and Malafeyev, {O. A.} and Zaitseva, {I. V.} and Shulga, {A. A.} and Kolesov, {D. N.}",
note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 2020 International Science and Technology Conference on Earth Science, ISTCEarthScience 2020 ; Conference date: 06-10-2020 Through 09-10-2020",
year = "2021",
month = mar,
day = "9",
doi = "10.1088/1755-1315/666/3/032021",
language = "English",
volume = "666",
journal = "IOP Conference Series: Earth and Environmental Science",
issn = "1755-1307",
publisher = "IOP Publishing Ltd.",
number = "3",

}

RIS

TY - JOUR

T1 - Forecast of Coronavirus Distribution in a Number of Countries of Europe and Asia

T2 - 2020 International Science and Technology Conference on Earth Science, ISTCEarthScience 2020

AU - Pichugin, Yu A.

AU - Malafeyev, O. A.

AU - Zaitseva, I. V.

AU - Shulga, A. A.

AU - Kolesov, D. N.

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/3/9

Y1 - 2021/3/9

N2 - The simplest example of a dynamic stochastic approach to the study of the distribution of the coronovirus is considered. The distribution of coronavirus outside of china is considered as a modeling object. The choice of the developed model is due to the fact that the volterra equations are used to describe the dynamics of quantities that do not go beyond the range of positive values. The investigated process and the model parameter in the work are scalar in nature. As a result of modeling, the authors predicted the spread of coronavirus in a number of countries in Europe and Asia

AB - The simplest example of a dynamic stochastic approach to the study of the distribution of the coronovirus is considered. The distribution of coronavirus outside of china is considered as a modeling object. The choice of the developed model is due to the fact that the volterra equations are used to describe the dynamics of quantities that do not go beyond the range of positive values. The investigated process and the model parameter in the work are scalar in nature. As a result of modeling, the authors predicted the spread of coronavirus in a number of countries in Europe and Asia

UR - http://www.scopus.com/inward/record.url?scp=85102747184&partnerID=8YFLogxK

U2 - 10.1088/1755-1315/666/3/032021

DO - 10.1088/1755-1315/666/3/032021

M3 - Conference article

AN - SCOPUS:85102747184

VL - 666

JO - IOP Conference Series: Earth and Environmental Science

JF - IOP Conference Series: Earth and Environmental Science

SN - 1755-1307

IS - 3

M1 - 032021

Y2 - 6 October 2020 through 9 October 2020

ER -

ID: 76593489