Agent-Based Simulation of the COVID-19 Epidemic in Russia

被引：4

作者：

Rykovanov, G. N. ^{[1
]}

Lebedev, S. N. ^{[1
]}

Zatsepin, O., V ^{[1
]}

Kaminskii, G. D. ^{[2
]}

Karamov, E., V ^{[2
,3
]}

Romanyukha, A. A. ^{[4
]}

Feigin, A. M. ^{[5
]}

Chetverushkin, B. N. ^{[6
]}

机构：

[1] Zababakhin All Russia Sci Res Inst Tech Phys, Russian Fed Nucl Ctr, Snezhinsk, Russia

[2] Natl Med Res Ctr Phthisiopulmonol & Infect Dis, Moscow, Russia

[3] Gamaleya Natl Ctr Epidemiol & Microbiol, Moscow, Russia

[4] Russian Acad Sci, Marchuk Inst Numer Math, Moscow, Russia

[5] Russian Acad Sci, Inst Appl Phys, Nizhnii Novgorod, Russia

[6] Russian Acad Sci, Keldysh Inst Appl Math, Moscow, Russia

来源：

HERALD OF THE RUSSIAN ACADEMY OF SCIENCES | 2022年 / 92卷 / 04期

关键词：

COVID-19; pandemic; mathematical modeling; forecast for the development of the COVID-19 epidemic;

D O I：

10.1134/S1019331622040219

中图分类号：

N09 [自然科学史]; B [哲学、宗教];

学科分类号：

01 ; 0101 ; 010108 ; 060207 ; 060305 ; 0712 ;

摘要：

The COVID-19 pandemic has created a public health emergency in Russia and across the world. The wavelike spread of the new coronavirus infection, caused by newly emerging variants of the coronavirus, has led to a high incidence rate in all subjects of the Russian Federation. It is becoming extremely topical to get the opportunity to manage the development of the epidemic and assess the impact of certain regulatory measures on this process. This will help government agencies make informed decisions to control the burden on healthcare organizations. It is often impossible to obtain such assessments without using modern mathematical models.

引用

页码：479 / 487

页数：9

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