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

• Published in: Herald of the Russian Academy of Sciences Vol. 92; no. 4; pp. 479 - 487
• Main Authors: Rykovanov, G. N., Lebedev, S. N., Zatsepin, O. V., Kaminskii, G. D., Karamov, E. V., Romanyukha, A. A., Feigin, A. M., Chetverushkin, B. N.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.08.2022; Springer Nature B.V
• Subjects: Agent-based models; Chemistry/Food Science; COVID-19; Earth and Environmental Science; Earth Sciences; Engineering; Environment; Epidemics; Government agencies; Life Sciences; Mathematical models; Pandemics; Public health; Scientific Session of the General Meeting of the RAS Members “The Role of Science in Overcoming Pandemics and Postcrisis Development of Society”; Social Sciences; Viral diseases; Russia; mathematical modeling; COVID-19 pandemic; forecast for the development of the COVID-19 epidemic
• ISSN: 1019-3316; 1555-6492; 1555-6492
• DOI: 10.1134/S1019331622040219

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.