Numerical-statistical study of the prognostic efficiency of the SEIR model

DOI10.1515/rnam-2021-0027zbMath1489.92164OpenAlexW4200281149MaRDI QIDQ825917

Mikhail A. Marchenko, Vitaliy L. Lukinov, Dmitrii D. Smirnov, Gennady A. Mikhailov, Galiya Z. Lotova

Publication date: 18 December 2021

Published in: Russian Journal of Numerical Analysis and Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/rnam-2021-0027

zbMATH Keywords

Monte Carlo methodsSEIR modelstatistical simulationPoisson flowCOVID-19

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Cites Work

• Distributed computing by the Monte Carlo method
• Modelling Stochastic and Deterministic Behaviours in Virus Infection Dynamics
• Analysis of a stage-dependent epidemic model based on a non-Markov random process
• Unnamed Item

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