Sensitivity of MFG SEIR-HCD Epidemiological Model

Sensitivity of MFG SEIR-HCD Epidemiological Model Full article

Journal

Lobachevskii Journal of Mathematics
ISSN: 1995-0802 , E-ISSN: 1818-9962

Output data

Year: 2023, Volume: 44, Number: 7, Pages: 2856-2869 Pages count : 14 DOI: 10.1134/s199508022307034x

Tags

global sensitivity analysis, mean field epidemiological model, eFAST, SIR-type models

Authors

Petrakova Viktoriya ¹ , Krivorotko Olga ^2,3

Affiliations

1	Institute of Computational Modeling, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russia
2	Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
3	Sobolev Institute of Mathematics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia

Funding (2)

1	Министерство науки и высшего образования РФ Mathematical Center in Akademgorodok	075-15-2019-1613, 075-15-2022-281
2	Russian Science Foundation	18-71-10044-P

The work is devoted to the global sensitivity analysis of the “mean field” epidemiological model based on SEIR-HCD population clustering. The paper shows that the “mean field” model inherits sensitivity to some parameters of the parent differential compartmental forecastmodel in the short-term and medium-term (no more than a month) time periods. Moreover, it is shown that the analyzed model is sensitive to the stochastic parameter which is unique for the “mean field” models for the period up to 25 days of the forecast.

Petrakova V. , Krivorotko O.
Sensitivity of MFG SEIR-HCD Epidemiological Model
Lobachevskii Journal of Mathematics. 2023. V.44. N7. P.2856-2869. DOI: 10.1134/s199508022307034x WOS Scopus РИНЦ OpenAlex

Submitted:	Apr 1, 2023
Accepted:	May 5, 2023
Published print:	Jul 20, 2023
Published online:	Oct 28, 2023

Web of science:	WOS:001098734800033
Scopus:	2-s2.0-85175202565
Elibrary:	54913044
OpenAlex:	W4388000696

DB	Citing
OpenAlex	3
Scopus	3
Web of science	2