A Space Distributed Model and Its Application for Modeling the COVID-19 Pandemic in Ukraine

A space distributed model based on reaction–diffusion equations, which was previously developed, is generalized and applied to COVID-19 pandemic modeling in Ukraine. Theoretical analysis and a wide range of numerical simulations demonstrate that the model adequately describes the second wave of the COVID-19 pandemic in Ukraine. In particular, comparison of the numerical results obtained with the official data shows that the model produces very plausible total numbers of the COVID-19 cases and deaths. An extensive analysis of the impact of the parameters arising from the model is presented as well. It is shown that a well-founded choice of parameters plays a crucial role in the applicability of the model.

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Publication Details

Journal
Symmetry
Published
2024-10-23
DOI
https://doi.org/10.3390/sym16111411
Citations
1
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.54
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article

A Space Distributed Model and Its Application for Modeling the COVID-19 Pandemic in Ukraine

Roman Cherniha, Vasyl’ Davydovych, V. A. Dutka
1 citations
Symmetry
Mathematical and Theoretical Epidemiology and Ecology Models
0.54
article

A Space Distributed Model and Its Application for Modeling the COVID-19 Pandemic in Ukraine

Roman Cherniha, Vasyl’ Davydovych, V. A. Dutka
article en
1 citations

Abstract

A space distributed model based on reaction–diffusion equations, which was previously developed, is generalized and applied to COVID-19 pandemic modeling in Ukraine. Theoretical analysis and a wide range of numerical simulations demonstrate that the model adequately describes the second wave of the COVID-19 pandemic in Ukraine. In particular, comparison of the numerical results obtained with the official data shows that the model produces very plausible total numbers of the COVID-19 cases and deaths. An extensive analysis of the impact of the parameters arising from the model is presented as well. It is shown that a well-founded choice of parameters plays a crucial role in the applicability of the model.

SymmetryVol. 16(11)
National University of Kyiv-Mohyla Academy (UA), University of Nottingham (GB), National Academy of Sciences of Ukraine (UA), Institute of Mathematics (UA), V. Bakul Institute for Superhard Materials (UA)
Good health and well-being
Openalex Percentile: Top 28%
Mathematical and Theoretical Epidemiology and Ecology Models
0.54
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