Global stability analysis of an extended SUC epidemic mathematical model

Abstract In this study, we conduct a global stability analysis of an extended Susceptible-Unidentified infected-Confirmed (SUC) epidemic mathematical model. In the original SUC model, the entire population consists of individuals who are susceptible, those with unidentified infections, and those with confirmed infections, without accounting for births and deaths. In the proposed extended SUC model, we incorporate the dynamics of births and deaths into the original SUC model. We analyze the global stability of this extended SUC epidemic mathematical model and perform several computational experiments to validate the global stability analysis. Through this realistic extended SUC model, we aim to advance the current understanding of epidemiological modeling and provide valuable insights for guiding public health interventions and policies.

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Publication Details

Journal
Zeitschrift für Naturforschung A
Published
2024-09-23
DOI
https://doi.org/10.1515/zna-2024-0152
Citations
2
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.79
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article

Global stability analysis of an extended SUC epidemic mathematical model

Mengxin Chen, Seokjun Ham, Soobin Kwak, Junseok Kim et al.
2 citations
Zeitschrift für Naturforschung A
COVID-19 epidemiological studies
0.79
article

Global stability analysis of an extended SUC epidemic mathematical model

Mengxin Chen, Seokjun Ham, Soobin Kwak, Junseok Kim, Youngjin Hwang
article en
2 citations

Abstract

Abstract In this study, we conduct a global stability analysis of an extended Susceptible-Unidentified infected-Confirmed (SUC) epidemic mathematical model. In the original SUC model, the entire population consists of individuals who are susceptible, those with unidentified infections, and those with confirmed infections, without accounting for births and deaths. In the proposed extended SUC model, we incorporate the dynamics of births and deaths into the original SUC model. We analyze the global stability of this extended SUC epidemic mathematical model and perform several computational experiments to validate the global stability analysis. Through this realistic extended SUC model, we aim to advance the current understanding of epidemiological modeling and provide valuable insights for guiding public health interventions and policies.

Zeitschrift für Naturforschung AVol. 79(11)
Korea University (KR), Henan Normal University (CN)
Openalex Percentile: Top 30%
COVID-19 epidemiological studies
0.79
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Global stability analysis of an extended SUC epidemic mathematical model — Mengxin Chen, Seokjun Ham, et al. · Zeitschrift für Naturforschung A (2024) | TGRS Research Map | TGRS