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.
Authors
- Mengxin Chen (ORCID: https://orcid.org/0000-0002-9122-4493)
- Seokjun Ham (ORCID: https://orcid.org/0000-0002-2917-312X)
- Soobin Kwak (ORCID: https://orcid.org/0000-0001-7693-8992)
- Junseok Kim (ORCID: https://orcid.org/0000-0002-0484-9189)
- Youngjin Hwang (ORCID: https://orcid.org/0000-0002-6270-5386)
Institutions
- Korea University (KR)
- Henan Normal University (CN)
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