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Communications in Mathematical Biology and Neuroscience ISSN 2052-2541

Archives › Volume 2023 (2023)

Commun. Math. Biol. Neurosci. 2023 (2023), Article ID 101

Stability analysis of a delayed COVID-19 transmission model involving immigration and vaccination

Mohammed Semlali, Khalid Hattaf, Mohamed Sadik, Aiad El Gourari

PDF (469.8 KB) https://doi.org/10.28919/cmbn/8151

Abstract

In this paper, we propose and analyze the dynamical behavior of a delayed COVID-19 transmission model with immigration, vaccination and general incidence function. The time delay into the proposed model represents the incubation period. Firstly, the well-posedness of the model is investigated. Moreover, we construct appropriate Lyapunov function to prove the global stability of equilibria. To support the theoretical results, numerical simulations are presented at the end of the study.

Published
3 October 2023
Volume
2023 (2023)
License
CC BY 3.0

Copyright © 2023 Mohammed Semlali, Khalid Hattaf, Mohamed Sadik, Aiad El Gourari. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article

M. Semlali, K. Hattaf, M. Sadik, A. El Gourari, Stability analysis of a delayed COVID-19 transmission model involving immigration and vaccination, Commun. Math. Biol. Neurosci. 2023 (2023), 101. https://doi.org/10.28919/cmbn/8151

BibTeX
@article{Semlali2023,
  author  = {Semlali, Mohammed and Hattaf, Khalid and Sadik, Mohamed and El Gourari, Aiad},
  title   = {Stability analysis of a delayed COVID-19 transmission model involving immigration and vaccination},
  journal = {Commun. Math. Biol. Neurosci.},
  volume  = {2023},
  year    = {2023},
  pages   = {101},
  doi     = {10.28919/cmbn/8151}
}