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

Mohammed Semlali, Khalid Hattaf, Mohamed Sadik, Aiad El Gourari
Published 2023-10-03
DOI 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.
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How to Cite this Article

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

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.