Article
Version 1
Preserved in Portico This version is not peer-reviewed
Modeling Pandemic Vaccine with Saturated Incidence Rate Based on Disease Induced Death
Version 1
: Received: 5 March 2024 / Approved: 5 March 2024 / Online: 5 March 2024 (16:09:00 CET)
How to cite: Vazquez, O. Modeling Pandemic Vaccine with Saturated Incidence Rate Based on Disease Induced Death. Preprints 2024, 2024030282. https://doi.org/10.20944/preprints202403.0282.v1 Vazquez, O. Modeling Pandemic Vaccine with Saturated Incidence Rate Based on Disease Induced Death. Preprints 2024, 2024030282. https://doi.org/10.20944/preprints202403.0282.v1
Abstract
This paper presents a comprehensive analysis of the SEIRS COVID-19 pandemic model with saturated incidence rate. By modifying the existing model and proposing a new simplified version, we investigate the dynamics of disease transmission, including the impact of saturation terms on disease spread. Through stability analysis at disease-free and endemic equilibria, we aim to enhance understanding of the spread of COVID-19 and inform effective control strategies. Drawing on mathematical models and epidemiological insights, this study contributes to the ongoing efforts to combat the global pandemic.
Keywords
Vaccine; Basic Reproduction Number; Stabilities; Disease induced death; saturation terms
Subject
Computer Science and Mathematics, Applied Mathematics
Copyright: 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.
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