Modeling Pandemic Vaccine with Saturated Incidence Rate Based on Disease Induced Death

Odriozola Vazquez

doi:10.20944/preprints202403.0282.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 5 March 2024 / Approved: 5 March 2024 / Online: 5 March 2024 (16:09:00 CET)

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.

Vaccine; Basic Reproduction Number; Stabilities; Disease induced death; saturation terms

Computer Science and Mathematics, Applied Mathematics

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Modeling Pandemic Vaccine with Saturated Incidence Rate Based on Disease Induced Death

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