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Insights from qualitative and bifurcation analysis of COVID-19 vaccination model in Bangladesh. | LitMetric

Insights from qualitative and bifurcation analysis of COVID-19 vaccination model in Bangladesh.

PLoS One

School of Computing, Mathematics and Engineering, Charles Sturt University, Wagga Wagga, New South Wales, Australia.

Published: November 2024

The unprecedented global impact of the 2019 coronavirus disease (COVID-19) has necessitated a comprehensive understanding of its transmission dynamics and control measures. In this study, we present a detailed analysis of a COVID-19 vaccination model tailored to the context of Bangladesh, incorporating dual-dose vaccination strategies. By employing qualitative and bifurcation analysis techniques, we investigate the equilibrium points, effective reproduction number (R0), and critical thresholds that influence the prevalence and control of COVID-19 in the region. Our findings reveal insights into the effectiveness of vaccination programs and provide a framework for developing targeted control plans. Through a rigorous examination of model parameters and sensitivity analysis, we identify key factors driving COVID-19 transmission dynamics, emphasizing the significance of vaccination rates and other critical parameters. The validation of our model against real-world data underscores its utility in informing evidence-based decision-making for managing the COVID-19 pandemic in Bangladesh and beyond.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11530044PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0312780PLOS

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