Journal Article Epublish
PubMed: 39485754 DOI: 10.1371/journal.pone.0312780
Insights from qualitative and bifurcation analysis of COVID-19 vaccination model in Bangladesh.
PLoS One 19(11):e0312780
Authors: Md Abdul Kuddus, M Mohiuddin, Anip Kumar Paul, Azizur Rahman
Affiliations
- Department of Mathematics, University of Rajshahi, Rajshahi, Bangladesh.
- Department of Mathematics, Comilla University, Cumilla, Bangladesh.
- School of Computing, Mathematics and Engineering, Charles Sturt University, Wagga Wagga, New South Wales, Australia.
Abstract
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.
MeSH
Vaccines, Vaccination, Covid-19