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

PLoS One. 2024 Nov 1;19(11):e0312780. doi: 10.1371/journal.pone.0312780. eCollection 2024.

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 terms

  • Bangladesh / epidemiology
  • Basic Reproduction Number
  • COVID-19 Vaccines* / administration & dosage
  • COVID-19* / epidemiology
  • COVID-19* / prevention & control
  • Humans
  • Pandemics / prevention & control
  • SARS-CoV-2* / immunology
  • Vaccination*

Substances

  • COVID-19 Vaccines

Grants and funding

The author(s) received no specific funding for this work.