TY - JOUR
T1 - Insights from qualitative and bifurcation analysis of COVID-19 vaccination model in Bangladesh
AU - Kuddus, Md Abdul
AU - Mohiuddin, M.
AU - Paul, Anip Kumar
AU - Rahman, Azizur
N1 - Publisher Copyright:
© 2024 Kuddus et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2024/11
Y1 - 2024/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85207916138&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85207916138&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0312780
DO - 10.1371/journal.pone.0312780
M3 - Article
C2 - 39485754
AN - SCOPUS:85207916138
SN - 1932-6203
VL - 19
JO - PLoS One
JF - PLoS One
IS - 11
M1 - e0312780
ER -
