Bifurcation Analysis of an Influenza A (H1N1) Model with Treatment and Vaccination

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Main Authors: Mohammad, Kazi Mehedi, Akhi, Asma Akter, Kamrujjaman, Md.
Format: Preprint
Published: 2024
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_version_ 1866917616661037056
author Mohammad, Kazi Mehedi
Akhi, Asma Akter
Kamrujjaman, Md.
author_facet Mohammad, Kazi Mehedi
Akhi, Asma Akter
Kamrujjaman, Md.
contents This study focuses on the modeling, mathematical analysis, developing theories, and numerical simulation of Influenza virus transmission. We have proved the existence, uniqueness, positivity, and boundedness of the solutions. Also, investigate the qualitative behavior of the models and find the basic reproduction number $(\mathcal{R}_0)$ that guarantees the asymptotic stability of the disease-free and endemic equilibrium points. The local and global asymptotic stability of the disease free state and endemic equilibrium of the system is analyzed with the Lyapunov method, Routh-Hurwitz, and other criteria and presented graphically. This study helps to investigate the effectiveness of control policy and makes suggestions for alternative control policies. Bifurcation analyses are carried out to determine prevention strategies. Transcritical, Hopf, and backward bifurcation analyses are displayed analytically and numerically to show the dynamics of disease transmission in different cases. Moreover, analysis of contour plot, box plot, relative biases, phase portraits are presented to show the influential parameters to curtail the disease outbreak. We are interested in finding the nature of $\mathcal{R}_0$, which determines whether the disease dies out or persists in the population. The findings indicate that the dynamics of the model are determined by the threshold parameter $\mathcal{R}_0$.
format Preprint
id arxiv_https___arxiv_org_abs_2403_11277
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Bifurcation Analysis of an Influenza A (H1N1) Model with Treatment and Vaccination
Mohammad, Kazi Mehedi
Akhi, Asma Akter
Kamrujjaman, Md.
Populations and Evolution
53C25, 83C05, 57N16
This study focuses on the modeling, mathematical analysis, developing theories, and numerical simulation of Influenza virus transmission. We have proved the existence, uniqueness, positivity, and boundedness of the solutions. Also, investigate the qualitative behavior of the models and find the basic reproduction number $(\mathcal{R}_0)$ that guarantees the asymptotic stability of the disease-free and endemic equilibrium points. The local and global asymptotic stability of the disease free state and endemic equilibrium of the system is analyzed with the Lyapunov method, Routh-Hurwitz, and other criteria and presented graphically. This study helps to investigate the effectiveness of control policy and makes suggestions for alternative control policies. Bifurcation analyses are carried out to determine prevention strategies. Transcritical, Hopf, and backward bifurcation analyses are displayed analytically and numerically to show the dynamics of disease transmission in different cases. Moreover, analysis of contour plot, box plot, relative biases, phase portraits are presented to show the influential parameters to curtail the disease outbreak. We are interested in finding the nature of $\mathcal{R}_0$, which determines whether the disease dies out or persists in the population. The findings indicate that the dynamics of the model are determined by the threshold parameter $\mathcal{R}_0$.
title Bifurcation Analysis of an Influenza A (H1N1) Model with Treatment and Vaccination
topic Populations and Evolution
53C25, 83C05, 57N16
url https://arxiv.org/abs/2403.11277