Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Nipah virus is a newly discovered infectious illness in a crowded world. It has a deadly impact on both the human and animal populations. Controlling the disease will need a deeper understanding of the route of transmission. To better explain how the illness behaves, an epidemic system consisting of eight separate compartments has been devised based on the actual requirement, which uses a set of fractional-order differential equations. With the assistance of the next-generation matrix method, the basic reproduction numbers for humans ($\mathscr R_0^m$) and animals ($\mathscr R_0^a$) are determined. Depending upon the numerical quantity of $\mathscr R_0^m, \mathscr R_0^a$, the feasibility and existence requirements of the system at the equilibria are investigated. Also, we observe that the system displays two transcritical bifurcations: one occurs at $\mathscr R_0^a=1$ for any value of $\mathscr R_0^m$ and the second one occurs at $\mathscr R_0^m=1$ for $\mathscr R_0^a<1$. Additionally, we looked at optimal control strategies by considering treatment and media as two dynamic control variables. Two ratios are computed to evaluate the cost-effectiveness of all feasible control measures: the incremental cost-effectiveness ratio and the infected averted ratio. Moreover, the impact of system parameters on disease transmission is determined by performing the sensitivity analysis.
Nipah virus is a newly discovered infectious illness in a crowded world. It has a deadly impact on both the human and animal populations. Controlling the disease will need a deeper understanding of the route of transmission. To better explain how the illness behaves, an epidemic system consisting of eight separate compartments has been devised based on the actual requirement, which uses a set of fractional-order differential equations. With the assistance of the next-generation matrix method, the basic reproduction numbers for humans ($\mathscr R_0^m$) and animals ($\mathscr R_0^a$) are determined. Depending upon the numerical quantity of $\mathscr R_0^m, \mathscr R_0^a$, the feasibility and existence requirements of the system at the equilibria are investigated. Also, we observe that the system displays two transcritical bifurcations: one occurs at $\mathscr R_0^a=1$ for any value of $\mathscr R_0^m$ and the second one occurs at $\mathscr R_0^m=1$ for $\mathscr R_0^a<1$. Additionally, we looked at optimal control strategies by considering treatment and media as two dynamic control variables. Two ratios are computed to evaluate the cost-effectiveness of all feasible control measures: the incremental cost-effectiveness ratio and the infected averted ratio. Moreover, the impact of system parameters on disease transmission is determined by performing the sensitivity analysis.
Controlling the Marburg virus (MARV) remains challenging for humans due to its high mortality rate and rapid
transmission. We formulate a deterministic model incorporating limited hospital beds for MARV transmission.
We extend traditional integer-order approaches to a fractional-order perspective employing the Atangana-Baleanu
Caputo(ABC) derivative due to finding a derivative with a Mittag-Leffler kernel. We demonstrate the positivity
and boundedness of the solution, ensuring its biological relevance. We calculated the basic reproduction number
with the help of the next-generation matrix (NGM) approach for populations and performed a sensitivity analysis
to identify critical parameters influencing the spread of the virus. We explore Marburg-free equilibrium and obtain
its local and global stability. We prove that the solution exists and is unique to the proposed model. We also obtain
compactness and continuity of the solution.Furthermore, we explore the proposed model’s stability by applying the
Hyers-Ulam (HU) stability. We discuss the analysis of numerical solutions using a two-step Lagrange interpolation
approach. We conclude that increased hospital beds significantly reduce the Marburg virus infection. This study
provides valuable insights into how healthcare resource availability affects MARV transmission dynamics and
demonstrates the broader relevance of fractional calculus in epidemiological models.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.