ArticleChaos, solitons, and fractals2022
On nonlinear dynamics of a fractional order monkeypox virus model.
Article in Chaos, solitons, and fractals, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- A Review of Epidemiological Modeling Studies on Monkeypox.China CDC weekly · 2026Article
- Research on symptoms composition, time series evolution, and network visualisation of interstitial cystitis based on complex network community discovery algorithm.IET systems biology · 2024Article
- Exploring the dynamics of monkeypox transmission with data-driven methods and a deterministic model.Frontiers in epidemiology · 2024Article
- A fractional order Monkeypox model with protected travelers using the fixed point theorem and Newton polynomial interpolation.Healthcare analytics (New York, N.Y.) · 2023Article
- Mathematical modeling of mpox: A scoping review.One health (Amsterdam, Netherlands) · 2023Article
- Voluntary vaccination may not stop monkeypox outbreak: A game-theoretic model.PLoS neglected tropical diseases · 2022Article
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Authors and funding
3 authors.
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Abstract
In this work, we examine a fractional-order model for simulating the spread of the monkeypox virus in the human host and rodent populations. The employment of the fractional form of the model gives a better insight into the dynamics and spread of the virus, which will help in providing some new control measures. The model is formulated into eight mutually exclusive compartments and the form of a nonlinear system of differential equations. The reproduction number for the present epidemic system is found. In addition, the equilibrium points of the model are investigated and the associated stability analysis is carried out. The influences of key parameters in the model and the ways to control the monkeypox epidemic have been thoroughly examined for the fractional model. To ensure that the model accurately simulates the nonlinear phenomenon, we adapt an efficient numerical technique to solve the presented model, and the acquired results reveal the dynamic behaviors of the model. It is observed that when memory influences are considered for the present model, through Caputo fractional-order derivatives, they affect the speed and time taken by solution trajectories towards steady-state equilibria.
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