ArticleChaos, solitons, and fractals2020
On the dynamical modeling of COVID-19 involving Atangana-Baleanu fractional derivative and based on Daubechies framelet simulations.
Article in Chaos, solitons, and fractals, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Conservative Numerical Framework for Fractional Stochastic Delay Modeling of CSF-1/EGF Tumor-Macrophage Aggregation.International journal for numerical methods in biomedical engineering · 2026Article
- Lessons drawn from China and South Korea for managing COVID-19 epidemic: Insights from a comparative modeling study.ISA transactions · 2022Article
- On fractal-fractional Covid-19 mathematical model.Chaos, solitons, and fractals · 2022Article
- A fractional-order mathematical model for COVID-19 outbreak with the effect of symptomatic and asymptomatic transmissions.European physical journal plus · 2022Article
- A fractional order SITR mathematical model for forecasting of transmission of COVID-19 of India with lockdown effect.Results in physics · 2021Article
- Threshold dynamics of difference equations for SEIR model with nonlinear incidence function and infinite delay.European physical journal plus · 2021Article
- The dynamics of COVID-19 in the UAE based on fractional derivative modeling using Riesz wavelets simulation.Advances in difference equations · 2021Article
- A report on COVID-19 epidemic in Pakistan using SEIR fractional model.Scientific reports · 2020Article
- Complex dynamics in susceptible-infected models for COVID-19 with multi-drug resistance.Chaos, solitons, and fractals · 2020Article
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2 authors.
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Abstract
In this paper, we present a novel fractional order COVID-19 mathematical model by involving fractional order with specific parameters. The new fractional model is based on the well-known Atangana-Baleanu fractional derivative with non-singular kernel. The proposed system is developed using eight fractional-order nonlinear differential equations. The Daubechies framelet system of the model is used to simulate the nonlinear differential equations presented in this paper. The framelet system is generated based on the quasi-affine setting. In order to validate the numerical scheme, we provide numerical simulations of all variables given in the model.
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