Abstract
This paper analyzes models that address key challenges in global healthcare related to COVID-19 and offers insights for developing effective response strategies. Our primary objective is to apply the Atangana-Baleanu-Caputo (ABC) fractional derivative, incorporating the Mittag-Leffler kernel, to conduct an in-depth analysis of the COVID-19 model. The Picard-Lindelof approach is used to do a comprehensive study of the existence and uniqueness of the model’s solutions. The ABC operator, combining the fundamental theorem of fractional calculus with two-step Lagrange polynomial interpolation, was applied to estimate the solutions of the nonlinear fractional-order COVID-19 model. The behavior of the model is depicted through figures. The findings demonstrate that this method is both powerful and straightforward when applied to nonlinear equations. Furthermore, the results confirm the viability of the ABC fractional operator for mathematical epidemiology and its potential use in other real-world problems.
| Original language | English |
|---|---|
| Pages (from-to) | 233-248 |
| Number of pages | 16 |
| Journal | Journal of Mathematics and Computer Science |
| Volume | 39 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Atangana-Baleanu fractional operators
- COVID-19 disease
- Mittag-Lefflekernel
- fractional calculus
- mathematical epidemiology
- numerical simulation
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