Numerical Simulation of the Fractal-Fractional Ebola Virus
Abstract
:1. Introduction, Historical Background and Motivation
- (i)
- By coming into contact with a person who has died of the Ebola virus disease or in contact with the body fluids of a sick person;
- (ii)
- Through direct contact with humans, body fluids, animal tissues and blood.
2. Numerical Scheme for Fractal-Fractional Ebola Virus Via the Power Law Kernel
3. Numerical Scheme for the Fractal-Fractional Ebola Virus Involving the Exponential Decay Kernel
4. Numerical Scheme for the Fractal-Fractional Ebola Virus With the Generalized Mittag-Lefller Kernel
5. Numerical Results and Graphical Illustrations
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Symbol | Definition |
---|---|
The susceptible population | |
The infected population | |
The recovery population | |
The population died in the region | |
N | The total population in the region |
The rate of infection with the disease | |
The rate of susceptibility | |
The rate of natural death | |
The rate of death from the disease | |
The rate of recovery from the disease |
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Srivastava, H.M.; Saad, K.M. Numerical Simulation of the Fractal-Fractional Ebola Virus. Fractal Fract. 2020, 4, 49. https://doi.org/10.3390/fractalfract4040049
Srivastava HM, Saad KM. Numerical Simulation of the Fractal-Fractional Ebola Virus. Fractal and Fractional. 2020; 4(4):49. https://doi.org/10.3390/fractalfract4040049
Chicago/Turabian StyleSrivastava, H. M., and Khaled M. Saad. 2020. "Numerical Simulation of the Fractal-Fractional Ebola Virus" Fractal and Fractional 4, no. 4: 49. https://doi.org/10.3390/fractalfract4040049