Fractional Order Viral Epidemic Models and Their Applications
A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Life Science, Biophysics".
Deadline for manuscript submissions: closed (5 October 2022) | Viewed by 5249
Special Issue Editors
Interests: interpretable machine learning; natural language processing; computational linguistics; reinforcement learning; applied machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: wavelets; fractals; fractional and stochastic equations; numerical and computational methods; mathematical physics; nonlinear systems; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
There has been increased interest in the modeling of viral epidemic dynamics due to the ongoing SARS-COV2 pandemic. Due to the memory effect, fractional-order differential equations have performed better than integer-order differential equations in modeling the spread of the virus among the population. Apart from biological systems, these fractional-order epidemic models also find critical applications in other domains, such as in modeling financial crises, computer virus dynamics, and the spread of rumors in social networks.
We are organizing this Special Issue to help promote the development of both theoretical aspects, such as stability analysis and the optimization of numerical methods, and the application of these models in diverse domains. We invite and welcome review, expository, and original research articles dealing with recent theoretical advances in fractional-order epidemic models and their multidisciplinary applications.
Dr. Sourav Sen
Prof. Dr. Carlo Cattani
Guest Editors
Manuscript Submission Information
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Keywords
- fractional calculus
- fractional-order epidemic models
- caputo fractional derivative
- stability analysis
- rumor diffusion model
- computer virus epidemic model
- network modeling
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