Computational and Stochastic Methods for Epidemic Modeling
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 (31 December 2023) | Viewed by 1907
Special Issue Editors
Interests: computational biology; numerical analysis; non-linear dynamics; stochastic differential equations; stochastic methods
Interests: mathematical biology; infectious disease modeling; numerical analysis; differential equations; non-linear dynamics
2. Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon
Interests: neural networking of infectious diseases; predator–prey models in ecology; stochastic reaction–diffusion models; stochastic fractional-order models and chaos analysis in biological sciences; stochastic fractional delayed models
2. Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon
Interests: complex nonlinear stochastic dynamical systems; reduce-order models; machine learning; data assimilation; stochastic methods; numerical analysis of stochastic models
Special Issue Information
Dear Colleagues,
In recent years, stochastic calculus has witnessed tremendous progress in various areas of sciences and mathematics. Stochastic calculus provides a significant contribution to the scientific literature. Nowadays, highly nonlinear systems (real-world problems) are a hot issue in different types of modeling, such as engineering, biology, physics, chemistry, economics, and many more. Many complex, continuous, and discontinuous systems based on ordinary differential equations (ODEs), partial differential equations (PDEs), and stochastic differential equations, and their applications, still have no analytic solutions. This Special Issue mainly focuses on addressing a wide range of efficient models in different types of real-world problems. The various uses of computational methods in sciences have opened new challenging paths of research.
This Special Issue represents a platform for researchers and scientists for collaboration among mathematicians with other researchers.
We welcome and invite review and original research articles dealing with recent advances on the topics of stochastic calculus, as well as their applications in this particular issue.
This Special Issue will be focused on, but not limited to:
- Stochastic differential equations and their applications;
- New stochastic models and their properties;
- Complex multiscale nonlinear stochastic dynamical systems;
- Numerical methods for stochastic differential equations;
- Uncertainty quantification;
- Data assimilation;
- Reduced-order models;
- Parameterization;
- Machine learning;
- Chaos analysis in biological sciences;
- Computer methods in economy-based problems;
- Neural networking of infectious diseases;
- Predator–prey models in ecology;
- Stochastic reaction–diffusion models;
- Stochastic fractional-order models and chaos analysis in biological sciences;
- Stochastic fractional delayed models;
- Advances in numerical techniques regarding stochastic aspects.
Dr. Muhammad Mohsin
Prof. Dr. Muhammad Rafiq
Dr. Nauman Ahmed
Dr. Ali Raza
Guest Editors
Manuscript Submission Information
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