| Issue |
EPJ Web Conf.
Volume 369, 2026
4th International Conference on Artificial Intelligence and Applied Mathematics (JIAMA’26)
|
|
|---|---|---|
| Article Number | 02012 | |
| Number of page(s) | 14 | |
| Section | XAI and Data-Driven Optimization in Energy, Environment, and Economic Systems | |
| DOI | https://doi.org/10.1051/epjconf/202636902012 | |
| Published online | 13 May 2026 | |
https://doi.org/10.1051/epjconf/202636902012
Stochastic Epidemic Models with Vaccination and Hybrid Perturbations: A Survey
1 FST Mohammedia, Hassan II University Casablanca, Morocco
2 DMS, ENSA Al-Hoceima, Abdelmalek Essaadi University Tetouan, Morocco
3 LSA, ENSA Al-Hoceima, Abdelmalek Essaadi University Tetouan, Morocco
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 13 May 2026
Abstract
The objective of this work is to analyze some of the sophisticated stochastic epidemiology models that have emerged recently which go beyond the conventional deterministic modeling by including stochasticity, non-linear transmissions, and vaccination effects. This article discusses how the elements of randomness in terms of environment change, behavioral modification, imperfect vaccines, and reduced immunity are included in modern day models. Moreover, this paper also discusses some of the sophisticated hybrid models including diffusion dynamics, levy jumps, and Markovian switching representing the occurrence of sudden shock in the form of epidemiological events as well as the environmental changes. Some comparison among diffusion dynamics, vaccination model, and hybrid stochastic models was made in relation to extinction and persistence conditions, stochastic threshold theories, stability analysis, and the existence of fixed measures influencing them. However, it was found that even with advancements, there is a lack of consistency in the research being done today.
Key words: Stochastic Epidemic Models / Non-Linear Incidence / Vaccination Dynamics / Lévy Jumps / Regime Switching / Hybrid Stochastic Systems
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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