Work

Discrete Fractional Incommensurate Order Ebola Model: Analyzing Dynamics and Numerical Simulation

Year: 2025

Type: article

Abstract: This paper introduces a groundbreaking approach to understanding the complex dynamics of Ebola virus transmission in populations by leveraging discrete fractional calculus. Our model incorporates non-integer order differences that reflect the intricate stages of infection and recovery, capturing the irregularities and nuances inherent in Ebola dynamics through incommensurate orders. This innovative framework provides a more detailed analysis of how individuals transition between susceptible, infected, and recovered states, revealing critical insights into the transmission patterns of the virus. By refining traditional epidemic models, our research enhances predictive capabilities and offers valuable strategies for effective management and intervention during Ebola outbreaks. This work not only advances the field of epidemiological modeling but also underscores the importance of adapting mathematical frameworks to address the complexities of real-world diseases.

Source: Fractals

DOI: 10.1142/s0218348x25401279

Authors: MA’MON ABU HAMMAD, RAMI ALKHATEEB, GHADEER FARRAJ, NOUREDDINE DJENINA, ADEL OUANNAS

Institutions: Al-Zaytoonah University of Jordan, Al-Ahliyya Amman University, Middle East University, Larbi Ben M'hidi University of Oum El Bouaghi

Language: English

Topic: Mathematical and Theoretical Epidemiology and Ecology Models

Subfield: Applied Mathematics

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4407935339

FWCI: 10.25

Cites: 30

Cited by: 17

Related to: 10