JOURNAL ARTICLE

Numerical simulation of Ebola transmission disease dynamics using fractional derivatives involving real data for more effective prediction.

  • Published In: International Journal of Modeling, Simulation & Scientific Computing, 2025, v. 16, n. 5. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Selvam, A.; Sabarinathan, S.; Khan, Hasib; Alzabut, Jehad; Gómez-Aguilar, J. F. 3 of 3

Abstract

The concept of fractional calculus has proven to be a powerful and effective tool in analyzing mathematical modeling across various disciplines. Ebola creates havoc on humans and animals, causing high mortality rates from severe hemorrhagic fever in humans and destroying wildlife populations, especially great apes and fruit bats. This disrupts ecosystems, threatening biodiversity, and human livelihoods. This study examines Ebola's impact on humans mathematically, depicting qualitative and computational results for an inclusive understanding. Euler's numerical method is employed to approximate solutions for different fractional orders, interpreting system behavior graphically. Also, real data comparisons authenticate the model and its applications. Overall judgment shows that the numerical results of the recommended method significantly impact the system behavior. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Modeling, Simulation & Scientific Computing. 2025/10, Vol. 16, Issue 5, p1
  • Document Type:Article
  • Subject Area:Mathematics
  • Publication Date:2025
  • ISSN:17939623
  • DOI:10.1142/S179396232550062X
  • Accession Number:189187855
  • Copyright Statement:Copyright of International Journal of Modeling, Simulation & Scientific Computing is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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