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

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This is a Quantitative Study study.

A‎. George Maria Selvam; S. Sabarinathan; Hasib Khan; Jehad Alzabut; J. F. Gómez‐Aguilar

doi:10.1142/s179396232550062x

September 12, 2025Advances in Complex Systems

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

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Key Points

Effective prediction of ebola transmission dynamics can be achieved using numerical simulations with real data, and fractional derivatives enhance modeling accuracy.
The study demonstrates how fractional derivatives can mathematically represent the ebola transmission dynamics more effectively.
This numerical simulation offers valuable insights into disease dynamics, which may inform better public health strategies against ebola.
Real data integration in the simulation helps bridge the gap between theoretical models and actual disease behavior, enhancing prediction reliability.

Implication

Numerical simulation predicts ebola transmission dynamics with real data, suggesting improved accuracy using fractional derivatives.

Abstract

International Journal of Modeling, Simulation, and Scientific ComputingAccepted Papers No AccessNumerical simulation of Ebola transmission disease dynamics using fractional derivatives involving real data for more effective predictionA. Selvam, S. Sabarinathan, Hasib Khan, Jehad Alzabut, and J. F. Gomez-AguilarA. Selvam, S. Sabarinathan Search for more papers by this author , Hasib Khan Search for more papers by this author , Jehad Alzabut Search for more papers by this author , and J. F. Gomez-Aguilarhttps://orcid.org/0000-0001-9403-3767 Search for more papers by this author https://doi.org/10.1142/S179396232550062XCited by:0 (Source: Crossref) Next AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail FiguresReferencesRelatedDetails Recommended Accepted Papers Metrics History Received 30 December 2024 Accepted 7 September 2025 PDF download

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Cite This Study

Selvam et al. (2025) studied this question.

synapsesocial.com/papers/68dc12cc8a7d58c25ebb0cfd https://doi.org/10.1142/s179396232550062x

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

Key Points

Implication

Abstract

Discussion

Cite This Study

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

Key Points

Implication

Abstract

Discussion

Cite This Study

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