Evidence map›Paper›PMID 39937740›Full record

ArticlePloS one2025

Fractal-fractional modeling and stability analysis of pine wilt disease dynamics.

Khaled Aldwoah, Shahid Ahmed, Shah Jahan, Amel Touati, Nidal EIjaneid, Tariq AIjaaidi

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In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Khaled AldwoahDepartment of Mathematics, Faculty of Science, Islamic University of Madinah, Medinah, Saudi Arabia.
Shahid AhmedDepartment of Mathematics, Central University of Haryana, Mahendergarh, India.
Shah JahanDepartment of Mathematics, Central University of Haryana, Mahendergarh, India.ORCID https://orcid.org/0000-0002-5966-9185
Amel TouatiDepartment of Mathematics, Faculty of Science, Northern Border University, Arar, Saudi Arabia.
Nidal EIjaneidDepartment of Mathematics, Faculty of Science, University of Tabuk, Tabuk, Saudi Arabia.
Tariq AIjaaidiDepartment of Artificial Intelligence, Faculty of Computer Science and Information Technology, Alrazi University, Sana'a, Yemen.ORCID https://orcid.org/0000-0003-4316-5895

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we have constructed a compartmental mathematical model employing fractal-fractional operators to investigate the dynamics of pine wilt disease. The model comprises six nonlinear ordinary differential equations, representing six compartments for individuals categorized as susceptible, exposed, and infected. Furthermore, we restructured the model by applying methodologies that are based on fractional calculus and fractal theory, one can gain significant insights into the intricacies of pine wilt disease transmission. The model's essential properties, that is existence and uniqueness were analysed using the Banach and Leray-Schauder theorems. We study the stability of the fractional model by applying the Ulam-Hyers stability conditions. Additionally, computational techniques for the model in fractal-fractional cases are formulated using an iterative numerical approach like the fractional Adams-Bashforth methodology. Finally, we presented a comprehensive simulation conducted to validate the theoretical findings. The results are simulated to correspond to various fractional order values (θ1) and fractal dimensions (θ2) using MATLAB.

Indexed as

FractalsModels, BiologicalModels, TheoreticalPinusPlant DiseasesComputer Simulation

Identifiers

PMID39937740
PMCPMC11819585

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.