Evidence map›Paper›PMID 41642824›Full record

ArticleScience progress

Bifurcation and computational analysis of anthracnose virus spread in plants with splashing-rain under hypersensitive response.

Khurram Faiz, Aqeel Ahmad, Kaushik Dehingia, Muhammad Farman, Sadia Sattar, Mustafa Bayram

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Article in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Khurram FaizDepartment of Mathematics, Ghazi University, D G Khan, Pakistan.ORCID 0009-0005-0344-1789
Aqeel AhmadDepartment of Mathematics, Ghazi University, D G Khan, Pakistan.ORCID 0000-0002-7754-9355
Kaushik DehingiaDepartment of Mathematics, Mathematical Research Center, Near East University, Nicosia, Cyprus.ORCID 0000-0002-8042-4166
Muhammad FarmanDepartment of Mathematics, Mathematical Research Center, Near East University, Nicosia, Cyprus.ORCID 0000-0001-7616-0500
Sadia SattarDepartment of Mathematics, Ghazi University, D G Khan, Pakistan.ORCID 0009-0005-0380-9117
Mustafa BayramDepartment of Computer Engineering, Biruni University, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study focuses on the transmission dynamics of anthracnose disease and the effectiveness of treatment strategies designed to limit its spread, particularly under splashing-rain conditions. A mathematical model is developed to investigate the progression of anthracnose in a healthy environment when incorporating control measures such as treatment interventions and systematic removal of infected plants. The model is extended to a fractional-order form using the fractal-fractional operator, allowing continuous monitoring and reliable numerical approximations. A detailed analysis is performed to examine stability, boundedness, and uniqueness, thereby ensuring the validity of the system dynamics. Transmission rates across sub-compartments are derived through global derivatives and verified using Lipschitz and linear growth conditions. Bifurcation analysis is conducted to assess the emergence and control of chaotic behavior within the system. The role of the fractional operator, including the Mittag-Leffler kernel in its generalized form, is studied via a two-step Lagrange polynomial approach. Numerical simulations illustrate the influence of various factors on disease spread and demonstrate the effectiveness of hypersensitive response strategies in controlling infections. The findings contribute to a deeper understanding of anthracnose transmission and support the development of mathematically verified management strategies for improved plant health.

Indexed as

Models, TheoreticalPlant DiseasesColletotrichumComputer SimulationModels, Biologicalanthracnose virusbifurcation analysischaos controlMathematical modelingstability analysis

Identifiers

PMID41642824
PMCPMC12876673

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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.