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Examination of Pine Wilt Epidemic Model Through Efficient Algorithm

dc.contributor.author Mahmoud, Emad E.
dc.contributor.author Al-Bugami, A. M.
dc.contributor.author Baleanu, Dumitru
dc.contributor.author Rafiq, Muhammad
dc.contributor.author Mohsin, Muhammad
dc.contributor.author Al Nuwairan, Muneerah
dc.contributor.author Raza, Ali
dc.contributor.authorID 56389 tr_TR
dc.contributor.other 02.02. Matematik
dc.contributor.other 02. Fen-Edebiyat Fakültesi
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2024-03-20T13:00:45Z
dc.date.accessioned 2025-09-18T12:06:52Z
dc.date.available 2024-03-20T13:00:45Z
dc.date.available 2025-09-18T12:06:52Z
dc.date.issued 2022
dc.description Rafiq, Muhammad/0000-0002-2165-3479 en_US
dc.description.abstract Pine wilt is a dramatic disease that kills infected trees within a few weeks to a few months. The cause is the pathogen Pinewood Nematode. Most plant-parasitic nematodes are attached to plant roots, but pinewood nematodes are found in the tops of trees. Nematodes kill the tree by feeding the cells around the resin ducts. The modeling of a pine wilt disease is based on six compartments, including three for plants (susceptible trees, exposed trees, and infected trees) and the other for the beetles (susceptible beetles, exposed beetles, and infected beetles). The deterministic modeling, along with subpopulations, is based on Law of mass action. The stability of the model along with equilibria is studied rigorously. The authentication of analytical results is examined through well-known computer methods like Non-standard finite difference (NSFD) and the model's feasible properties (positivity, boundedness, and dynamical consistency). In the end, comparison analysis shows the effectiveness of the NSFD algorithm. en_US
dc.identifier.citation Raza, Ali;...et.al. (2022). "Examination of Pine Wilt Epidemic Model through Efficient Algorithm", Computers, Materials and Continua, Vol.71, No.2, pp.5293-5310. en_US
dc.identifier.doi 10.32604/cmc.2022.024535
dc.identifier.issn 1546-2218
dc.identifier.issn 1546-2226
dc.identifier.scopus 2-s2.0-85122755585
dc.identifier.uri https://doi.org/10.32604/cmc.2022.024535
dc.identifier.uri https://hdl.handle.net/123456789/11023
dc.language.iso en en_US
dc.publisher Tech Science Press en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Pine Wilt Disease en_US
dc.subject Modeling en_US
dc.subject Nsfd Algorithm en_US
dc.subject Linearization Of Nsfd Algorithm en_US
dc.subject Results en_US
dc.title Examination of Pine Wilt Epidemic Model Through Efficient Algorithm en_US
dc.title Examination of Pine Wilt Epidemic Model through Efficient Algorithm tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Rafiq, Muhammad/0000-0002-2165-3479
gdc.author.institutional Baleanu, Dumitru
gdc.author.scopusid 56072492500
gdc.author.scopusid 23569999800
gdc.author.scopusid 36871726300
gdc.author.scopusid 7005872966
gdc.author.scopusid 55960372700
gdc.author.scopusid 58253967200
gdc.author.wosid Rafiq, Muhammad/Gnw-5095-2022
gdc.author.wosid Baleanu, Dumitru/B-9936-2012
gdc.author.wosid Raza, Ali/Abe-1951-2021
gdc.author.wosid Mohsin, Muhammad/Cai-5996-2022
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Raza, Ali] Govt Maulana Zafar Al Ali Khan Grad Coll Waziraba, Punjab Higher Educ Dept PHED, Dept Math, Lahore 54000, Pakistan; [Mahmoud, Emad E.; Al-Bugami, A. M.] Taif Univ, Coll Sci, Dept Math, At Taif 21944, Saudi Arabia; [Baleanu, Dumitru] Cankaya Univ, Dept Math, TR-06530 Ankara, Turkey; [Baleanu, Dumitru] China Med Univ, Dept Med Res, Taichung 40402, Taiwan; [Rafiq, Muhammad] Univ Cent Punjab, Fac Sci, Dept Math, Lahore 54600, Pakistan; [Mohsin, Muhammad] Tech Univ Chemnitz, Dept Math, D-6209111 Chemnitz, Germany; [Al Nuwairan, Muneerah] King Faisal Univ, Dept Math & Stat, Al Hasa 31982, Saudi Arabia en_US
gdc.description.endpage 5310 en_US
gdc.description.issue 3 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 5293 en_US
gdc.description.volume 71 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q3
gdc.identifier.openalex W4205767139
gdc.identifier.wos WOS:000770817300054
gdc.openalex.fwci 0.53310404
gdc.openalex.normalizedpercentile 0.75
gdc.opencitations.count 3
gdc.plumx.crossrefcites 3
gdc.plumx.mendeley 3
gdc.plumx.scopuscites 3
gdc.scopus.citedcount 3
gdc.wos.citedcount 3
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