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Positive Explicit and Implicit Computational Techniques for Reaction-Diffusion Epidemic Model of Dengue Disease Dynamics

dc.contributor.author Malik, Muhammad Rafiq
dc.contributor.author Baleanu, Dumitru
dc.contributor.author Alshomrani, Ali Saleh
dc.contributor.author Rehman, Muhammad Aziz-ur
dc.contributor.author Ahmed, Nauman
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 2021-01-19T12:33:58Z
dc.date.accessioned 2025-09-18T14:09:19Z
dc.date.available 2021-01-19T12:33:58Z
dc.date.available 2025-09-18T14:09:19Z
dc.date.issued 2020
dc.description Ahmed, Nauman/0000-0003-1742-585X; Ur-Rehman, Aziz-/0009-0007-4185-7675; Rafiq, Muhammad/0000-0002-2165-3479 en_US
dc.description.abstract The aim of this work is to develop a novel explicit unconditionally positivity preserving finite difference (FD) scheme and an implicit positive FD scheme for the numerical solution of dengue epidemic reaction-diffusion model with incubation period of virus. The proposed schemes are unconditionally stable and preserve all the essential properties of the solution of the dengue reaction diffusion model. This proposed FD schemes are unconditionally dynamically consistent with positivity property and converge to the true equilibrium points of dengue epidemic reaction diffusion system. Comparison of the proposed scheme with the well-known existing techniques is also presented. The time efficiency of both the proposed schemes is also compared, with the two widely used techniques. en_US
dc.description.publishedMonth 5
dc.identifier.citation Ahmed, Nauman...et al. (2020). "Positive explicit and implicit computational techniques for reaction-diffusion epidemic model of dengue disease dynamics", Advances in Difference Equations, Vol. 2020, No. 1. en_US
dc.identifier.doi 10.1186/s13662-020-02622-z
dc.identifier.issn 1687-1847
dc.identifier.scopus 2-s2.0-85084419071
dc.identifier.uri https://doi.org/10.1186/s13662-020-02622-z
dc.identifier.uri https://hdl.handle.net/20.500.12416/13356
dc.language.iso en en_US
dc.publisher Springer en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Structure Preserving Methods en_US
dc.subject Finite Difference Schemes en_US
dc.subject Dengue Model en_US
dc.subject Diffusion Epidemic System en_US
dc.subject Numerical Simulations en_US
dc.title Positive Explicit and Implicit Computational Techniques for Reaction-Diffusion Epidemic Model of Dengue Disease Dynamics en_US
dc.title Positive explicit and implicit computational techniques for reaction-diffusion epidemic model of dengue disease dynamics tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Ahmed, Nauman/0000-0003-1742-585X
gdc.author.id Ur-Rehman, Aziz-/0009-0007-4185-7675
gdc.author.id Rafiq, Muhammad/0000-0002-2165-3479
gdc.author.institutional Baleanu, Dumitru
gdc.author.scopusid 57210525245
gdc.author.scopusid 55960372700
gdc.author.scopusid 7005872966
gdc.author.scopusid 56901415600
gdc.author.scopusid 57212548674
gdc.author.wosid Ahmed, Nauman/Abb-8662-2020
gdc.author.wosid Rehman, Muhammad/Abd-5004-2020
gdc.author.wosid Baleanu, Dumitru/B-9936-2012
gdc.author.wosid Rafiq, Muhammad/Gnw-5095-2022
gdc.author.wosid Alshomrani, Ali/Q-4236-2017
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Ahmed, Nauman; Rehman, Muhammad Aziz-ur] Univ Management & Technol, Dept Math, Lahore, Pakistan; [Ahmed, Nauman] Univ Lahore, Dept Math & Stat, Lahore, Pakistan; [Malik, Muhammad Rafiq] Univ Cent Punjab, Fac Engn, Lahore, Pakistan; [Baleanu, Dumitru] Cankaya Univ, Dept Math, Ankara, Turkey; [Baleanu, Dumitru] China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung, Taiwan; [Baleanu, Dumitru] Inst Space Sci, Magurele, Romania; [Alshomrani, Ali Saleh] King Abdulaziz Univ, Fac Sci, Dept Math, Jaddah, Saudi Arabia en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.volume 2020 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W3029286769
gdc.identifier.wos WOS:000534335600001
gdc.openalex.fwci 10.47018351
gdc.openalex.normalizedpercentile 0.98
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 5
gdc.plumx.crossrefcites 1
gdc.plumx.mendeley 9
gdc.plumx.scopuscites 11
gdc.scopus.citedcount 11
gdc.wos.citedcount 7
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