Computer modeling: A gateway to novel advancements in solving real-life problems

dc.contributor.authorRaza, Ali
dc.contributor.authorRafiq, Muhammad
dc.contributor.authorAhmed, Nauman
dc.contributor.authorIqbal, Muhammad Sajid
dc.contributor.authorRezapour, Shahram
dc.contributor.authorİnç, Mustafa
dc.date.accessioned2026-08-12T17:38:54Z
dc.date.issued2024
dc.departmentFırat Üniversitesi
dc.description.abstractThe design of computer modelling has a vital role in the recent development of scientific literature. Creation, modification, analysis, and optimization of structures are uses of computer methods. The most significant benefit is communication through documentation, quality of design, designing electronic systems, and many more. According to the World Health Organization report, there are two types of transmission of Nipah virus infection, such as from animals to humans or humans to humans. More than 40% to 75% rate of death due to Nipah virus is estimated. The most infected regions are Thailand, the Philippines, Indonesia, and Cambodia. The susceptible (S), exposed (E), infected (I), and recovered (R) are compartments of the Nipah virus model. The bilinear incidence rates are considered during its modelling. Positivity, boundedness, equilibria, reproduction number, and stability results are part of the qualitative analysis of the model. After that, the design of the computer methods on the model predicts the efficiency, visualization, and results of the Nipah virus disease. The existing techniques, like Euler and Runge Kutta, could be more stable. They are highly time-dependent methods. But our proposed way, i.e., NSFD, is always positive, bounded, regular and consistent at any time step size. In conclusion, the nonstandard finite difference method (NSFD) restores a dynamical property such as positivity, boundedness, consistency, and stability. In the end, computing techniques are presented to support the qualitative analysis of the model.
dc.identifier.doi10.1016/j.bspc.2024.106414
dc.identifier.issn1746-8094
dc.identifier.issn1746-8108
dc.identifier.orcid0000-0003-4996-8373
dc.identifier.orcid0000-0003-3463-2607
dc.identifier.orcid0000-0002-6443-9966
dc.identifier.scopus2-s2.0-85193451565
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.bspc.2024.106414
dc.identifier.urihttps://hdl.handle.net/11508/58627
dc.identifier.volume95
dc.identifier.wosWOS:001243988500001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Sci Ltd
dc.relation.ispartofBiomedical Signal Processing and Control
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260511
dc.subjectNipah virus
dc.subjectEpidemic model
dc.subjectComputing methods
dc.subjectLinearization analysis
dc.titleComputer modeling: A gateway to novel advancements in solving real-life problems
dc.typeArticle

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