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Modeling of anthrax disease via efficient computing techniques

dc.contributor.authorRaza, Ali
dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorYousaf, Muhammad
dc.contributor.authorAkhter, Naeem
dc.contributor.authorMahmood, Syed Kashif
dc.contributor.authorRafiq, Muhammad
dc.contributor.authorID56389tr_TR
dc.date.accessioned2022-06-17T12:18:49Z
dc.date.available2022-06-17T12:18:49Z
dc.date.issued2022
dc.departmentÇankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümüen_US
dc.description.abstractComputer methods have a significant role in the scientific literature. Nowadays, development in computational methods for solving highly complex and nonlinear systems is a hot issue in different disciplines like engineering, physics, biology, and many more. Anthrax is primarily a zoonotic disease in herbivores caused by a bacterium called Bacillus anthracis. Humans generally acquire the disease directly or indirectly from infected animals, or through occupational exposure to infected or contaminated animal products. The outbreak of human anthrax is reported in the Eastern Mediterranean regions like Pakistan, Iran, Iraq, Afghanistan, Morocco, and Sudan. Almost ninety-five percent chances are the transmission of the bacteria from forming spores by the World Health Organization (WHO). The modeling of an anthrax disease is based on the four compartments along with two humans (susceptible and infected) and others are dead bodies and sporing agents. The mathematical analysis is studied along with the fundamental properties of deterministic modeling. The stability of the model along with equilibria is studied rigorously. The authentication of analytical results is examined through well-known computer methods like Euler, Runge Kutta, and Non-standard finite difference (NSFD) along with the feasible properties (positivity, boundedness, and dynamical consistency) of the model. In the end, comparison analysis of algorithms shows the effectiveness of the methods. © 2022, Tech Science Press. All rights reserved.en_US
dc.identifier.citationRaza, Ali...et al. (2022). "Modeling of anthrax disease via efficient computing techniques", Intelligent Automation and Soft Computing, Vol. 32, No. 2, pp. 1109-1124.en_US
dc.identifier.doi10.32604/iasc.2022.022643
dc.identifier.endpage1124en_US
dc.identifier.issn1079-8587
dc.identifier.issue2en_US
dc.identifier.startpage1109en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12416/5671
dc.identifier.volume32en_US
dc.language.isoenen_US
dc.relation.ispartofIntelligent Automation and Soft Computingen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAnthrax Diseaseen_US
dc.subjectComputer Methodsen_US
dc.subjectDeterministic Modelingen_US
dc.subjectStability Analysisen_US
dc.titleModeling of anthrax disease via efficient computing techniquestr_TR
dc.titleModeling of Anthrax Disease Via Efficient Computing Techniquesen_US
dc.typeArticleen_US
dspace.entity.typePublication

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