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Numerical Investigation of Malaria Disease Dynamics in Fuzzy Environment

作     者:Fazal Dayan Dumitru Baleanu Nauman Ahmed Jan Awrejcewicz Muhammad Rafiq Ali Raza Muhammad Ozair Ahmad 

作者机构:Department of MathematicsSchool of ScienceUniversity of Management and TechnologyLahore54000Pakistan Department of MathematicsCankaya UniversityBalgatAnkara06530Turkey Department of Medical ResearchChina Medical UniversityTaichung40402Taiwan Institute of Space SciencesMagurele-Bucharest077125Romania Department of Mathematics and StatisticsUniversity of LahoreLahore54000Pakistan Department of AutomationBiomechanics and MechatronicsLodz University of Technology1/15 Stefanowskiego St.90-924LodzPoland Department of MathematicsFaculty of Science&TechnologyUniversity of Central PunjabLahore54000Pakistan Department of MathematicsGovt.Maulana Zafar Ali Khan Graduate College WazirabadPunjab Higher Education Department(PHED)Lahore54000Pakistan 

出 版 物:《Computers, Materials & Continua》 (计算机、材料和连续体(英文))

年 卷 期:2023年第74卷第2期

页      面:2345-2361页

核心收录:

学科分类:07[理学] 070104[理学-应用数学] 0701[理学-数学] 

主  题:SIER model fuzzy parameters malaria NSFD scheme stability 

摘      要:The application of fuzzy theory is vital in all scientific *** construction of mathematical models with fuzziness is little studied in the *** this in mind and for a better understanding of the disease,an SEIR model of malaria transmission with fuzziness is examined in this study by extending a classicalmodel ofmalaria *** parametersβandδ,being function of the malaria virus load,are considered fuzzy *** steady states and the reproduction number of the model are analyzed in fuzzy senses.A numerical technique is developed in a fuzzy environment to solve the studied model,which retains essential properties such as positivity and dynamic ***,numerical simulations are carried out to illustrate the analytical results of the developed *** most of the classical methods in the literature,the proposed approach converges unconditionally and can be considered a reliable tool for studying malaria disease dynamics.

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