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Bio-Inspired Modelling of Disease Through Delayed Strategies

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dc.contributor.author Nasir, Arooj
dc.contributor.author Baleanu, Dumitru
dc.contributor.author Raza, Ali
dc.contributor.author Anwar, Pervez
dc.contributor.author Ahmed, Nauman
dc.contributor.author Rafiq, Muhammad
dc.contributor.author Cheema, Tahir Nawaz
dc.date.accessioned 2024-02-14T07:49:59Z
dc.date.available 2024-02-14T07:49:59Z
dc.date.issued 2022
dc.identifier.citation Nasir, Arooj;...et.al. (2022). "Bio-Inspired Modelling of Disease Through Delayed Strategies", Computers, Materials and Continua, Vol.73, No.3, pp.5717-5734. tr_TR
dc.identifier.issn 15462218
dc.identifier.uri http://hdl.handle.net/20.500.12416/7205
dc.description.abstract In 2020, the reported cases were 0.12 million in the six regions to the official report of the World Health Organization (WHO). For most children infected with leprosy, 0.008629 million cases were detected under fifteen. The total infected ratio of the children population is approximately 4.4 million. Due to the COVID-19 pandemic, the awareness programs implementation has been disturbed. Leprosy disease still has a threat and puts people in danger. Nonlinear delayed modeling is critical in various allied sciences, including computational biology, computational chemistry, computational physics, and computational economics, to name a few. The time delay effect in treating leprosy delayed epidemic model is investigated. The whole population is divided into four groups: those who are susceptible, those who have been exposed, those who have been infected, and those who have been vaccinated. The local and global stability of well-known conclusions like the Routh Hurwitz criterion and the Lyapunov function has been proven. The parameters’ sensitivity is also examined. The analytical analysis is supported by computer results that are presented in a variety of ways. The proposed approach in this paper preserves equilibrium points and their stabilities, the existence and uniqueness of solutions, and the computational ease of implementation. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.32604/cmc.2022.031879 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Computer Results tr_TR
dc.subject Delayed Model tr_TR
dc.subject Leprosy Disease tr_TR
dc.subject Stability Analysis tr_TR
dc.title Bio-Inspired Modelling of Disease Through Delayed Strategies tr_TR
dc.type article tr_TR
dc.relation.journal Computers, Materials and Continua tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 73 tr_TR
dc.identifier.issue 3 tr_TR
dc.identifier.startpage 5717 tr_TR
dc.identifier.endpage 5734 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen Edebiyat Fakültesi, Matematik Bölümü tr_TR


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