Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

Bio-Inspired Modelling of Disease Through Delayed Strategies

dc.contributor.authorNasir, Arooj
dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorRaza, Ali
dc.contributor.authorAnwar, Pervez
dc.contributor.authorAhmed, Nauman
dc.contributor.authorRafiq, Muhammad
dc.contributor.authorCheema, Tahir Nawaz
dc.contributor.authorID56389tr_TR
dc.date.accessioned2024-02-14T07:49:59Z
dc.date.available2024-02-14T07:49:59Z
dc.date.issued2022
dc.departmentÇankaya Üniversitesi, Fen Edebiyat Fakültesi, Matematik Bölümüen_US
dc.description.abstractIn 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.en_US
dc.identifier.citationNasir, Arooj;...et.al. (2022). "Bio-Inspired Modelling of Disease Through Delayed Strategies", Computers, Materials and Continua, Vol.73, No.3, pp.5717-5734.en_US
dc.identifier.doi10.32604/cmc.2022.031879
dc.identifier.endpage5734en_US
dc.identifier.issn15462218
dc.identifier.issue3en_US
dc.identifier.startpage5717en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12416/7205
dc.identifier.volume73en_US
dc.language.isoenen_US
dc.relation.ispartofComputers, Materials and Continuaen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectComputer Resultsen_US
dc.subjectDelayed Modelen_US
dc.subjectLeprosy Diseaseen_US
dc.subjectStability Analysisen_US
dc.titleBio-Inspired Modelling of Disease Through Delayed Strategiestr_TR
dc.titleBio-Inspired Modelling of Disease Through Delayed Strategiesen_US
dc.typeArticleen_US
dspace.entity.typePublication

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Article.pdf
Size:
3.73 MB
Format:
Adobe Portable Document Format
Description:
Yayıncı Sürümü

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: