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Modeling and analysis of a fractional anthroponotic cutaneous leishmania model with Atangana-Baleanu derivative.
Haq, Ikramul; Khan, Amir; Ahmad, Saeed; Ali, Amir; Rahman, Mati Ur.
  • Haq I; Department of Mathematics, University of Malakand, Chakdara Dir (Lower), Khyber Pakhtunkhawa, Pakistan.
  • Khan A; Department of Mathematics, University of Swat, Khyber Pakhtunkhawa, Pakistan.
  • Ahmad S; Department of Mathematics, University of Malakand, Chakdara Dir (Lower), Khyber Pakhtunkhawa, Pakistan.
  • Ali A; Department of Mathematics, University of Malakand, Chakdara Dir (Lower), Khyber Pakhtunkhawa, Pakistan.
  • Rahman MU; Department of Mathematics, Shanghai Jiao Tong University, Shanghai, P.R. China.
Comput Methods Biomech Biomed Engin ; 25(15): 1722-1743, 2022 Nov.
Article in English | MEDLINE | ID: covidwho-1795520
ABSTRACT
Very recently, Atangana and Baleanu defined a novel arbitrary order derivative having a kernel of non-locality and non-singularity, known as AB derivative. We analyze a non-integer order Anthroponotic Leshmania Cutaneous (ACL) problem exploiting this novel AB derivative. We derive equilibria of the model and compute its threshold quantity, i.e. the so-called reproduction number. Conditions for the local stability of the no-disease as well as the disease endemic states are derived in terms of the threshold quantity. The qualitative analysis for solution of the proposed problem have derived with the aid of the theory of fixed point. We use the predictor corrector numerical approach to solve the proposed fractional order model for approximate solution. We also provide, the numerical simulations for each of the compartment of considered model at different fractional orders along with comparison with integer order to elaborate the importance of modern derivative. The fractional investigation shows that the non-integer order derivative is more realistic about the inner dynamics of the Leishmania model lying between integer order.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Leishmania Type of study: Prognostic study / Qualitative research Language: English Journal: Comput Methods Biomech Biomed Engin Journal subject: Biomedical Engineering / Physiology Year: 2022 Document Type: Article Affiliation country: 10255842.2022.2035372

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Leishmania Type of study: Prognostic study / Qualitative research Language: English Journal: Comput Methods Biomech Biomed Engin Journal subject: Biomedical Engineering / Physiology Year: 2022 Document Type: Article Affiliation country: 10255842.2022.2035372