Fractional investigations of zoonotic visceral leishmaniasis disease with singular and non-singular kernel

• Published in: European physical journal plus 2019-10, Vol.134 (10), p.481, Article 481
• Main Authors: Khan, Muhammad Altaf, Kolebaje, Olusola, Yildirim, Ahmet, Ullah, Saif, Kumam, P., Thounthong, P.
• Format: Article
• Language: English
• Subjects: Applied and Technical Physics; Atomic; Complex Systems; Condensed Matter Physics; Differential equations; Epidemics; Fractional calculus; Integers; Mathematical and Computational Physics; Mathematical models; Molecular; Optical and Plasma Physics; Order parameters; Parameter modification; Parasitic diseases; Physics; Physics and Astronomy; Regular Article; Runge-Kutta method; Theoretical; Vector-borne diseases; Zoonoses
• ISSN: 2190-5444; 2190-5444
• DOI: 10.1140/epjp/i2019-12861-1

. Memory has a great impact to study the dynamics of any real epidemic process in a better way. An epidemic model including memory effect is governed by fractional differential equations. In the present paper we explore the dynamics of the zoonotic visceral leishmaniasis (ZVL) disease using fractional derivative in both the Caputo and Atangana-Baleanu sense. The proposed model in the Caputo sense is solved by the well-known method known as modified differential transform method (MDTM), which is efficient and reliable. Further, the solution for the model with Atangana-Baleanu derivative is obtained by the modified Adams-Bashforh method. Numerical simulations are presented by using a different value of the fractional order parameter α . The numerical results obtained through the MDTM and the modified Adams-Bashforh method are reasonable and provide useful information in the non-integer case. Numerical results presented for the fractional order parameter α and in the integer case for the Caputo derivative model are compared with the Runge-Kutta method which gives good agreement. The application of Atangana-Baleanu derivative, the Caputo derivative and the use of the numerical approaches, MDTM, Adams Bashforth and the Runge-Kutta method (for the integer case) for an epidemic model is a novel practice and provides more flexible and deeper information about the complexity of the dynamics of ZVL.