2020
DOI: 10.1007/978-3-030-49896-2_5
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Dynamics of a Fractional-Order Hepatitis B Epidemic Model and Its Solutions by Nonstandard Numerical Schemes

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Cited by 11 publications
(10 citation statements)
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“…In Examples 1-3, we have seen the differences between the numerical approximations generated by the NSFD schemes and the standard schemes. Note that these differences have been showed in the previous works on NSFD schemes for ODEs, PDEs, and FDEs (see, for example, Adekanye and Washington 2018;Arenas et al 2016;Hoang and Nagy 2019;Hoang and Egbelowo 2020;Mickens 1993Mickens , 2000Mickens , 2002Mickens , 2005. The I -component generated by the NSFD scheme with t = 2.0 after 80 iterative steps…”
Section: Remark 4 •mentioning
confidence: 82%
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“…In Examples 1-3, we have seen the differences between the numerical approximations generated by the NSFD schemes and the standard schemes. Note that these differences have been showed in the previous works on NSFD schemes for ODEs, PDEs, and FDEs (see, for example, Adekanye and Washington 2018;Arenas et al 2016;Hoang and Nagy 2019;Hoang and Egbelowo 2020;Mickens 1993Mickens , 2000Mickens , 2002Mickens , 2005. The I -component generated by the NSFD scheme with t = 2.0 after 80 iterative steps…”
Section: Remark 4 •mentioning
confidence: 82%
“…Therefore, fractional-order models can provide better observations on transmission mechanism of viruses in infectious diseases. Recently, a fractional-order logistic model with feedback control and a fractional-order hepatitis B model have been formulated and analyzed (Hoang and Nagy 2019;Hoang and Egbelowo 2020). However, to the best of our knowledge, the fractional-order version of the model (1) has not been studied.…”
Section: Introductionmentioning
confidence: 99%
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“…For the discrete derivatives given in system (33), we have many options for the denominator function ϕ. We have chosen ϕ(h) = (1 − exp(−hp))/p, where p = max A, ∆, µ 0 , δ I , δ I E are parameters of the model and included in the numerical scheme (33). This particular ϕ usually provides better numerical results based on previous articles related to NSFD schemes [113,114].…”
Section: Numerical Simulations Using the Nsfd Schemementioning
confidence: 99%
“…Numerous mathematical models represented by means of a system of differential equations, with or without delay, have been discretized by means of the non-standard finite difference method proposed by Ronald Mickens, see [24][25][26][27][28][29][30][31][32][33][34]. Their use is mainly because they are very effective in preserving certain qualitative properties of the original differential equations and the convergence, consistency and stability of their solutions have been demonstrated, see [35][36][37][38][39][40][41][42][43][44][45][46].…”
Section: Introductionmentioning
confidence: 99%