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Some properties of the Kermack-McKendrick epidemic model with fractional derivative and nonlinear incidence

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dc.contributor.author Doungmo Goufo, Emile F
dc.contributor.author Maritz, Riëtte
dc.contributor.author Munganga, Justin
dc.date.accessioned 2017-02-10T17:53:52Z
dc.date.available 2017-02-10T17:53:52Z
dc.date.issued 2014-10-30
dc.identifier.citation Advances in Difference Equations. 2014 Oct 30;2014(1):278
dc.identifier.uri http://dx.doi.org/10.1186/1687-1847-2014-278
dc.identifier.uri http://hdl.handle.net/10500/22001
dc.description.abstract Abstract Kermack-McKendrick epidemic model is considered as the basis from which many other compartmental models were developed. But the development of fractional calculus applied to mathematical epidemiology is still ongoing and relatively recent. We provide, in this article, some interesting and useful properties of the Kermack-McKendrick epidemic model with nonlinear incidence and fractional derivative order in the sense of Caputo. In the process, we used the generalized mean value theorem (Odibat and Shawagfeh in Appl. Math. Comput. 186:286-293, 2007) extended to fractional calculus to conclude some of the properties. A model of the Kermack-McKendrick with zero immunity is also investigated, where we study the existence of equilibrium points in terms of the nonlinear incidence function. We also establish the condition for the disease free equilibrium to be asymptotically stable and provide the expression of the basic reproduction number. Finally, numerical simulations of the monotonic behavior of the infection are provided for different values of the fractional derivative order α ( 0 ≤ α < 1 ). Comparing to the model with first-order derivative, there is a similar evolution for close values of α. The results obtained may help to analyze more complex fractional epidemic models.
dc.title Some properties of the Kermack-McKendrick epidemic model with fractional derivative and nonlinear incidence
dc.type Journal Article
dc.date.updated 2017-02-10T17:53:53Z
dc.language.rfc3066 en
dc.rights.holder Doungmo Goufo et al.; licensee Springer.


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