Modelling the Spread of River Blindness Disease via the Caputo Fractional Derivative and the Beta-derivative

Abstract

Abstract:Information theory is used in many branches of science and technology. For instance, to inform a set of human beings living in a particular region about the fatality of a disease, one makes use of existing information and then converts it into a mathematical equation for prediction. In this work, a model of the well-known river blindness disease is created via the Caputo and beta derivatives. A partial study of stability analysis was presented. The extended system describing the spread of this disease was solved via two analytical techniques: the Laplace perturbation and the homotopy decomposition methods. Summaries of the iteration methods used were provided to derive special solutions to the extended systems. Employing some theoretical parameters, we present some numerical simulations.

Detection of Left-Sided and Right-Sided Hearing Loss via Fractional Fourier Transform

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On the co‐infection of dengue fever and Zika virus

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