Fractional order epidemiological model of SARS-CoV-2 dynamism involving Alzheimer’s disease

TLDR: In this paper , a Caputo-Fabrizio fractional order epidemiological model for the transmission dynamism of the severe acute respiratory syndrome coronavirus 2 pandemic and its relationship with Alzheimer's disease was proposed.

Abstract: In this paper, we study a Caputo–Fabrizio fractional order epidemiological model for the transmission dynamism of the severe acute respiratory syndrome coronavirus 2 pandemic and its relationship with Alzheimer’s disease. Alzheimer’s disease is incorporated into the model by evaluating its relevance to the quarantine strategy. We use functional techniques to demonstrate the proposed model stability under the Ulam–Hyres condition. The Adams–Bashforth method is used to determine the numerical solution for our proposed model. According to our numerical results, we notice that an increase in the quarantine parameter has minimal effect on the Alzheimer’s disease compartment. • A new Caputo–Fabrizio fractional SARS-CoV-2 epidemiological model with Alzheimer’s disease is proposed. • Ulam–Hyres (HU) stability condition for the given system is determined using nonlinear functional analysis. • The Lagrange interpolation is used to obtain the desired solution analytically. • The number of susceptible, exposed and symptomatic infected human’s decreases as the fractional orders decrease, and quarantine and Alzheimer’s disease human’s increases as the fractional orders decrease.