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High order discretization methods for spatial-dependent epidemic models

2022, Takács, Bálint, Hadjimichael, Yiannis

In this paper, an epidemic model with spatial dependence is studied and results regarding its stability and numerical approximation are presented. We consider a generalization of the original Kermack and McKendrick model in which the size of the populations differs in space. The use of local spatial dependence yields a system of partial-differential equations with integral terms. The uniqueness and qualitative properties of the continuous model are analyzed. Furthermore, different spatial and temporal discretizations are employed, and step-size restrictions for the discrete model’s positivity, monotonicity preservation, and population conservation are investigated. We provide sufficient conditions under which high-order numerical schemes preserve the stability of the computational process and provide sufficiently accurate numerical approximations. Computational experiments verify the convergence and accuracy of the numerical methods.

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Gevrey regularity for integro-differential operators

2013, Albanese, Guglielmo, Fiscella, Alessio, Valdinoci, Enrico

We prove a regularity theory in the Gevrey class for a family of nonlocal differential equations of elliptic type.