Epidemic modeling: Diffusion approximation vs. stochastic differential equations allowing reflection

Author:

El Fatini Mohamed1ORCID,Louriki Mohammed2,Pettersson Roger3,Zararsiz Zarife4

Affiliation:

1. Laboratory of PDE’s, Algebra and Spectral Geometry, Department of Mathematics, Ibn Tofail University, FS, BP 133, Kénitra, Morocco

2. Mathematics Department, Faculty of Sciences Semalalia, Cadi Ayyad University, Boulevard Prince Moulay Abdellah, P. O. Box 2390, Marrakesh 40000, Morocco

3. Department of Mathematics, Linnæus University, 351 95 Växjö, Sweden

4. Matematik Bölümü Nevşehir Haci, Bektaş Veli Üniversitesi, Turkey

Abstract

A birth–death process is considered as an epidemic model with recovery and transmittance from outside. The fraction of infected individuals is for huge population sizes approximated by a solution of an ordinary differential equation taking values in [Formula: see text]. For intermediate size or semilarge populations, the fraction of infected individuals is approximated by a diffusion formulated as a stochastic differential equation. That diffusion approximation however needs to be killed at the boundary [Formula: see text]. An alternative stochastic differential equation model is investigated which instead allows a more natural reflection at the boundary.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Modeling and Simulation

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