Geodesic
Numerical methods in the context of compartmental models in epidemiology
Peter Kratz1 ; Etienne Pardoux1 ; Brice Samegni Kepgnou1
1 Aix-Marseille Université, CNRS, Centrale Marseille, I2M, UMR 7373 13453 Marseille, France;
ESAIM. Proceedings, Tome 48 (2015), pp. 169-189 Cet article a éte moissonné depuis la source EDP Sciences

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We consider compartmental models in epidemiology. For the study of the divergence of the stochastic model from its corresponding deterministic limit (i.e., the solution of an ODE) for long time horizon, a large deviations principle suggests a thorough numerical analysis of the two models. The aim of this paper is to present three such motivated numerical works. We first compute the solution of the ODE model by means of a non-standard finite difference scheme. Next we solve a constraint optimization problem via discrete-time dynamic programming: this enables us to compute the leading term in the large deviations principle of the time of extinction of a given disease. Finally, we apply the τ-leaping algorithm to the stochastic model in order to simulate its solution efficiently. We illustrate these numerical methods by applying them to two examples.
DOI : 10.1051/proc/201448007

Peter Kratz 1 ; Etienne Pardoux 1 ; Brice Samegni Kepgnou 1

1 Aix-Marseille Université, CNRS, Centrale Marseille, I2M, UMR 7373 13453 Marseille, France; 
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Peter Kratz; Etienne Pardoux; Brice Samegni Kepgnou. Numerical methods in the context of compartmental models in epidemiology. ESAIM. Proceedings, Tome 48 (2015), pp. 169-189. doi: 10.1051/proc/201448007

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