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Discretization of an adaptive prediction model using a non-homogeneous meshing

Abstract : In a previous work, we have developed a model based on 2D diffusion equations which was discretized on homogeneous meshes taking into account the mobility of entities in an existing prediction model. This model does not fit with the reality of administrative boundaries. The purpose of this paper is to deal with a more realistic approach where the boundary of the study regions are irregular. The work is done in a meshing imposed by the geographical configuration of the administrative divisions and the discretization is done with the finite volumes method for complex geometries. The validation is done using a set of administrative divisions through a multi-agent system and a shapefile extracted in a geographic information system were the modified SIR epidemiological model is applied to highlight the dynamic effect in the spread.
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Contributor : Samuel Ismael Billong Iv Connect in order to contact the contributor
Submitted on : Monday, August 31, 2020 - 4:56:05 PM
Last modification on : Tuesday, December 7, 2021 - 5:50:03 PM
Long-term archiving on: : Tuesday, December 1, 2020 - 12:14:34 PM


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  • HAL Id : hal-02925946, version 1



Samuel Billong, Georges Kouamou, Thomas Bouétou Bouétou. Discretization of an adaptive prediction model using a non-homogeneous meshing. CARI 2020 - Colloque Africain sur la Recherche en Informatique et en Mathématiques Apliquées, Oct 2020, Thies, Senegal. ⟨hal-02925946⟩



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