A generic framework to model infection dynamics in a metapopulation of cattle herds

Abstract : Developing epidemiological models at a regional scale requires coupling within-farm epidemiological models, leading to complex structure. Such systems also require large computational resources. Our objective is to propose a generic framework to represent pathogenic spread in a metapopulation that could be used for any endemic host/pathogen system, as long as a herd epidemiological model is available. Two implementations have been tested and applied to a pathogen: Mycobacterium avium subsp. paratuberculosis. One of them is optimized for distributed computing.
Type de document :
Poster
ECCB'14, the 13th European Conference on Computational Biology, Sep 2014, Strasbourg, France. European Conference on Computational Biology 2014, 7 - 10 Sep 2014, J35 〈http://www.eccb14.org/home/welcome〉
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https://hal.inria.fr/hal-01097441
Contributeur : Yvon Jégou <>
Soumis le : vendredi 19 décembre 2014 - 16:11:02
Dernière modification le : mercredi 11 avril 2018 - 02:01:03

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  • HAL Id : hal-01097441, version 1

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Sandie Arnoux, Yvon Jégou, Gaël Beaunée, Pauline Ezanno. A generic framework to model infection dynamics in a metapopulation of cattle herds. ECCB'14, the 13th European Conference on Computational Biology, Sep 2014, Strasbourg, France. European Conference on Computational Biology 2014, 7 - 10 Sep 2014, J35 〈http://www.eccb14.org/home/welcome〉. 〈hal-01097441〉

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