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Poster communications

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

Sandie Arnoux 1 Yvon Jégou 2 Gaël Beaunée 1 Pauline Ezanno 1
1 ONIRIS-INRA - Umr 1300 Bioagression, Epidémiologie et Analyse de Risque
2 MYRIADS - Design and Implementation of Autonomous Distributed Systems
Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
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.
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Poster communications
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https://hal.inria.fr/hal-01097441
Contributor : Yvon Jégou <>
Submitted on : Friday, December 19, 2014 - 4:11:02 PM
Last modification on : Tuesday, June 2, 2020 - 9:04:02 PM

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  • HAL Id : hal-01097441, version 1

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UNIV-RENNES1 | CNRS | INRIA | INRA | IRISA | UNAM | IRISA-D1 | INSTITUT-TELECOM | UR1-UFR-ISTIC | UNIV-RENNES

Citation

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. ⟨hal-01097441⟩

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