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

Sandie Arnoux; Yvon Jégou; Gaël Beaunée; Pauline Ezanno

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

IRISA-D1 - SYSTÈMES LARGE ÉCHELLE, Inria Rennes – Bretagne Atlantique

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.

Document type :

Poster communications

Domain :

Computer Science [cs] / Distributed, Parallel, and Cluster Computing [cs.DC]

Complete list of metadata

https://hal.inria.fr/hal-01097441
Contributor : Yvon Jégou Connect in order to contact the contributor
Submitted on : Friday, December 19, 2014 - 4:11:02 PM
Last modification on : Saturday, April 9, 2022 - 4:34:05 PM

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

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

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