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How mechanistic modelling supports decision making for the control of enzootic infectious diseases

By Pauline Ezanno, Mathieu Andraud, Gaël Beaunée, Thierry Hoch, S. Krebs, Arnaud Rault, Suzanne Touzeau, Elisabeta Vergu and Stefan Widgren

Abstract

International audienceControlling enzootic diseases, which generate a large cumulative burden and are often unregulated, is needed for sustainable farming, competitive agri-food chains, and veterinary public health. We discuss the benefits and challenges of mechanistic epidemiological modelling for livestock enzootics, with particular emphasis on the need for interdisciplinary approaches. We focus on issues arising when modelling pathogen spread at various scales (from farm to the region) to better assess disease control and propose targeted options. We discuss in particular the inclusion of farmers’ strategic decision-making, the integration of within-host scale to refine intervention targeting, and the need to ground models on data

Topics: Epidemiological model, Interdisciplinarity, Multiscale, Livestock, Health economics, Data, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Publisher: 'Elsevier BV'
Year: 2020
DOI identifier: 10.1016/j.epidem.2020.100398
OAI identifier: oai:HAL:hal-02895529v1
Provided by: HAL-INSU
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