Skip to Main content Skip to Navigation
Journal articles

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

Abstract : Controlling 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.
Document type :
Journal articles
Complete list of metadata

https://hal.inrae.fr/hal-02895529
Contributor : Stéphane Krebs <>
Submitted on : Thursday, March 18, 2021 - 7:04:31 AM
Last modification on : Tuesday, September 7, 2021 - 3:44:18 PM

File

1-s2.0-S1755436520300256-main....
Publication funded by an institution

Licence


Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License

Identifiers

Citation

Pauline Ezanno, Mathieu Andraud, Gaël Beaunée, Thierry Hoch, S. Krebs, et al.. How mechanistic modelling supports decision making for the control of enzootic infectious diseases. Epidemics, Elsevier, 2020, 32, pp.100398. ⟨10.1016/j.epidem.2020.100398⟩. ⟨hal-02895529⟩

Share

Metrics

Record views

248

Files downloads

113