Title :

Combining early hyperthermia detection with metaphylaxis for reducing antibiotics usage in newly received beef bulls at fattening operations: a simulation-based approach

Author(s) :

Picault, Sebastien [Auteur]
Biologie, Epidémiologie et analyse de risque en Santé Animale [BIOEPAR]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Ezanno, Pauline [Auteur]
Biologie, Epidémiologie et analyse de risque en Santé Animale [BIOEPAR]
Assié, Sébastien [Auteur]
Biologie, Epidémiologie et analyse de risque en Santé Animale [BIOEPAR]

Conference title :

SVEPM: Conference & Annual General Meeting

City :

Utrecht

Country :

Pays-Bas

Start date of the conference :

2019-03-27

Book title :

SVEPM: Conference & Annual General Meeting

Journal title :

Proceedings of the SVEPM: Conference & Annual General Meeting

Publication date :

2019-03

English keyword(s) :

bovine respiratory disease
antibiotics usage
epidemiological modelling
disease detection

HAL domain(s) :

Informatique [cs]/Modélisation et simulation
Sciences du Vivant [q-bio]/Biologie animale/Médecine vétérinaire et santé animale
Sciences du Vivant [q-bio]/Santé publique et épidémiologie
Informatique [cs]/Intelligence artificielle [cs.AI]

English abstract : [en]

Bovine Respiratory Disease (BRD) dramatically affects fattened young beef bull pens. How metaphylaxis and early detection help balance disease duration and antibiotics usage remains unclear. Our goal was to determine ...
Show more >Bovine Respiratory Disease (BRD) dramatically affects fattened young beef bull pens. How metaphylaxis and early detection help balance disease duration and antibiotics usage remains unclear. Our goal was to determine efficient control strategies, assessed on disease duration, antibiotics doses, and true positives, for various infection forces accounting for BRD pathogen diversity. A stochastic mechanistic individual-based model combined infectious processes, detection methods, and treatment protocols in a realistic simulated small-size pen. To enable veterinary experts to assess and revise model assumptions, a new artificial intelligence framework, EMULSION, was used to describe model features in an explicit and intelligible form. Parameters were calibrated from observed data. Overpassing on-farm reference scenario using boluses required to very early detect the first case while using longer hyperthermia for subsequent detections. Metaphylaxis was efficient only for high pathogen transmission. Besides concrete recommendations to farmers, EMULSION models could easily address other farming systems, treatments, and diseases.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

ANR Project :

Modélisation multi-échelle, de l'Intra-Hôte animal à la Métapopulation, des mécanismes de propagation d'agents

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL