Agritrop
Home

Spatial and functional organization of pig trade in different European production systems: Implications for disease prevention and control

Relun Anne, Grosbois Vladimir, Sanchez Vizcaino José Manuel, Alexandrov Tsviatko, Feliziani Francesco, Waret-Szkuta Agnès, Molia Sophie, Etter Eric, Martinez-Lopez Beatriz. 2016. Spatial and functional organization of pig trade in different European production systems: Implications for disease prevention and control. Frontiers in Veterinary Science, 3 (4), 14 p.

Journal article ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
[img]
Preview
Version Online first - Anglais
Use under authorization by the author or CIRAD.
Relun 16 PigTradeOrgEU.pdf

Télécharger (1MB) | Preview

Abstract : Understanding the complexity of live pig trade organization is a key factor to predict and control major infectious diseases such as Classical or African swine fever. Whereas the organization of pig trade has been described in several European countries with indoor commercial production systems, little information is available on this organisation in other systems like outdoor or small-scale systems. The objective of this study was to describe and compare the spatial and functional organisation of live pig trade in different European countries and different production systems. Data on premise characteristics and pig movements between premises were collected during 2011 from Bulgaria, France, Italy and Spain, which swine industry is representative of most of the production systems in Europe (i.e. commercial vs small-scale; outdoor vs indoor). Trade communities were identified in each country using the Walktrap algorithm. Several descriptive and network metrics were generated at country and community level. Pig trade organization showed heterogeneous spatial and functional organization. Trade communities mostly composed of indoor commercial premises were identified in Western France, Northern Italy, Northern Spain and North-Western Bulgaria. They covered large distances, overlapped in space, demonstrated both scale-free and small-world properties, with a role of trade operators and multipliers as key premises. Trade communities involving outdoor commercial premises were identified in Western Spain, South-Western and Central France. They were more spatially clustered, demonstrated scale-free properties, with multipliers as key premises. Small-scale communities involved the majority of premises in Bulgaria and in central and Southern Italy. They were spatially clustered and had scale-free properties, with key premises usually being commercial production premises. These results indicate that a disease might spread very differently according to the production system and that key premises could be targeted to more cost-effectively control diseases. This study provides useful epidemiological information and parameters that could be used to design risk-based surveillance strategies or to more accurately model the risk of introduction or spread of devastating swine diseases such as African swine fever, classical swine fever or foot-and-mouth disease. (Résumé d'auteur)

Mots-clés Agrovoc : Porcin, Maladie infectieuse, Surveillance épidémiologique, Contrôle de maladies, Commercialisation, Méthode d'élevage, Petite exploitation agricole, Grande exploitation agricole, Modèle de simulation, Modèle mathématique, Élevage en batterie, Élevage en liberté, Analyse du risque, Gestion du risque, Système de production

Mots-clés géographiques Agrovoc : Pays de l'Union européenne, Bulgarie, France, Italie, Espagne

Mots-clés libres : Network analysis, Community, Movements, Risk-based surveillance, Swine, Infectious diseases

Classification Agris : L73 - Animal diseases
U10 - Computer science, mathematics and statistics

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

Auteurs et affiliations

  • Relun Anne, CIRAD-ES-UPR AGIRs (FRA)
  • Grosbois Vladimir, CIRAD-ES-UPR AGIRs (FRA)
  • Sanchez Vizcaino José Manuel, Universidad Complutense de Madrid (ESP)
  • Alexandrov Tsviatko, Bulgarian Food Safety Agency (BGR)
  • Feliziani Francesco, IZS (ITA)
  • Waret-Szkuta Agnès, ENVT (FRA)
  • Molia Sophie, CIRAD-ES-UPR AGIRs (FRA)
  • Etter Eric, CIRAD-ES-UPR AGIRs (ZAF)
  • Martinez-Lopez Beatriz, Universidad Complutense de Madrid (ESP)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/579416/)

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2021-03-07 ]