How network analysis of oyster movements can improve surveillance and control programs of infectious diseases?

• Published in: Frontiers in Veterinary Science
• Main Authors: Lupo, Coralie, Ezanno, Pauline, Arzul, Isabelle, Garcia, Céline, Jadot, Cécile, Joly, Jean-Pierre, Renault, Tristan, Bareille, Nathalie
• Other Authors: Laboratoire de Génétique et Pathologie des Mollusques Marins, Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), UMR 1300 Biologie, Epidémiologie et Analyse du Risque, Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire, Agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS)-Biologie, Epidémiologie et Analyse du Risque (BioEpAR)-Santé animale (S.A.), Département Ressources Biologiques et Environnement
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2016
• Subjects: Risk-based surveillance; Network analysis; Shellfish diseases; Survey; Risk-based decision making; [SDV]Life Sciences [q-bio]; Norway; Pacific; Crassostrea gigas; Pacific oyster
• Online Access: https://hal.archives-ouvertes.fr/hal-01605650; https://doi.org/10.3389/conf.FVETS.2016.02.00044

Parue en abstract dans Frontiers in Veterinary Science Animal movements are one of the main ways to introduce and spread pathogens. In French oyster farming, many stakeholders and premises are heterogeneously divided over the country and a highly dynamic flow of oysters exists among them. In the context of animal disease surveillance and control, analysis of the animal movement’ network can provide useful information to build adapted surveillance strategies or to develop risk management. Movement network analysis has been widely used in terrestrial production, to evaluate the vulnerability of animal movement network to the spread of a specific disease.In France, since 2008, Pacific oyster spat (Crassostrea gigas) has been affected by massive mortality outbreaks associated with the detection of a newly reported variant of ostreid herpesvirus type 1 (OsHV-1). These mortality events have a direct economic impact causing considerable concern to oyster farmers. A previous epidemiological study has highlighted the potential role of oyster transfers in the spread of these outbreaks. However, neither mandatory database nor reliable data is publicly available concerning oyster transfers in France.In this context, a field study was carried out in the main oyster production area in France, Charente-Maritime bay, to map oyster movements and to characterize the corresponding network structure related to potential disease spread. Seventy-five oyster farmers were randomly selected in Charente-Maritime bay between July and September 2010, according to a stratified sampling design based on farm category regarding production type and location (i.e. spat producers, local farmers, beyond farmers, local farmer-senders, beyond farmer-senders). Data related to the farm characteristics and activities, routine rearing scheme and potential changes in husbandry practices were collected during a face-to-face interview of the oyster farmer, using a standardized questionnaire and a land register. Movement data were spatialized and analyzed ...