How network analysis of oyster movements can improve surveillance and control programs of infectious diseases?
Parue en abstract dans Frontiers in Veterinary Science 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 highl...
Published in: | Frontiers in Veterinary Science |
---|---|
Main Authors: | , , , , , , , |
Other Authors: | , , , , |
Format: | Conference Object |
Language: | English |
Published: |
HAL CCSD
2016
|
Subjects: | |
Online Access: | https://hal.archives-ouvertes.fr/hal-01605650 https://doi.org/10.3389/conf.FVETS.2016.02.00044 |
id |
ftunivnantes:oai:HAL:hal-01605650v1 |
---|---|
record_format |
openpolar |
spelling |
ftunivnantes:oai:HAL:hal-01605650v1 2023-05-15T15:59:04+02:00 How network analysis of oyster movements can improve surveillance and control programs of infectious diseases? Lupo, Coralie Ezanno, Pauline Arzul, Isabelle Garcia, Céline Jadot, Cécile Joly, Jean-Pierre Renault, Tristan Bareille, Nathalie Laboratoire de Génétique et Pathologie des Mollusques Marins (LGPMM) Santé, Génétique et Microbiologie des Mollusques (SGMM) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-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)-École nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS) Oslo, Norway 2016-09-20 https://hal.archives-ouvertes.fr/hal-01605650 https://doi.org/10.3389/conf.FVETS.2016.02.00044 en eng HAL CCSD info:eu-repo/semantics/altIdentifier/doi/10.3389/conf.FVETS.2016.02.00044 hal-01605650 https://hal.archives-ouvertes.fr/hal-01605650 doi:10.3389/conf.FVETS.2016.02.00044 PRODINRA: 392633 1. AquaEpi (Aquatic Animal Epidemiology) https://hal.archives-ouvertes.fr/hal-01605650 1. AquaEpi (Aquatic Animal Epidemiology), Sep 2016, Oslo, Norway. , 2016, 1. AquaEpi (Aquatic Animal Epidemiology). ⟨10.3389/conf.FVETS.2016.02.00044⟩ http://www.frontiersin.org/10.3389/conf.FVETS.2016.02.00044/event_abstract Risk-based surveillance Network analysis Shellfish diseases Survey Risk-based decision making [SDV]Life Sciences [q-bio] info:eu-repo/semantics/conferenceObject Conference poster 2016 ftunivnantes https://doi.org/10.3389/conf.FVETS.2016.02.00044 https://doi.org/10.3389/conf.FVETS.2016.02.00044/event_abstract 2022-11-30T01:56:37Z Parue en abstract dans Frontiers in Veterinary Science 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 ... Conference Object Crassostrea gigas Pacific oyster Université de Nantes: HAL-UNIV-NANTES Pacific Norway Frontiers in Veterinary Science 3 |
institution |
Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
Risk-based surveillance Network analysis Shellfish diseases Survey Risk-based decision making [SDV]Life Sciences [q-bio] |
spellingShingle |
Risk-based surveillance Network analysis Shellfish diseases Survey Risk-based decision making [SDV]Life Sciences [q-bio] Lupo, Coralie Ezanno, Pauline Arzul, Isabelle Garcia, Céline Jadot, Cécile Joly, Jean-Pierre Renault, Tristan Bareille, Nathalie How network analysis of oyster movements can improve surveillance and control programs of infectious diseases? |
topic_facet |
Risk-based surveillance Network analysis Shellfish diseases Survey Risk-based decision making [SDV]Life Sciences [q-bio] |
description |
Parue en abstract dans Frontiers in Veterinary Science 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 ... |
author2 |
Laboratoire de Génétique et Pathologie des Mollusques Marins (LGPMM) Santé, Génétique et Microbiologie des Mollusques (SGMM) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-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)-École nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS) |
format |
Conference Object |
author |
Lupo, Coralie Ezanno, Pauline Arzul, Isabelle Garcia, Céline Jadot, Cécile Joly, Jean-Pierre Renault, Tristan Bareille, Nathalie |
author_facet |
Lupo, Coralie Ezanno, Pauline Arzul, Isabelle Garcia, Céline Jadot, Cécile Joly, Jean-Pierre Renault, Tristan Bareille, Nathalie |
author_sort |
Lupo, Coralie |
title |
How network analysis of oyster movements can improve surveillance and control programs of infectious diseases? |
title_short |
How network analysis of oyster movements can improve surveillance and control programs of infectious diseases? |
title_full |
How network analysis of oyster movements can improve surveillance and control programs of infectious diseases? |
title_fullStr |
How network analysis of oyster movements can improve surveillance and control programs of infectious diseases? |
title_full_unstemmed |
How network analysis of oyster movements can improve surveillance and control programs of infectious diseases? |
title_sort |
how network analysis of oyster movements can improve surveillance and control programs of infectious diseases? |
publisher |
HAL CCSD |
publishDate |
2016 |
url |
https://hal.archives-ouvertes.fr/hal-01605650 https://doi.org/10.3389/conf.FVETS.2016.02.00044 |
op_coverage |
Oslo, Norway |
geographic |
Pacific Norway |
geographic_facet |
Pacific Norway |
genre |
Crassostrea gigas Pacific oyster |
genre_facet |
Crassostrea gigas Pacific oyster |
op_source |
1. AquaEpi (Aquatic Animal Epidemiology) https://hal.archives-ouvertes.fr/hal-01605650 1. AquaEpi (Aquatic Animal Epidemiology), Sep 2016, Oslo, Norway. , 2016, 1. AquaEpi (Aquatic Animal Epidemiology). ⟨10.3389/conf.FVETS.2016.02.00044⟩ http://www.frontiersin.org/10.3389/conf.FVETS.2016.02.00044/event_abstract |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3389/conf.FVETS.2016.02.00044 hal-01605650 https://hal.archives-ouvertes.fr/hal-01605650 doi:10.3389/conf.FVETS.2016.02.00044 PRODINRA: 392633 |
op_doi |
https://doi.org/10.3389/conf.FVETS.2016.02.00044 https://doi.org/10.3389/conf.FVETS.2016.02.00044/event_abstract |
container_title |
Frontiers in Veterinary Science |
container_volume |
3 |
_version_ |
1766394853957042176 |