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A spatiotemporal model to assess the introduction risk of African horse sickness by import of animals and vectors in France
BACKGROUND: African horse sickness (AHS) is a major, Culicoides-borne viral disease in equines whose introduction into Europe could have dramatic consequences. The disease is considered to be endemic in sub-Saharan Africa. Recent introductions of other Culicoides-borne viruses (bluetongue and Schmal...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4455332/ https://www.ncbi.nlm.nih.gov/pubmed/26040321 http://dx.doi.org/10.1186/s12917-015-0435-4 |
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author | Faverjon, C. Leblond, A. Hendrikx, P. Balenghien, T. de Vos, C. J. Fischer, E.A.J. de Koeijer, A.A. |
author_facet | Faverjon, C. Leblond, A. Hendrikx, P. Balenghien, T. de Vos, C. J. Fischer, E.A.J. de Koeijer, A.A. |
author_sort | Faverjon, C. |
collection | PubMed |
description | BACKGROUND: African horse sickness (AHS) is a major, Culicoides-borne viral disease in equines whose introduction into Europe could have dramatic consequences. The disease is considered to be endemic in sub-Saharan Africa. Recent introductions of other Culicoides-borne viruses (bluetongue and Schmallenberg) into northern Europe have highlighted the risk that AHS may arrive in Europe as well. The aim of our study was to provide a spatiotemporal quantitative risk model of AHS introduction into France. The study focused on two pathways of introduction: the arrival of an infectious host (PW-host) and the arrival of an infectious Culicoides midge via the livestock trade (PW-vector). The risk of introduction was calculated by determining the probability of an infectious animal or vector entering the country and the probability of the virus then becoming established: i.e., the virus’s arrival in France resulting in at least one local equine host being infected by one local vector. This risk was assessed using data from three consecutive years (2010 to 2012) for 22 regions in France. RESULTS: The results of the model indicate that the annual risk of AHS being introduced to France is very low but that major spatiotemporal differences exist. For both introduction pathways, risk is higher from July to October and peaks in July. In general, regions with warmer climates are more at risk, as are colder regions with larger equine populations; however, regional variation in animal importation patterns (number and species) also play a major role in determining risk. Despite the low probability that AHSV is present in the EU, intra-EU trade of equines contributes most to the risk of AHSV introduction to France because it involves a large number of horse movements. CONCLUSION: It is important to address spatiotemporal differences when assessing the risk of ASH introduction and thus also when implementing efficient surveillance efforts. The methods and results of this study may help develop surveillance techniques and other risk reduction measures that will prevent the introduction of AHS or minimize AHS’ potential impact once introduced, both in France and the rest of Europe. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12917-015-0435-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4455332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44553322015-06-05 A spatiotemporal model to assess the introduction risk of African horse sickness by import of animals and vectors in France Faverjon, C. Leblond, A. Hendrikx, P. Balenghien, T. de Vos, C. J. Fischer, E.A.J. de Koeijer, A.A. BMC Vet Res Research Article BACKGROUND: African horse sickness (AHS) is a major, Culicoides-borne viral disease in equines whose introduction into Europe could have dramatic consequences. The disease is considered to be endemic in sub-Saharan Africa. Recent introductions of other Culicoides-borne viruses (bluetongue and Schmallenberg) into northern Europe have highlighted the risk that AHS may arrive in Europe as well. The aim of our study was to provide a spatiotemporal quantitative risk model of AHS introduction into France. The study focused on two pathways of introduction: the arrival of an infectious host (PW-host) and the arrival of an infectious Culicoides midge via the livestock trade (PW-vector). The risk of introduction was calculated by determining the probability of an infectious animal or vector entering the country and the probability of the virus then becoming established: i.e., the virus’s arrival in France resulting in at least one local equine host being infected by one local vector. This risk was assessed using data from three consecutive years (2010 to 2012) for 22 regions in France. RESULTS: The results of the model indicate that the annual risk of AHS being introduced to France is very low but that major spatiotemporal differences exist. For both introduction pathways, risk is higher from July to October and peaks in July. In general, regions with warmer climates are more at risk, as are colder regions with larger equine populations; however, regional variation in animal importation patterns (number and species) also play a major role in determining risk. Despite the low probability that AHSV is present in the EU, intra-EU trade of equines contributes most to the risk of AHSV introduction to France because it involves a large number of horse movements. CONCLUSION: It is important to address spatiotemporal differences when assessing the risk of ASH introduction and thus also when implementing efficient surveillance efforts. The methods and results of this study may help develop surveillance techniques and other risk reduction measures that will prevent the introduction of AHS or minimize AHS’ potential impact once introduced, both in France and the rest of Europe. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12917-015-0435-4) contains supplementary material, which is available to authorized users. BioMed Central 2015-06-04 /pmc/articles/PMC4455332/ /pubmed/26040321 http://dx.doi.org/10.1186/s12917-015-0435-4 Text en © Faverjon et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Faverjon, C. Leblond, A. Hendrikx, P. Balenghien, T. de Vos, C. J. Fischer, E.A.J. de Koeijer, A.A. A spatiotemporal model to assess the introduction risk of African horse sickness by import of animals and vectors in France |
title | A spatiotemporal model to assess the introduction risk of African horse sickness by import of animals and vectors in France |
title_full | A spatiotemporal model to assess the introduction risk of African horse sickness by import of animals and vectors in France |
title_fullStr | A spatiotemporal model to assess the introduction risk of African horse sickness by import of animals and vectors in France |
title_full_unstemmed | A spatiotemporal model to assess the introduction risk of African horse sickness by import of animals and vectors in France |
title_short | A spatiotemporal model to assess the introduction risk of African horse sickness by import of animals and vectors in France |
title_sort | spatiotemporal model to assess the introduction risk of african horse sickness by import of animals and vectors in france |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4455332/ https://www.ncbi.nlm.nih.gov/pubmed/26040321 http://dx.doi.org/10.1186/s12917-015-0435-4 |
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