A comparison of the active surveillance of scrapie in the European Union Veterinary Research
A comparison of the active surveillance of scrapie in the European Union Veterinary Research
The abattoir and the fallen stock surveys constitute the active surveillance component aimed at improving the detection of scrapie across the European Union. Previous studies have suggested the occurrence of significant differences in the operation of the surveys across the EU. In the present study we assessed the standardisation of the surveys throughout time across the EU and identified clusters of countries with similar underlying characteristics allowing comparisons between them. In the absence of sufficient covariate information to explain the observed variability across countries, we modelled the unobserved heterogeneity by means of non-parametric distributions on the risk ratios of the fallen stock over the abattoir survey. More specifically, we used the profile likelihood method on 2003, 2004 and 2005 active surveillance data for 18 European countries on classical scrapie, and on 2004 and 2005 data for atypical scrapie separately. We extended our analyses to include the limited covariate information available, more specifically, the proportion of the adult sheep population sampled by the fallen stock survey every year. Our results show that the between-country heterogeneity dropped in 2004 and 2005 relative to that of 2003 for classical scrapie. As a consequence, the number of clusters in the last two years was also reduced indicating the gradual standardisation of the surveillance efforts across the EU. The crude analyses of the atypical data grouped all the countries in one cluster and showed non-significant gain in the detection of this type of scrapie by any of the two sources. The proportion of the population sampled by the fallen stock appeared significantly associated with our risk ratio for both types of scrapie, although in opposite directions: negative for classical and positive for atypical. The initial justification for the fallen stock, targeting a high-risk population to increase the likelihood of case finding, appears compromised for both types of scrapie in some countries
37-52
Del Rio Vilas, Victor Javier
c439650f-6c9d-42c1-80a2-2fa570de525f
Kuhnert, Ronny
8518a8ac-54e5-4117-b66b-66a82fdece7c
Böhning, Dankmar
1df635d4-e3dc-44d0-b61d-5fd11f6434e1
May 2008
Del Rio Vilas, Victor Javier
c439650f-6c9d-42c1-80a2-2fa570de525f
Kuhnert, Ronny
8518a8ac-54e5-4117-b66b-66a82fdece7c
Böhning, Dankmar
1df635d4-e3dc-44d0-b61d-5fd11f6434e1
Del Rio Vilas, Victor Javier, Kuhnert, Ronny and Böhning, Dankmar
(2008)
A comparison of the active surveillance of scrapie in the European Union Veterinary Research.
BMC Veterinary Research, 39 (3), .
(doi:10.1051/vetres:2008014).
Abstract
The abattoir and the fallen stock surveys constitute the active surveillance component aimed at improving the detection of scrapie across the European Union. Previous studies have suggested the occurrence of significant differences in the operation of the surveys across the EU. In the present study we assessed the standardisation of the surveys throughout time across the EU and identified clusters of countries with similar underlying characteristics allowing comparisons between them. In the absence of sufficient covariate information to explain the observed variability across countries, we modelled the unobserved heterogeneity by means of non-parametric distributions on the risk ratios of the fallen stock over the abattoir survey. More specifically, we used the profile likelihood method on 2003, 2004 and 2005 active surveillance data for 18 European countries on classical scrapie, and on 2004 and 2005 data for atypical scrapie separately. We extended our analyses to include the limited covariate information available, more specifically, the proportion of the adult sheep population sampled by the fallen stock survey every year. Our results show that the between-country heterogeneity dropped in 2004 and 2005 relative to that of 2003 for classical scrapie. As a consequence, the number of clusters in the last two years was also reduced indicating the gradual standardisation of the surveillance efforts across the EU. The crude analyses of the atypical data grouped all the countries in one cluster and showed non-significant gain in the detection of this type of scrapie by any of the two sources. The proportion of the population sampled by the fallen stock appeared significantly associated with our risk ratio for both types of scrapie, although in opposite directions: negative for classical and positive for atypical. The initial justification for the fallen stock, targeting a high-risk population to increase the likelihood of case finding, appears compromised for both types of scrapie in some countries
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Published date: May 2008
Organisations:
Statistics, Statistical Sciences Research Institute
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Local EPrints ID: 210483
URI: http://eprints.soton.ac.uk/id/eprint/210483
ISSN: 1746-6148
PURE UUID: c84bd44f-4221-4d56-8656-1e74e2da0712
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Date deposited: 09 Feb 2012 14:18
Last modified: 15 Mar 2024 03:39
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Author:
Victor Javier Del Rio Vilas
Author:
Ronny Kuhnert
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