Title |
Explaining the heterogeneous scrapie surveillance figures across Europe: a meta-regression approach
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Published in |
BMC Veterinary Research, June 2007
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DOI | 10.1186/1746-6148-3-13 |
Pubmed ID | |
Authors |
Victor J Del Rio Vilas, Petter Hopp, Telmo Nunes, Giuseppe Ru, Kumar Sivam, Angel Ortiz-Pelaez |
Abstract |
Two annual surveys, the abattoir and the fallen stock, monitor the presence of scrapie across Europe. A simple comparison between the prevalence estimates in different countries reveals that, in 2003, the abattoir survey appears to detect more scrapie in some countries. This is contrary to evidence suggesting the greater ability of the fallen stock survey to detect the disease. We applied meta-analysis techniques to study this apparent heterogeneity in the behaviour of the surveys across Europe. Furthermore, we conducted a meta-regression analysis to assess the effect of country-specific characteristics on the variability. We have chosen the odds ratios between the two surveys to inform the underlying relationship between them and to allow comparisons between the countries under the meta-regression framework. Baseline risks, those of the slaughtered populations across Europe, and country-specific covariates, available from the European Commission Report, were inputted in the model to explain the heterogeneity. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 4% |
Unknown | 24 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 32% |
Student > Master | 2 | 8% |
Professor | 2 | 8% |
Student > Bachelor | 1 | 4% |
Student > Doctoral Student | 1 | 4% |
Other | 5 | 20% |
Unknown | 6 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 6 | 24% |
Veterinary Science and Veterinary Medicine | 3 | 12% |
Medicine and Dentistry | 3 | 12% |
Nursing and Health Professions | 2 | 8% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Other | 2 | 8% |
Unknown | 8 | 32% |