Evaluation of sensitivity and specificity of routine meat inspection of Danish slaughter pigs using Latent Class Analysis

Preventive Veterinary Medicine

Volumn 94, Issue 3-4, 2010, Pages 165-169

  Bonde, Marianne ^a   Toft, Nils ^b   Thomsen, Peter T ^a   Sørensen, Jan Tind ^a  

^a DANISH INSTITUTE OF AGRICULTURAL SCIENCES   (Denmark)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Conventional; Diseases; Meat inspection; Organic; Sensitivity; Slaughter pigs; Specificity

Indexed keywords

ANIMAL; ANIMAL DISEASE; ANIMAL HUSBANDRY; ANIMAL PARASITOSIS; ARTICLE; DENMARK; ENTEROPATHY; FOOD CONTROL; HEART DISEASE; HUMAN; MEAT; METHODOLOGY; PATHOLOGY; PREVALENCE; RESPIRATORY TRACT DISEASE; SENSITIVITY AND SPECIFICITY; STANDARD; SWINE; SWINE DISEASE;

ANIMAL HUSBANDRY; ANIMALS; DENMARK; FOOD INSPECTION; HEART DISEASES; HUMANS; INTESTINAL DISEASES; MEAT; PARASITIC DISEASES, ANIMAL; PREVALENCE; RESPIRATORY TRACT DISEASES; SENSITIVITY AND SPECIFICITY; SWINE; SWINE DISEASES;

SUIDAE;

EID: 77949487510     PISSN: 01675877     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.prevetmed.2010.01.009     Document Type: Article

References (14)

1. Baumgartner J., Leeb T., Gruber T., and Tiefenbacher R. Husbandry and animal health on organic pig farms in Austria. Anim. Welfare 12 (2003) 631-635
2. Bonde M., Hegelund L., and Sørensen J.T. Forskellige sundhedsproblemer hos økologiske henholdsvis konventionelle indendørs slagtesvin (Differences in the health problems of organic and conventional fattening pigs). Forskningsnytt om økologisk landbruk i Norden 1 (2006) 8-9 (in Danish)
3. Branscum A.J., Gardner I.A., and Johnson W.O. Estimation of diagnostic-test sensitivity and specificity through Bayesian modeling. Prev. Vet. Med. 68 (2005) 145-163
4. Davies P.R., Bahnson P.B., Grass J.J., Marsh W.E., and Dial G.D. Agreement among veterinarians evaluating gross lesions of lungs, livers, and nasal turbinates of pigs. J. Am. Vet. Med. Assoc. 209 4 (1996) 823-826
5. Ebke, M., Sundrum, A., 2004. Qualitätssicherung in der ökologischen Schweinemast [Ensuring quality in organic pig production]. Paper presented at 8. Wissenschaftstagung Ökologischer Landbau, Kassel, 1. -4. März 2005; Published in Heß, J and Rahmann, G, Eds. Ende der Nische, Beiträge zur 8. Wissenschaftstagung Ökologischer Landbau. Kassel University Press GmbH, Kassel, 337-340.
6. Enøe C., Christensen G., Andersen S., and Willeberg P. The need for built-in validation of surveillance data so that changes in diagnostic performance of post-mortem meat inspection can be detected. Prev. Vet. Med. 57 3 (2003) 117-125
7. Hui S.L., and Walter S.D. Estimating the error rates of diagnostic tests. Biometrics 36 (1980) 167-171
8. R Development Core Team. R: A Language and Environment for Statistical Computing (2008), R Foundation for Statistical Computing, Vienna, Austria. http://www.r-project.org/ ISBN 3-900051-07-0, http://www.r-project.org/
9. Thomas A., O'Hara B., Ligges U., and Sturtz S. Making BUGS Open. R News 6 (2006) 12-17
10. Toft N., Nielsen L.R., and Højsgaard S. Exploring disease definitions of Salmonella Dublin in latent class analysis. Proceedings of the 10th International Symposium on Veterinary Epidemiology and Economics. Vina del Mar, Chile. November 17-21 (2003)
11. Toft N., Jørgensen E., and Højsgaard S. Diagnosing diagnostic tests: evaluating the assumptions underlying the estimation of sensitivity and specificity in the absence of a gold standard. Prev. Vet. Med. 68 (2005) 19-33
12. Toft N., Innocent G.T., Gettinby G., and Reid S.W.J. Assessing the convergence of Markov Chain Monte Carlo methods: an example from evaluation of diagnostic tests in absence of a gold standard. Prev. Vet. Med. 79 (2007) 244-256
13. Toft N., Åkerstedt J., Tharaldsen J., and Hopp P. Evaluation of three serological tests for diagnosis of Maedi-Visna virus infection using latent class analysis. Vet. Microbiol. 120 (2007) 77-86
14. Vacek P.M. The effect of conditional dependence on the evaluation of diagnostic tests. Biometrics 41 (1985) 959-968