Literature DB >> 11580058

Evaluation of diagnostic tests for the detection of classical swine fever in the field without a gold standard.

A Bouma1, J A Stegeman, B Engel, E P de Kluijver, A R Elbers, M C De Jong.   

Abstract

Knowledge of the sensitivity of diagnostic tests for infectious diseases under field conditions can be used to design a surveillance program that increases the effectiveness of the control policy. In this study, the sensitivity of tests for the detection of classical swine fever (CSF) virus (CSFV) under field conditions was estimated without knowledge of the true disease status of the animals tested. During the CSF epidemic of 1997-1998 in The Netherlands, tonsil samples from pigs of CSF suspect farms were collected for laboratory diagnosis of CSE These specimens were tested in a fluorescence antibody test (FAT1) for the presence of CSFV antigen. When at least 1 specimen in a particular sample series from a farm was positive, this farm was declared CSFV infected. Specimens of that series, either FAT1 negative (98) or FAT1 positive (127), were subsequently tested again (FAT2). After that, a suspension was made of the remaining tissue, and this suspension was evaluated with a virus isolation test. In total, 225 tonsil specimens were examined. A statistical model was formulated, and the sensitivity of the 3 tests and the prevalence of positive specimens in the sample were estimated by the method of maximum likelihood. The sensitivity of the FAT1, the test that was used for confirmation of CSFV infection in a pig herd, was approximately 78% (95% confidence interval [CI] = 62-92%). The effectiveness of the selection process of animals on the farm by the veterinarian was estimated to be 77% (64-87%). The sensitivity of the combination of FAT1 and FAT2 (60%) indicates that at least 5 animals should be selected on a CSF-suspect farm to gain a detection probability for CSFV of 99%.

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Year:  2001        PMID: 11580058     DOI: 10.1177/104063870101300503

Source DB:  PubMed          Journal:  J Vet Diagn Invest        ISSN: 1040-6387            Impact factor:   1.279


  5 in total

1.  Simulated detection of syndromic classical swine fever on a Finnish pig-breeding farm.

Authors:  S M Raulo; T Lyytikäinen
Journal:  Epidemiol Infect       Date:  2007-02       Impact factor: 2.451

2.  Assessing validity of a depression screening instrument in the absence of a gold standard.

Authors:  Bizu Gelaye; Mahlet G Tadesse; Michelle A Williams; Jesse R Fann; Ann Vander Stoep; Xiao-Hua Andrew Zhou
Journal:  Ann Epidemiol       Date:  2014-05-02       Impact factor: 3.797

3.  Comparison of a new multiplex real-time PCR with the Kato Katz thick smear and copro-antigen ELISA for the detection and differentiation of Taenia spp. in human stools.

Authors:  Dinh Ng-Nguyen; Mark A Stevenson; Pierre Dorny; Sarah Gabriël; Tinh Van Vo; Van-Anh Thi Nguyen; Trong Van Phan; Sze Fui Hii; Rebecca J Traub
Journal:  PLoS Negl Trop Dis       Date:  2017-07-07

4.  Vulnerability of the British swine industry to classical swine fever.

Authors:  Thibaud Porphyre; Carla Correia-Gomes; Margo E Chase-Topping; Kokouvi Gamado; Harriet K Auty; Ian Hutchinson; Aaron Reeves; George J Gunn; Mark E J Woolhouse
Journal:  Sci Rep       Date:  2017-02-22       Impact factor: 4.379

5.  Bayesian Estimation of the True Prevalence and of the Diagnostic Test Sensitivity and Specificity of Enteropathogenic Yersinia in Finnish Pig Serum Samples.

Authors:  M J Vilar; J Ranta; S Virtanen; H Korkeala
Journal:  Biomed Res Int       Date:  2015-10-11       Impact factor: 3.411

  5 in total

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