Journal
PREVENTIVE VETERINARY MEDICINE
Volume 45, Issue 1-2, Pages 83-106Publisher
ELSEVIER
DOI: 10.1016/S0167-5877(00)00118-5
Keywords
herd test; bias; pooled testing; test combinations; sensitivity; specificity; predictive values
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Correct classification of the true status of herds is an important component of epidemiologic studies and animal disease-control programs. We review theoretical aspects of herd-level testing through consideration of test performance (herd-level sensitivity, specificity and predictive values), the factors affecting these estimates, and available software for calculations. We present new aspects and considerations concerning the effect of precision and bias in estimation of individual-test performance on herd-test performance and suggest methods (pooled testing, targeted sampling of subpopulations with higher prevalence, and use of combinations of tests) to improve herd-level sensitivity when the expected within-herd prevalence is low. (C) 2000 Elsevier Science B,V. All rights reserved.
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