Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 83-106 |
| Number of pages | 24 |
| Journal | Preventive Veterinary Medicine |
| Volume | 45 |
| Issue number | 1-2 |
| DOIs | |
| State | Published - May 30 2000 |
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Keywords
- Bias
- Herd test
- Pooled testing
- Predictive values
- Sensitivity
- Specificity
- Test combination
ASJC Scopus subject areas
- Food Animals
- Animal Science and Zoology
Cite this
Herd-level interpretation of test results for epidemiologic studies of animal diseases. / Christensen, Jette; Gardner, Ian.
In: Preventive Veterinary Medicine, Vol. 45, No. 1-2, 30.05.2000, p. 83-106.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Herd-level interpretation of test results for epidemiologic studies of animal diseases
AU - Christensen, Jette
AU - Gardner, Ian
PY - 2000/5/30
Y1 - 2000/5/30
N2 - 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.
AB - 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.
KW - Bias
KW - Herd test
KW - Pooled testing
KW - Predictive values
KW - Sensitivity
KW - Specificity
KW - Test combination
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UR - http://www.scopus.com/inward/citedby.url?scp=0034732977&partnerID=8YFLogxK
U2 - 10.1016/S0167-5877(00)00118-5
DO - 10.1016/S0167-5877(00)00118-5
M3 - Article
C2 - 10802335
AN - SCOPUS:0034732977
VL - 45
SP - 83
EP - 106
JO - Preventive Veterinary Medicine
JF - Preventive Veterinary Medicine
SN - 0167-5877
IS - 1-2
ER -