Sense and sensitivity - Designing surveys based on an imperfect test

Preventive Veterinary Medicine

Volumn 49, Issue 3-4, 2001, Pages 141-163

  Cannon, R M ^a  

^a Office of the Chief Veterinary Officer   (Australia)

Author keywords

Beta function; Combining confidence levels; Confidence limits; Estimation of prevalence; Hypergeometric approximation; Sampling to detect disease; Survey design

Indexed keywords

ANIMAL; ANIMAL DISEASE; ARTICLE; HEALTH SURVEY; LABORATORY DIAGNOSIS; MASS SCREENING; PREVALENCE; SENSITIVITY AND SPECIFICITY; THEORETICAL MODEL;

ANIMAL DISEASES; ANIMALS; FALSE NEGATIVE REACTIONS; FALSE POSITIVE REACTIONS; HEALTH SURVEYS; MASS SCREENING; MODELS, THEORETICAL; PREVALENCE; SENSITIVITY AND SPECIFICITY;

ANIMALIA;

EID: 0035339921     PISSN: 01675877     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-5877(01)00184-2     Document Type: Article

References (5)

1. A new probability formula for surveys to substantiate freedom from disease
2. Two-stage sampling in surveys to substantiate freedom from disease
3. A national serological survey to verify Australia's freedom from porcine reproductive and respiratory syndrome
4. A theoretical basis for the use of a skin test for brucellosis surveillance in extensively managed cattle herds
5. Evaluating the health status of herds based on tests applied to individuals