2001
DOI: 10.1051/vetres:2001102
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Proposed criteria to determine whether a territory is free of a given animal disease

Abstract: -This text describes the general principles underlying the concept of disease-free territory and the required statistical basis for the corresponding epidemiological surveillance operations. Among the essential points, it is emphasised that "disease-free" status should be given only under conditions substantiating the absence of infection (or infestation) and not simply on basis of a known low level of infection (or infestation). This manuscript also raises concerns about possible confusion that has arisen bet… Show more

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Cited by 12 publications
(7 citation statements)
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“…If a management unit (or population) can be declared “disease-free”, these actions can be avoided. Demonstrating “freedom from disease” in an animal population is rooted in regulatory requirements pertaining to national and international domestic animal trade [1], although the phrase can be conceptually and legally ambiguous [2],[3]. The only way to demonstrate an area is truly disease-free is to conduct a complete census, which is almost always impractical.…”
Section: Introductionmentioning
confidence: 99%
“…If a management unit (or population) can be declared “disease-free”, these actions can be avoided. Demonstrating “freedom from disease” in an animal population is rooted in regulatory requirements pertaining to national and international domestic animal trade [1], although the phrase can be conceptually and legally ambiguous [2],[3]. The only way to demonstrate an area is truly disease-free is to conduct a complete census, which is almost always impractical.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it is not possible to formally infer absence, unless the whole population has been tested. Alternatively, managers might choose to declare pathogen-or disease-free populations when the estimated prevalence falls, with a given confidence, under a selected threshold (Dufour et al 2001). Research in veterinary science has dealt extensively with the calculation of optimal sample sizes to estimate such freedom from disease (DiGiacomo and Koepsell 1986, Martin et al 1992, Cameron and Baldock 1998, and the adoption of Bayesian methods has allowed incorporation of prior beliefs about prevalence (Johnson et al 2004).…”
Section: Discussionmentioning
confidence: 99%
“…In addition, the assumption of perfect specificity has an important consequence: if a positive test result is returned by a system having 100% specificity, freedom from infection can no longer be claimed, as all positive results are true. Each surveillance system should be seen to encompass all necessary follow-up testing to resolve potential false positive results (Cannon, 2001;Dufour et al, 2001;Martin et al, 2007).…”
Section: Sample Size Calculationmentioning
confidence: 99%