Application of one-list capture–recapture models to scrapie surveillance data in Great Britain

Del Rio Vilas, Victor Javier and Böhning, Dankmar (2008) Application of one-list capture–recapture models to scrapie surveillance data in Great Britain. Preventive Veterinary Medicine, 85, (3-4), 253-266. (doi:10.1016/j.prevetmed.2008.02.003).


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In this paper, we apply one-list capture–recapture models to estimate the number of scrapie-affected holdings in Great Britain. We applied this technique to the Compulsory Scrapie Flocks Scheme dataset where cases from all the surveillance sources monitoring the presence of scrapie in Great Britain, the abattoir survey, the fallen stock survey and the statutory reporting of clinical cases, are gathered. Consequently, the estimates of prevalence obtained from this scheme should be comprehensive and cover all the different presentations of the disease captured individually by the surveillance sources. Two estimators were applied under the one-list approach: the Zelterman estimator and Chao's lower bound estimator. Our results could only inform with confidence the scrapie-affected holding population with clinical disease; this moved around the figure of 350 holdings in Great Britain for the period under study, April 2005–April 2006. Our models allowed the stratification by surveillance source and the input of covariate information, holding size and country of origin. None of the covariates appear to inform the model significantly.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1016/j.prevetmed.2008.02.003
ISSNs: 0167-5877 (print)
Related URLs:
Subjects: H Social Sciences > HA Statistics
Divisions : Faculty of Social and Human Sciences > Southampton Statistical Sciences Research Institute
ePrint ID: 210477
Accepted Date and Publication Date:
15 July 2008Published
Date Deposited: 09 Feb 2012 13:53
Last Modified: 31 Mar 2016 13:49

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