The University of Southampton
University of Southampton Institutional Repository

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), pp. 253-266. (doi:10.1016/j.prevetmed.2008.02.003).

Record type: Article


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.

Full text not available from this repository.

More information

Published date: 15 July 2008
Organisations: Statistical Sciences Research Institute


Local EPrints ID: 210477
ISSN: 0167-5877
PURE UUID: eea70f2e-93c5-4d81-8554-948d09df42d1

Catalogue record

Date deposited: 09 Feb 2012 13:53
Last modified: 18 Jul 2017 10:45

Export record



Author: Victor Javier Del Rio Vilas

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.