Literature DB >> 25037848

Estimation of the probability of freedom from bovine virus diarrhoea virus in Norway using scenario tree modelling.

Madelaine Norström1, Malin E Jonsson2, Johan Åkerstedt3, Anne Cathrine Whist4, Anja Bråthen Kristoffersen5, Ståle Sviland6, Petter Hopp7, Helene Wahlström8.   

Abstract

Disease caused by Bovine virus diarrhoea virus (BVDV) is notifiable in Norway. An eradication programme started in 1992. The number of herds with restrictions decreased from 2950 in 1994 to zero at the end of 2006. From 2007, the aim of the programme has been surveillance in order to document freedom from the infection. To estimate the probability of freedom from BVDV infection in the Norwegian cattle population by the end of 2011, a scenario tree model of the surveillance program during the years 2007-2011 was used. Three surveillance system components (SSCs) were included in the model: dairy, beef suckler sampled at farms (2007-2010) and beef suckler sampled at slaughterhouses (2011). The design prevalence was set to 0.2% at herd level and to 30% at within-herd level for the whole cattle population. The median probability of freedom from BVDV in Norway at the end of 2011 was 0.996; (0.995-0.997, credibility interval). The results from the scenario tree model support that the Norwegian cattle population is free from BVDV. The highest estimate of the annual sensitivity for the beef suckling SSCs originated from the surveillance at the slaughterhouses in 2011. The change to sampling at the slaughterhouse level further increased the sensitivity of the surveillance.
Copyright © 2014 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bovine virus diarrhoea; Cattle; Freedom from disease; Norway; Scenario tree model; Surveillance

Mesh:

Year:  2014        PMID: 25037848     DOI: 10.1016/j.prevetmed.2014.06.012

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  3 in total

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Journal:  J Vet Diagn Invest       Date:  2019-02-08       Impact factor: 1.279

Review 2.  Use of Genomic Tools to Improve Cattle Health in the Context of Infectious Diseases.

Authors:  Mikolaj M Raszek; Le L Guan; Graham S Plastow
Journal:  Front Genet       Date:  2016-03-07       Impact factor: 4.599

3.  Evaluation of control measures for bovine viral diarrhea implemented in Nemuro District, Hokkaido, Japan, using a scenario tree model.

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Journal:  J Vet Med Sci       Date:  2017-05-25       Impact factor: 1.267

  3 in total

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