Literature DB >> 22878124

Serological and virological BVDV prevalence and risk factor analysis for herds to be BVDV seropositive in Belgian cattle herds.

Steven Sarrazin1, Anouk Veldhuis, Estelle Méroc, Ilse Vangeel, Jozef Laureyns, Jeroen Dewulf, Ann Brigitte Caij, Sofie Piepers, Jozef Hooyberghs, Stefaan Ribbens, Yves Van Der Stede.   

Abstract

Bovine viral diarrhoea virus (BVDV) is a worldwide spread virus that most commonly infects cattle and can cause considerable economic losses. To determine the prevalence of BVDV in Belgium, a cross-sectional study was performed between November 2009 and March 2010. Young stock aged between 6 and 12 months from 773 randomly selected Belgian cattle herds were tested for BVDV-specific antibodies and antigen. With a target and maximum of 10 animals per sampled herd, a total of 5246 animals were selected. Additionally a questionnaire including different herd management topics and questions about participation in animal health programmes, including BVDV, was sent to 1100 Belgian cattle herds, including the 773 herds for BVDV testing. This paper focuses on results regarding these 773 herds. The true prevalence of BVDV-specific antibodies and antigen at herd level was respectively 47.4% and 4.4%, while at animal level this was respectively 32.9% and 0.3%. In 44.4% of the herds where BVDV-specific antibodies were detected at least 60% of the sampled young stock was BVDV seropositive. Interestingly, 83.4% of these farmers stated not to have suffered from problems related to BVDV. Moreover, only 8.4% of all farmers who completed the questionnaire (n=895) reported problems possibly related to BVDV the past 3 years. This demonstrates that farmers are often unaware of the presence of BVDV in their herd. Risk factors for a herd to be BVDV seropositive were identified by means of a multivariable logistic regression model. Large herds were significantly more likely to be BVDV seropositive (OR=1.004, p<0.01). The interaction between "Antigen positive animal detected in this study" and "BVDV vaccination in 2009" was significant (p<0.01). In non-vaccinating herds, the detection of antigen positive animals was significantly associated with BVDV seropositive herds (OR=13.8, p<0.01). In herds with no antigen positive animals detected, vaccination resulted in a significant risk factor to be BVDV seropositive compared to non-vaccinating herds (OR=3.4, p<0.01). Herds reporting BVDV-related problems the past 3 years were more likely to be BVDV seropositive (OR=1.9, p<0.05). This relation became non-significant (OR=1.8, p=0.08) when only a subset of herds with no vaccination of animals <12 months was taken into account. The results of the current study suggest an active circulation of BVDV in a considerable number of Belgian cattle herds.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22878124     DOI: 10.1016/j.prevetmed.2012.07.005

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


  18 in total

1.  Herd-level risk factors for bovine viral diarrhea infection in cattle of Tamil Nadu.

Authors:  Subbiah Krishna Kumar; K M Palanivel; K Sukumar; B Samuel Masilamoni Ronald; G Selvaraju; G Ponnudurai
Journal:  Trop Anim Health Prod       Date:  2018-01-04       Impact factor: 1.559

2.  Bovine viral diarrhea virus (BVDV) infection in dairy cattle herds in northeast Thailand.

Authors:  Theerakul Nilnont; Suneerat Aiumlamai; Kwankate Kanistanont; Chaidate Inchaisri; Jaruwan Kampa
Journal:  Trop Anim Health Prod       Date:  2016-05-06       Impact factor: 1.559

3.  Seroprevalence and risk factors of bovine viral diarrhoea virus (BVDV) infection in yaks (Bos grunniens) in northwest China.

Authors:  Jian-Gang Ma; Wei Cong; Fu-Heng Zhang; Sheng-Yong Feng; Dong-Hui Zhou; Yi-Ming Wang; Xing-Quan Zhu; Hong Yin; Gui-Xue Hu
Journal:  Trop Anim Health Prod       Date:  2016-08-10       Impact factor: 1.559

4.  Herd-level prevalence and associated risk factors for Toxoplasma gondii, Neospora caninum, Chlamydia abortus and bovine viral diarrhoea virus in commercial dairy and beef cattle in eastern, northern and northeastern China.

Authors:  Wu-Wen Sun; Qing-Feng Meng; Wei Cong; Xiao-Feng Shan; Chun-Feng Wang; Ai-Dong Qian
Journal:  Parasitol Res       Date:  2015-08-02       Impact factor: 2.289

5.  Effect of calf age on bovine viral diarrhea virus tests.

Authors:  Scott McDougall
Journal:  J Vet Diagn Invest       Date:  2021-03-05       Impact factor: 1.279

6.  What variables are important in predicting bovine viral diarrhea virus? A random forest approach.

Authors:  Gustavo Machado; Mariana Recamonde Mendoza; Luis Gustavo Corbellini
Journal:  Vet Res       Date:  2015-07-24       Impact factor: 3.683

7.  Modelling the spread of bovine viral diarrhea virus (BVDV) in a beef cattle herd and its impact on herd productivity.

Authors:  Alix Damman; Anne-France Viet; Sandie Arnoux; Marie-Claude Guerrier-Chatellet; Etienne Petit; Pauline Ezanno
Journal:  Vet Res       Date:  2015-02-24       Impact factor: 3.683

8.  First Results in the Use of Bovine Ear Notch Tag for Bovine Viral Diarrhoea Virus Detection and Genetic Analysis.

Authors:  Christian Quinet; Guy Czaplicki; Elise Dion; Fabiana Dal Pozzo; Anke Kurz; Claude Saegerman
Journal:  PLoS One       Date:  2016-10-20       Impact factor: 3.240

9.  Serologic screening for 13 infectious agents in roe deer (Capreolus capreolus) in Flanders.

Authors:  Paul Tavernier; Stanislas U Sys; Kris De Clercq; Ilse De Leeuw; Anne Brigitte Caij; Miet De Baere; Nick De Regge; David Fretin; Virginie Roupie; Marc Govaerts; Paul Heyman; Daisy Vanrompay; Lizi Yin; Isabelle Kalmar; Vanessa Suin; Bernard Brochier; Alexandre Dobly; Stéphane De Craeye; Sophie Roelandt; Els Goossens; Stefan Roels
Journal:  Infect Ecol Epidemiol       Date:  2015-11-24

10.  A meta-analysis of bovine viral diarrhoea virus (BVDV) prevalences in the global cattle population.

Authors:  Bettina Scharnböck; Franz-Ferdinand Roch; Veronika Richter; Carsten Funke; Clair L Firth; Walter Obritzhauser; Walter Baumgartner; Annemarie Käsbohrer; Beate Pinior
Journal:  Sci Rep       Date:  2018-09-26       Impact factor: 4.379

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