Literature DB >> 27317326

Farm characteristics and farmer perceptions associated with bovine tuberculosis incidents in areas of emerging endemic spread.

J M Broughan1, D Maye2, P Carmody3, L A Brunton4, A Ashton4, W Wint5, N Alexander5, R Naylor6, K Ward7, A V Goodchild4, S Hinchliffe8, R D Eglin4, P Upton4, R Nicholson4, G Enticott7.   

Abstract

While much is known about the risk factors for bovine tuberculosis (bTB) in herds located in high incidence areas, the drivers of bTB spread in areas of emerging endemicity are less well established. Epidemiological analysis and intensive social research identified natural and social risk factors that may prevent or encourage the spread of disease. These were investigated using a case-control study design to survey farmers in areas defined as recently having become endemic for bTB (from or after 2006). Telephone surveys were conducted for 113 farms with a recent history of a bTB incident where their officially tuberculosis free status had been withdrawn (OTFW) (cases) and 224 controls with no history of a bTB incident, matched on location, production type and the rate of endemic bTB spread. Farmers were questioned about a range of farm management strategies, farm characteristics, herd health, wildlife and biosecurity measures with a focus on farmer attitudes and behaviours such as farmers' perception of endemicity and feelings of control, openness and social cohesion. Data generated in the telephone surveys was supplemented with existing herd-level data and analysed using conditional logistic regression. Overall, herd size (OR 1.07), purchasing an animal at a cattle market compared to purchasing outside of markets (OR 2.6), the number of contiguous bTB incidents (2.30) and the number of inconclusive reactors detected in the 2 years prior to the case incident (OR 1.95) significantly increased the odds of a bTB incident. Beef herds using a field parcel more than 3.2km away from the main farm and dairy herds reporting Johne's disease in the previous 12 months were 3.0 and 4.7 times more likely to have a recent history of a bTB incident, respectively. Beef herds reporting maize growing near, but not on, their farm were less likely to be case herds. Operating a closed farm in the two years prior to the case breakdown did not reduce the odds of a bTB incident. Farmers that had recently experienced a bTB incident were more likely to have implemented badger biosecurity in the previous year, but no more likely than control farms to have implemented cattle biosecurity. Case farmers felt significantly less likely to be influenced by government, vets or other farmers compared to those with no history of bTB. This suggests that alternative methods of engaging with farmers who have recently had a breakdown may need to be developed. Crown
Copyright © 2016. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bovine tuberculosis; Case-control study; Questionnaire; Risk factor

Mesh:

Year:  2016        PMID: 27317326     DOI: 10.1016/j.prevetmed.2016.05.007

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


  11 in total

1.  Mapping Disease Data: A Usability Test of an Internet-Based System of Disease Status Disclosure.

Authors:  Gareth Enticott; Andrew Mitchell; William Wint; Nigel Tait
Journal:  Front Vet Sci       Date:  2018-01-05

2.  Farmer and Veterinarian Attitudes towards the Bovine Tuberculosis Eradication Programme in Spain: What Is Going on in the Field?

Authors:  Giovanna Ciaravino; Patricia Ibarra; Ester Casal; Sergi Lopez; Josep Espluga; Jordi Casal; Sebastian Napp; Alberto Allepuz
Journal:  Front Vet Sci       Date:  2017-11-27

3.  Assessing the effects of the first 2 years of industry-led badger culling in England on the incidence of bovine tuberculosis in cattle in 2013-2015.

Authors:  Lucy A Brunton; Christl A Donnelly; Heather O'Connor; Alison Prosser; Stuart Ashfield; Adam Ashton; Paul Upton; Andrew Mitchell; Anthony V Goodchild; Jessica E Parry; Sara H Downs
Journal:  Ecol Evol       Date:  2017-08-04       Impact factor: 2.912

4.  Effects of trading networks on the risk of bovine tuberculosis incidents on cattle farms in Great Britain.

Authors:  Helen R Fielding; Trevelyan J McKinley; Richard J Delahay; Matthew J Silk; Robbie A McDonald
Journal:  R Soc Open Sci       Date:  2020-04-22       Impact factor: 2.963

5.  Variation in Mycobacterium bovis genetic richness suggests that inwards cattle movements are a more important source of infection in beef herds than in dairy herds.

Authors:  M G Milne; J Graham; A Allen; C McCormick; E Presho; R Skuce; A W Byrne
Journal:  BMC Microbiol       Date:  2019-07-05       Impact factor: 3.605

6.  Dairy farmers' decision-making to implement biosecurity measures: A study of psychosocial factors.

Authors:  Sebastián Moya; Francisco Tirado; Josep Espluga; Giovanna Ciaravino; Ramon Armengol; Javier Diéguez; Eduardo Yus; Bibiana Benavides; Jordi Casal; Alberto Allepuz
Journal:  Transbound Emerg Dis       Date:  2019-11-02       Impact factor: 5.005

Review 7.  A review of risk factors for bovine tuberculosis infection in cattle in the UK and Ireland.

Authors:  J M Broughan; J Judge; E Ely; R J Delahay; G Wilson; R S Clifton-Hadley; A V Goodchild; H Bishop; J E Parry; S H Downs
Journal:  Epidemiol Infect       Date:  2016-07-25       Impact factor: 4.434

8.  Farmers' Decision Making on Livestock Trading Practices: Cowshed Culture and Behavioral Triggers Amongst New Zealand Dairy Farmers.

Authors:  Arata Hidano; M Carolyn Gates; Gareth Enticott
Journal:  Front Vet Sci       Date:  2019-09-20

Review 9.  Characterization of potential superspreader farms for bovine tuberculosis: A review.

Authors:  Helen R Fielding; Trevelyan J McKinley; Richard J Delahay; Matthew J Silk; Robbie A McDonald
Journal:  Vet Med Sci       Date:  2020-09-16

10.  Investigating Farm Fragmentation as a Risk Factor for Bovine Tuberculosis in Cattle Herds: A Matched Case-Control Study from Northern Ireland.

Authors:  Georgina Milne; Jordon Graham; John McGrath; Raymond Kirke; Wilma McMaster; Andrew William Byrne
Journal:  Pathogens       Date:  2022-02-26
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