scholarly journals Localized reactive badger culling increases risk of bovine tuberculosis in nearby cattle herds

2011 ◽  
Vol 8 (1) ◽  
pp. 50-53 ◽  
Author(s):  
Flavie Vial ◽  
Christl A. Donnelly

Human and livestock diseases can be difficult to control where infection persists in wildlife populations. Control of bovine tuberculosis (bTB) in British cattle is complicated by the maintenance of Mycobacterium bovis (the causative agent of bTB) in badgers, acting as reservoirs of infection. Although over 20 000 badgers were culled to control bTB between 1975 and 1997, the incidence of bTB in cattle has substantially increased in parts of Great Britain in recent decades. Our case-control study, involving 1208 cattle herds, provides further evidence of the detrimental effect of localized reactive badger culling in response to the disclosure of a confirmed bTB herd breakdown in cattle. The presence of any reactive badger culling activity and increased numbers of badgers culled in the vicinity of a herd were associated with significantly increased bTB risk, even after adjusting for other important local risk factors. Such findings may partly explain why some earlier localized approaches to bTB control were ineffective.

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Tawatchai Singhla ◽  
Sukolrat Boonyayatra ◽  
Veerasak Punyapornwithaya ◽  
Kimberly L. VanderWaal ◽  
Julio Alvarez ◽  
...  

The objective of this case-control study was to identify farm-level risk factors associated with bovine tuberculosis (bTB) in dairy cows in northern Thailand. Spatial analysis was performed to identify geographical clustering of case-farms located in Chiang Mai and Chiang Rai provinces in northern Thailand. To identify management factors affecting bTB status, a matched case-control study was conducted with 20 case-farms and 38 control-farms. Case-farms were dairy farms with at least single intradermal tuberculin test- (SIT-) reactor(s) in the farms during 2011 to 2015. Control-farms were dairy farms with no SIT-reactors in the same period and located within 5 km from case-farms. Questionnaires were administered for data collection with questions based on epidemiological plausibility and characteristics of the local livestock industry. Data were analyzed using multiple logistic regressions. A significant geographic cluster was identified only in Chiang Mai province (p<0.05). The risk factor associated with presence of SIT-reactors in dairy herds located in this region was purchasing dairy cows from dealers (OR = 5.85, 95% CI = 1.66–20.58, and p=0.006). From this study, it was concluded that geographic clustering was identified for dairy farms with SIT-reactors in these provinces, and the cattle movements through cattle dealers increased the risks for SIT-reactor farm status.


Author(s):  
Sneha Kumar Jayaswal ◽  
Shalendra Singh ◽  
Prabhat Singh Malik ◽  
Sri Krishna Venigalla ◽  
Pallavi Gupta ◽  
...  

1998 ◽  
Vol 34 (2-3) ◽  
pp. 87-95 ◽  
Author(s):  
Stefano Marangon ◽  
Marco Martini ◽  
Manuela Dalla Pozza ◽  
Josè Ferreira Neto

2015 ◽  
Vol 11 (11) ◽  
pp. 20150536 ◽  
Author(s):  
B. Winkler ◽  
F. Mathews

Our research shows that environmental features are important predictors of bovine tuberculosis (bTB) in British cattle herds in high-prevalence regions. Data from 503 case and 808 control farms included in the randomized badger culling trial (RBCT) were analysed. bTB risk increased in larger herds and on farms with greater areas of maize, deciduous woodland and marsh, whereas a higher percentage of boundaries composed of hedgerows decreased the risk. The model was tested on another case–control study outside RBCT areas, and here it had a much smaller predictive power. This suggests that different infection dynamics operate outside high-risk areas, although it is possible that unknown confounding factors may also have played a role.


2020 ◽  
Vol 72 (2) ◽  
Author(s):  
Lucia Riganelli ◽  
Lucia Merlino ◽  
Cesare Aragona ◽  
Oriana Capri ◽  
Silvia Franceschetti ◽  
...  

1996 ◽  
Vol 27 (1-2) ◽  
pp. 75-87 ◽  
Author(s):  
John M. Griffin ◽  
S.Wayne Martin ◽  
Meg A. Thorburn ◽  
John A. Eves ◽  
Robert F. Hammond

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