Herd-level risk factors for bovine tuberculosis in French cattle herds

2016 ◽  
Vol 131 ◽  
pp. 31-40 ◽  
Author(s):  
Maud Marsot ◽  
Marina Béral ◽  
Axelle Scoizec ◽  
Yoann Mathevon ◽  
Benoit Durand ◽  
...  
Keyword(s):  
Risk Factors ◽  
Bovine Tuberculosis ◽  
Herd Level ◽  
Cattle Herds

scholarly journals Herd-Level Risk Factors for Bovine Tuberculosis: A Literature Review

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Robin A. Skuce ◽  
Adrian R. Allen ◽  
Stanley W. J. McDowell
Keyword(s):  
Risk Factors ◽  
Bovine Tuberculosis ◽  
Management Practices ◽  
Scientific Evidence ◽  
Epidemiological Studies ◽  
Herd Size ◽  
Herd Level ◽  
Endemic Diseases ◽  
Veterinary Profession ◽  
Cattle Herds

Bovine tuberculosis (TB), caused byMycobacterium bovis, is one of the most challenging endemic diseases currently facing government, the veterinary profession, and the farming industry in the United Kingdom and Ireland and in several other countries. The disease has a notoriously complex epidemiology; the scientific evidence supports both cattle-cattle and wildlife-cattle transmission routes. To produce more effective ways of reducing such transmission, it is important to understand those risk factors which influence the presence or absence of bovine TB in cattle herds. Here we review the literature on herd-level risk factor studies. Whilst risk factors operate at different scales and may vary across regions, epidemiological studies have identified a number of risk factors associated with bovine TB herd breakdowns, including the purchase of cattle, the occurrence of bovine TB in contiguous herds, and/or the surrounding area as well as herd size. Other factors identified in some studies include farm and herd management practices, such as, the spreading of slurry, the use of certain housing types, farms having multiple premises, and the use of silage clamps. In general, the most consistently identified risk factors are biologically plausible and consistent with known transmission routes involving cattle-cattle and wildlife-cattle pathways.

scholarly journals Prevalence and herd-level risk factors of bovine tuberculosis in the State of Goiás, Brazil

2016 ◽  
Vol 37 (5Supl2) ◽  
pp. 3625 ◽  
Author(s):  
Willian Vilela Rocha ◽  
Valéria De Sá Jayme ◽  
Ana Lourdes Arrais de Alencar Mota ◽  
Wilia Marta Elsner Diederichsen de Brito ◽  
Glauciane Ribeiro de Castro Pires ◽  
...  
Keyword(s):  
Risk Factors ◽  
Bovine Tuberculosis ◽  
Protective Factor ◽  
Management Practices ◽  
Multiple Logistic Regression Analysis ◽  
Livestock Production ◽  
The State ◽  
Economic Losses ◽  
Strong Concentration ◽  
Herd Level

Bovine tuberculosis results in economic losses in livestock production and poses a risk to public health. This study aimed to characterize the epidemiological status of bovine tuberculosis in adult cows in the state of Goiás, Brazil. The state was divided into three sampling strata, corresponding to different livestock production circuits. A total of 18,659 animals were tested with the comparative cervical tuberculin test (CCT), in 300 randomly sampled bovine herds per stratum. An epidemiological questionnaire was used to identify health and management practices that may be associated with the presence of tuberculosis infection in the herd. In Stratum 1, dominated by beef cattle, no animals reacted to the CCT. In Stratum 2, which covers the main dairy regions of the state, the prevalence was estimated at 8.67% [5.73 to 12.74%] for herds and at 0.9% [0.21 to 1.58%] for animals. In Stratum 3, characterized by a mix of dairy, beef and dual-purpose herds, the prevalence was estimated at 1.00% [0.21 to 2.89] for herds and 0.30% [0.10 to 0.49 %] for animals. The overall prevalence in the state of Goiás was 3.43% [2.20 to 4.67%] for herds and 0.30% [0.10 to 0.49%] for animals. The multiple logistic regression analysis revealed that herd-level risk factors associated with the presence of the bovine tuberculosis are: the location of the herd in Stratum 2 (OR = 12.05 [3.52 to 41.28]) and the number of times a cow is milked per day (OR = 6.27 [2.72 to 14.44]). Regular veterinary care was identified as a protective factor (OR = 0.38 [0.15-0.94]). These results indicate that bovine tuberculosis is endemic in the state; its spatial distribution is heterogeneous with a strong concentration in dairy regions. The most intensive dairy farms are those with the highest risk, which is consistent with what other authors’ found elsewhere in Brazil. The epidemiological information generated by this study provides information for planning of risk-based surveillance actions, and justifies the adoption of free-herd certification programs for bovine tuberculosis in the main dairy regions of Goiás.

scholarly journals Bovine tuberculosis and its risk factors among dairy cattle herds in and around Bahir Dar City, Northwest Ethiopia

2015 ◽  
Vol 19 (2) ◽  
pp. 27 ◽  
Author(s):  
Anwar Nuru ◽  
Gezahegne Mamo ◽  
Leakemariam Teshome ◽  
Aboma Zewdie ◽  
Girmay Medhin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Dairy Cattle ◽  
Bovine Tuberculosis ◽  
Northwest Ethiopia ◽  
Bahir Dar ◽  
Cattle Herds

scholarly journals Herd-level bovine tuberculosis risk factors: assessing the role of low-level badger population disturbance

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
David M. Wright ◽  
Neil Reid ◽  
W. Ian Montgomery ◽  
Adrian R. Allen ◽  
Robin A. Skuce ◽  
...  
Keyword(s):  
Risk Factors ◽  
Bovine Tuberculosis ◽  
Herd Level ◽  
Low Level ◽  
Tuberculosis Risk

Bayesian estimation of herd-level prevalence and risk factors associated with BoHV-1 infection in cattle herds in the State of Paraíba, Brazil

2019 ◽  
Vol 169 ◽  
pp. 104705 ◽  
Author(s):  
Leíse Gomes Fernandes ◽  
Matthew James Denwood ◽  
Carolina de Sousa Américo Batista Santos ◽  
Clebert José Alves ◽  
Edviges Maristela Pituco ◽  
...  
Keyword(s):  
Risk Factors ◽  
Bayesian Estimation ◽  
The State ◽  
Herd Level ◽  
Factors Associated ◽  
Cattle Herds

scholarly journals Risk factors for herd breakdown with bovine tuberculosis in 148 cattle herds in the south west of England

2010 ◽  
Vol 95 (3-4) ◽  
pp. 224-230 ◽  
Author(s):  
A.M. Ramírez-Villaescusa ◽  
G.F. Medley ◽  
S. Mason ◽  
L.E. Green
Keyword(s):  
Risk Factors ◽  
Bovine Tuberculosis ◽  
The South ◽  
South West ◽  
Cattle Herds

scholarly journals Risk factors and true prevalence of bovine tuberculosis in Bangladesh

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247838
Author(s):  
Md. Nazimul Islam ◽  
Mohammad Kamruzzaman Khan ◽  
Mohammad Ferdousur Rahman Khan ◽  
Polychronis Kostoulas ◽  
A. K. M. Anisur Rahman ◽  
...  
Keyword(s):  
Risk Factors ◽  
Bovine Tuberculosis ◽  
Critical Threshold ◽  
Bayesian Hierarchical ◽  
Herd Level ◽  
Control Programs ◽  
True Prevalence ◽  
Apparent Prevalence ◽  
Risk Factor Data ◽  
Factor Data

Bovine tuberculosis (bTb) is endemic in Bangladesh but the true prevalence has not yet been reported. Our objectives for this study were to determine the true prevalence and identify risk factors for bTb at the animal- and herd-level in Bangladesh. A total of 510 cows were randomly selected during January 2018 to December 2018. Caudal fold (CFT) and comparative cervical tuberculin tests (CCT) were serially interpreted. Animal- and herd-level risk factor data were collected using a pre-tested questionnaire. The hierarchical true prevalence of bTb was estimated within a Bayesian framework. The herd- and animal-level risk factors were identified using mixed effects logistic regression. The apparent prevalence of bTb was 20.6% [95% Confidence Interval (CI): 17.3; 24.3] based on CFT. The animal-level true prevalence of bTb was 21.9 (13.0; 32.4). The herd-level true prevalence in different regions varied from 41.9% to 88.8%. The region-level true prevalence was 49.9 (13.8; 91.2). There is a 100% certainty that herds from Bhaluka and Mymensingh Sadar upazilas are not free from bTb. The odds of bTb were 3.9 times (1.2; 12.6) higher in herds having more than four cows than those with ≤ 4 cows. On the other hand, the risk of bTb was 3.3 times higher (1.0; 10.5) in non-grazing cows than grazing cows. Crossbred cows were 2.9 times (1.5; 5.9) more likely to be infected with bTb than indigenous cows. The risk of bTb in animals with cough was 2.3 times (1.2; 4.3) higher than those without cough. Crossbred, non-grazing cows with cough should be targeted for bTb surveillance. Herds of the Mymensingh, Sadar and Bhaluka regions should be emphasized for bTb control programs. Estimation of Bayesian hierarchical true prevalence facilitates identification of areas with higher prevalence and can be used to indicate regions that where true prevalence exceeds a pre-specified critical threshold.

Farm-scale risk factors for bovine tuberculosis incidence in cattle herds during the Randomized Badger Culling Trial

2011 ◽  
Vol 140 (2) ◽  
pp. 219-230 ◽  
Author(s):  
A. C. MILL ◽  
S. P. RUSHTON ◽  
M. D. F. SHIRLEY ◽  
A. W. A. MURRAY ◽  
G. C. SMITH ◽  
...  
Keyword(s):  
Risk Factors ◽  
Bovine Tuberculosis ◽  
Structural Equation ◽  
Event History Analysis ◽  
Individual Risk ◽  
Treatment Area ◽  
Management Actions ◽  
Badger Culling ◽  
Cattle Herds ◽  
The Individual

SUMMARYWe analysed the incidence of cattle herd breakdowns due to bovine tuberculosis (Mycobacterium bovis) in relation to experimental badger culling, badger populations and farm characteristics during the Randomized Badger Culling Trial (RBCT). Mixed modelling and event history analysis were used to examine the individual risk factors. The interdependencies of covariates were examined using structural equation modelling. There were consistent findings among the different analyses demonstrating that during a badger culling programme farms experiencing: reactive culling, larger herd sizes, larger holdings and holdings with multiple parcels of land were all at greater risk of a herd breakdown. Proactive culling reduced risks within the culling area, but we did not assess any potential effects in the periphery of the treatment area. Badger-related variables measured prior to the start of culling (number of social groups and length of badger territorial boundaries) did not consistently point to an increase in risk, when set against a background of ongoing badger culling. This could be because (1) the collected variables were not important to risk in cattle, or (2) there were insufficient data to demonstrate their importance. Our findings highlight the difficulty in identifying simple predictors of spatial variation in transmission risks from badger populations and the consequent challenge of tailoring management actions to any such field data.

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