Prevalence of bovine tuberculosis in pastoral cattle herds in the Oromia region, southern Ethiopia

2011 ◽  
Vol 43 (6) ◽  
pp. 1081-1087 ◽  
Author(s):  
Balako Gumi ◽  
Esther Schelling ◽  
Rebuma Firdessa ◽  
Abraham Aseffa ◽  
Rea Tschopp ◽  
...  
1997 ◽  
Vol 32 (1-2) ◽  
pp. 57-75 ◽  
Author(s):  
N.D. Barlow ◽  
J.M. Kean ◽  
G. Hickling ◽  
P.G. Livingstone ◽  
A.B. Robson

2021 ◽  
Vol 9 (5) ◽  
pp. 1004
Author(s):  
Andrew W. Byrne ◽  
Damien Barrett ◽  
Philip Breslin ◽  
Jamie M. Madden ◽  
James O’Keeffe ◽  
...  

Bovine tuberculosis (bTB) remains a significant endemic pathogen of cattle herds, despite multi-decadal control programmes being in place in several countries. Understanding the risks of future bTB breakdown (BD) and the associated characteristics of herds and index breakdowns could help inform risk categorisation. Such risk categories could then contribute to tailored management and policies. Here, we estimated the future risk of herd BD for the cohort of herds that were derestricted during 2013 in Ireland using multivariable logit regression models, with a dominance analysis approach. One third of herds that were derestricted in 2013 experienced a breakdown during the follow-up five year period (1469/4459; 33%). BD length was a significant predictor of future risk, primarily driven by long BDs > 230 days relative to short BDs < 130 days (OR 95%CI: 1.157–1.851), as was having had a previous BD (OR 95%CI: 1.012–1.366). Herd-size was the dominant predictor of future risk (accounted for 46% of predicted variance), suggesting significant increase in risk of future breakdown with increasing (log) herd-size (OR 95%CI: 1.378–1.609). There was significant spatial variation in future risk across counties, and it was the second most dominant predictor of future risk (25% of predicted variance). The size of index breakdowns was not a strong predictor of future risk over a 5-year period. These findings can inform a risk-based policy development.


2014 ◽  
Vol 8 (33) ◽  
pp. 3112-3117 ◽  
Author(s):  
Nemomsa Biratu ◽  
Gebrezgabiher Gebremedhin ◽  
Birhanu Tadesse ◽  
Tadelle Habtamu ◽  
Tadesse Gebrehiwot ◽  
...  

2015 ◽  
Vol 19 (2) ◽  
pp. 27 ◽  
Author(s):  
Anwar Nuru ◽  
Gezahegne Mamo ◽  
Leakemariam Teshome ◽  
Aboma Zewdie ◽  
Girmay Medhin ◽  
...  

2019 ◽  
Vol 6 (1) ◽  
pp. e000335 ◽  
Author(s):  
Anne Praud ◽  
Clémence Bourély ◽  
Maria-Laura Boschiroli ◽  
Barbara Dufour

In cattle herds in France, cervical skin tests (STs) using simple intradermal tuberculin (SIT) are performed to detect bovine tuberculosis (bTB). When positive results are found on ST screening, the herd is considered to be ‘under suspicion’ and confined, raising economic issues. The suspicion can be lifted by carrying out a single intradermal cervical comparative test (SICCT) at least six weeks later.The authors conducted an experimental study in France between 2013 and 2015 to assess the accuracy of the gamma-interferon test (IFN-γ), used in series after a non-negative result to ST screening, and to study the possibility of replacing the SICCT performed six weeks later by an IFN performed within a few days. Data were collected concerning 40 infected and 1825 bTB-free animals from herds with non-negative results to ST screening. This study showed that the IFN-γ test based on specific antigens and performed within a few days of a non-negative result to the ST has higher sensitivity than the SICCT performed six weeks later and equal specificity. The IFN test is more convenient to perform; however, it is more expensive. The IFN-γ test based on MIX antigens may be a useful alternative to the SICCT, to shorten the confinement period of suspect herds without underdetecting bTB.


2016 ◽  
Vol 131 ◽  
pp. 31-40 ◽  
Author(s):  
Maud Marsot ◽  
Marina Béral ◽  
Axelle Scoizec ◽  
Yoann Mathevon ◽  
Benoit Durand ◽  
...  

1997 ◽  
Vol 264 (1384) ◽  
pp. 1069-1076 ◽  
Author(s):  
R. R. Kao ◽  
M. G. Roberts ◽  
T. J. Ryan

2013 ◽  
Vol 111 (1-2) ◽  
pp. 31-41 ◽  
Author(s):  
Camille Szmaragd ◽  
Laura E. Green ◽  
Graham F. Medley ◽  
William J. Browne

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