scholarly journals Models of Contagious Bovine Pleuropneumonia: Evaluation of Two Novel Strains

2013 ◽  
Vol 7 (1) ◽  
pp. 23-33 ◽  
Author(s):  
Tamara Gull
2021 ◽  
pp. 317-326
Author(s):  
François Thiaucourt ◽  
Nick D. Nwankpa ◽  
William Amanfu

Author(s):  
A.M. Phiri

From a total of 32 717 cattle slaughtered, 183 whole carcass condemnations were attributable to 9 diseases and conditions, namely, tuberculosis (TB), cysticercosis, emaciation, generalised lymphadenitis, jaundice, abscesses, moribund, sarcosporidiosis and odour. Bovine TB was the most important cause of condemnations (152 / 183, 83.1 %). Bovine cysticercosis and sarcosporidiosis accounted for 5 / 183 (2.7 %) and 8 / 183 (4.4 %), respectively, while each of the remaining conditions contributed less. Among the many conditions responsible for offal / organ condemnations were fascioliasis, contagious bovine pleuropneumonia, hydatidosis and TB. In terms of number and weight, Fasciola gigantica infections made livers and lungs the most condemned offals (20.1 % and 0.7 %, respectively). Hydatidosis was the cause of 0.9%lung and 0.1%liver losses. Cysticercus bovis contributed to only 0.05%of all inspected tongues, hearts, and heads.TB was very rare in heads (0.01 %). The financial impact of whole carcasses and offals condemned during the study period was enormous and deprived livestock farmers of the much needed revenue and consumers of protein sources. Much or all of the condemned material that could have been useful was wasted by not being retrieved for conversion to processed meat, bone meal or pet food. Failure to detect lesions of potential zoonotic diseases at slaughter poses a health risk to consumers especially when meat is eaten undercooked.


2014 ◽  
Vol 46 (2) ◽  
pp. 485-485
Author(s):  
Geoffrey Munkombwe Muuka ◽  
Webster Chikampa ◽  
Cornelius Mundia ◽  
Domenico Buonavoglia ◽  
Atilio Pini ◽  
...  

2018 ◽  
Vol 5 (1) ◽  
pp. e000273 ◽  
Author(s):  
Susanna Sternberg Lewerin ◽  
Cecilia Wolff ◽  
Charles Masembe ◽  
Karl Ståhl ◽  
Sofia Boqvist ◽  
...  

Animal production is important for the agricultural economy in low-income countries, but is threatened by infectious diseases. Serosurveys are conducted for different reasons such as disease detection, risk factor studies, disease monitoring and establishing disease-free status. Most reports on such serosurveys include some discussion about methodological constraints but still, by necessity, rely on serological results for case definition. This study uses a cross-sectional serosurvey for foot-and-mouth disease (FMD), Rift Valley fever (RVF) and contagious bovine pleuropneumonia (CBPP) in cattle in three districts in Western Uganda to illustrate the limitations of this approach, addressing the questions of what flaws can be expected in sampling and diagnostics and how these influence the results. The target was to collect blood samples from 60 cattle herds per district. To reflect the recent infection history of the herd, young animals (two to five years) were prioritised. The farmers were interviewed about management, cattle trade, cattle health and vaccination. Commercial ELISAs were used for serological analyses: for CBPP the IDEXX CBPP Mycoplasma mycoides subspecies mycoides antibody test kit, for RVF the ID Screen Rift Valley Fever competitive ELISA, and for FMD the PrioCHECK FMDV NS. Apparent prevalence, true prevalence and associations with herd characteristics were assessed. The sampling plans could not be entirely fulfilled, nor the number of tests run in the laboratory. There were reactors to all three diseases with an apparent prevalence of approximately 30 per cent for CBPP, 6 per cent for RVF and 7 per cent for FMD. Calculation of true prevalence based on test sensitivity and specificity resulted in a slightly higher prevalence figure for CBPP and lower figures for RVF and FMD. The study illustrates the importance of considering diagnostic test performance when interpreting results from serosurveys, and the challenge of representative sampling and laboratory work in low-income countries.


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