Literature DB >> 8111615

Morbidity and mortality in a large Irish feedlot; microbiological and serological findings in cattle with acute respiratory disease.

A M Healy1, M L Monaghan, H F Bassett, H M Gunn, B K Markey, J D Collins.   

Abstract

A survey of morbidity and mortality was undertaken in a slatted unit containing 6399 beef cattle over a 6 month period. The mortality rate was 0.78% and the morbidity rate was 12.7%. The interval from arrival to morbidity was 25.5 days +/- 0.9. Significantly more sick cattle were identified on either Mondays or Tuesdays than were seen on Saturdays or Sundays (P < 0.005). The mean interval to mortality (all diseases) was 48.5 days +/- 7.4. Respiratory disease was the most frequently recorded disease and was responsible for 62% of morbidity and 58% of mortality. Samples from 133 cattle, taken as they presented with acute onset respiratory disease, contained antibodies to Bovine Herpes Virus -1(BHV-1) (14.3%), Bovine Viral Diarrhoea Virus (BVDV) (78%), Bovine Respiratory Syncytial Virus (BRSV) (94%) and Parainfluenza type 1 Virus (P13V) (99%). When the same cattle were resampled 4 to 6 weeks later antibodies were found for BHV-1 (93.2%), BVDV (99.2%), BRSV (100%) and P13V (100%). Eleven of 27 bronchoalveolar lavage samples taken from the above group of cattle exhibited positive fluorescence for BHV-1 but all 27 samples were negative for BVDV, BRSV and P13V. Pasteurella multocida was isolated from eight of the 27 lavage samples and Pasteurella haemolytica from one sample.

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Year:  1993        PMID: 8111615     DOI: 10.1016/s0007-1935(05)80039-9

Source DB:  PubMed          Journal:  Br Vet J        ISSN: 0007-1935


  2 in total

1.  Linking disease epidemiology and livestock productivity: The case of bovine respiratory disease in France.

Authors:  Alexis Delabouglise; Andrew James; Jean-François Valarcher; Sara Hagglünd; Didier Raboisson; Jonathan Rushton
Journal:  PLoS One       Date:  2017-12-05       Impact factor: 3.240

2.  Early recognition of bovine respiratory disease in calves using automated continuous monitoring of cough sounds.

Authors:  Joris Vandermeulen; Claudia Bahr; Dayle Johnston; Bernadette Earley; Emanuela Tullo; Ilaria Fontana; Marcella Guarino; Vasileios Exadaktylos; Daniel Berckmans
Journal:  Comput Electron Agric       Date:  2016-09-22       Impact factor: 5.565

  2 in total

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