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Management interventions in dairy herds: exploring within herd uncertainty using an integrated Bayesian model

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Green, M. J., Medley, Graham, Bradley, Andrew J. and Browne, W. J.. (2010) Management interventions in dairy herds: exploring within herd uncertainty using an integrated Bayesian model. Veterinary Research, Vol.41 (No.2). 10 pages. ISSN 0928-4249

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Official URL: http://dx.doi.org/10.1051/vetres/2009070

Abstract

Knowledge of the efficacy of an intervention for disease control on an individual farm is essential to make good decisions on preventive healthcare, but the uncertainty in outcome associated with undertaking a specific control strategy has rarely been considered in veterinary medicine. The purpose of this research was to explore the uncertainty in change in disease incidence and financial benefit that could occur on different farms, when two effective farm management interventions are undertaken. Bovine mastitis was used as an example disease and the research was conducted using data from an intervention study as prior information within an integrated Bayesian simulation model. Predictions were made of the reduction in clinical mastitis within 30 days of calving on 52 farms, attributable to the application of two herd interventions previously reported as effective; rotation of dry cow pasture and differential dry cow therapy. Results indicated that there were important degrees of uncertainty in the predicted reduction in clinical mastitis for individual farms when either intervention was undertaken; the magnitude of the 95% credible intervals for reduced clinical mastitis incidence were substantial and of clinical relevance. The large uncertainty associated with the predicted reduction in clinical mastitis attributable to the interventions resulted in important variability in possible financial outcomes for each farm. The uncertainty in outcome associated with farm control measures illustrates the difficulty facing a veterinary clinician when making an on-farm decision and highlights the importance of iterative herd health procedures (continual evaluation, reassessment and adjusted interventions) to optimise health in an individual herd.

Item Type: Journal Article
Subjects: S Agriculture > SF Animal culture
Divisions: Faculty of Science > Life Sciences (2010- ) > Biological Sciences ( -2010)
Library of Congress Subject Headings (LCSH): Dairy cattle -- Diseases, Communicable diseases in animals -- Mathematical models, Uncertainty (Information theory), Bayesian statistical decision theory
Journal or Publication Title: Veterinary Research
Publisher: EDP Sciences
ISSN: 0928-4249
Date: March 2010
Volume: Vol.41
Number: No.2
Page Range: 10 pages
Identification Number: 10.1051/vetres/2009070
Status: Peer Reviewed
Access rights to Published version: Open Access
Funder: Wellcome Trust (London, England), Milk Development Council (Great Britain) (MDC)
References: [1] Barkema H.W., Schukken Y.H., Lam T.J., Beiboer M.L., Benedictus G., Brand A., Management practices associated with the incidence rate of clinical mastitis, J. Dairy Sci. (1999) 82:1643–1654. [2] Bradley A.J., Bovine mastitis: an evolving disease, Vet. J. (2002) 164:116–128. [3] Bradley A.J., Huxley J.N., Green M.J., A rational approach to dry cow therapy II–Making logical treatment decisions, In Pract. (2003) 25:12–17. [4] Brand A., Noordhuizen J.P., Schukken Y.H., Herd health and production management in dairy practice, Wageningen Pers,Wageningen, The Netherlands, 1996. [5] Chessa A.G., Dekkae R., van Vliet B., Steyerberg E.W., Habbema J.D.F., Correlations in uncertainty analysis for medical decision making: an application to heart valve replacement, Med. Decis. Making (1999) 19:276–286. [6] Esslemont R.J., Kossaibati M.A., DAISY Research Report No. 5, University of Reading, UK, 2002. [7] Goldstein H., Multilevel Statistical Models, Edward Arnold, London, 1995. [8] Green M.J., Bradley A.J., Medley G.F., Browne W.J., Cow, farm and management factors during the dry period that determine the rate of clinical mastitis after calving, J. Dairy Sci (2007) 90:3764–3776. [9] Green M.J., Leach K.A., Breen J.E., Green L.E., Bradley A.J., National intervention study of mastitis control in dairy herds in England and Wales, Vet. Rec. (2007) 160:287–293. [10] Hastie R., Dawes R.A., Rational choice in an uncertain world – The psychology of judgement and decision making, Sage Publications Inc., California, USA, 2001. [11] O’Reilly K.M., Green M.J., Peeler E.J., Fitzpatrick J.L., Green L.E., Investigation of risk factors for clinical mastitis in British dairy herds with bulk milk somatic cell counts less than 150,000 cells/ ml, Vet. Rec (2006) 158:649–653. [12] Peeler E.J., Green M.J., Fitzpatrick J.L., Morgan K.L., Green L.E., Risk factors associated with clinical mastitis in low somatic cell count British dairy herds, J. Dairy Sci. (2000) 83:2464–2472. [13] SchukkenY.H., Erb H.N., Sears P.M., Smith R.D., Ecologic study of the risk factors for environmental mastitis in cows, Am. J. Vet. Res. (1988) 49:766–769. [14] Schukken Y.H., Grommers F.J., Van de Geer D., Erb H.N., Brand A., Risk factors for clinical mastitis in herds with a low bulk milk somatic cell count. 1. Data and risk factors for all cases, J. Dairy Sci. (1990) 73:3463–3471. [15] Spiegelhalter D.J., Best N., Bayesian approaches to multiple sources of evidence and uncertainty in complex cost-effectiveness modelling, Stat. Med. (2003) 22:3687–7309. [16] Spiegelhalter D.J., Abrams K.R., Myles J.P., Bayesian approaches to clinical trials and healthcare evaluation, Statistics in practice, John Wiley and Sons, Chichester, UK, 2004, pp. 305–347. [17] Spiegelhalter D.J., Thomas A., Best N., WinBUGS Version 1.4.1, MRC Biostatistics Unit, Cambridge, UK, 2004.
URI: http://wrap.warwick.ac.uk/id/eprint/2515

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