Risk factors for bovine respiratory disease in dairy youngstock in The Netherlands: the perception of experts.

Abstract This paper describes a study aimed at quantification of expert opinion on risk factors for clinical bovine respiratory disease (BRD) in dairy youngstock in The Netherlands. For this purpose, a panel of 21 experts working in the field of BRD was selected. Total expert consultation consisted of five different rounds and included four rounds that comprised questionnaires held by mail and a 1-day workshop (last round). During the expert consultation different elicitation methods were used, such as the Delphi procedure and Adapted Conjoint Analysis (ACA). The most important risk factor for, respectively, mild and severe pneumonia in dairy calves aged 0–3 months was perceived to be (poor) air circulation and purchase of cattle. The latter risk factor was also considered as having the highest impact on the incidence of severe outbreak cases in dairy youngstock aged 3–6 months, whereas a previous case of BRD was considered to be the most important risk factor for mild outbreak cases. Outbreaks (both mild and severe) in dairy youngstock aged 6–24 months were perceived to be influenced most by air circulation.

[1]  H. Erb,et al.  Path model of individual-calf risk factors for calfhood morbidity and mortality in New York Holstein herds☆ , 1988 .

[2]  Joel Huber,et al.  The Effectiveness of Alternative Preference Elicitation Procedures in Predicting Choice , 1993 .

[3]  H. S. Horst,et al.  Elicitation of expert knowledge on risk factors for classical swine fever transmission in Switzerland. , 1997 .

[4]  H. Erb,et al.  Path model of herd-level risk factors for calfhood morbidity and mortality in New York Holstein herds , 1993 .

[5]  H. S. Horst,et al.  Eliciting the relative importance of risk factors concerning contagious animal diseases using conjoint analysis: a preliminary survey report , 1996 .

[6]  Paul E. Green,et al.  A Cross-Validation Test of Hybrid Conjoint Models , 1983 .

[7]  William E. Marsh,et al.  Management practices and risk factors for morbidity and mortality in Minnesota dairy heifer calves , 1996 .

[8]  R. Huirne,et al.  Adaptive conjoint analysis to determine perceived risk factors of farmers, veterinarians and AI technicians for introduction of BHV1 to dairy farms. , 1998, Preventive veterinary medicine.

[9]  S. Martin,et al.  Dairy calf management, morbidity and mortality in Ontario Holstein herds. III. Association of management with morbidity , 1986, Preventive Veterinary Medicine.

[10]  E. Pérez,et al.  Management factors related to calf morbidity and mortality rates. , 1990 .

[11]  J. Steenkamp,et al.  Conjoint measurement in ham quality evaluation. , 1987 .

[12]  Paul E. Green,et al.  Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice , 1990 .

[13]  Y. Schukken,et al.  Herd Health and Production Management in Dairy Practice , 1998 .

[14]  R. Cooke Experts in Uncertainty: Opinion and Subjective Probability in Science , 1991 .

[15]  George P. Huber,et al.  Multi-Attribute Utility Models: A Review of Field and Field-Like Studies , 1974 .

[16]  A. A. Dijkhuizen,et al.  Introduction of contagious animal diseases into The Netherlands: elicitation of expert opinions , 1998 .

[17]  Marija J. Norusis,et al.  SPSS for Windows Base System User''s Guide , 1992 .

[18]  Jane M. Booker,et al.  Eliciting and analyzing expert judgement - a practical guide , 2001, ASA-SIAM series on statistics and applied probability.