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Designing a risk-based surveillance program for Mycobacterium avium ssp. paratuberculosis in Norwegian dairy herds
A C Whist1, K H Liland2, M E Jonsson3
1Department of Production Animal Clinical Sciences, Faculty of Veterinary Medicine and Biosciences, Norwegian University of Life Sciences, PO Box 5003, NO-1432 Ås, Norway.
Journal of Dairy Science
|September 10, 2014
Summary
A new risk-based surveillance program for Mycobacterium avium ssp. paratuberculosis (MAP) in Norwegian dairy cattle was developed. This program uses multivariate statistical process control to identify high-risk herds for improved disease detection.
Area of Science:
- Veterinary Epidemiology
- Animal Health Surveillance
- Bovine Diseases
Background:
- Effective surveillance programs are crucial for early detection and risk assessment of animal diseases.
- Mycobacterium avium ssp. paratuberculosis (MAP) poses a significant threat to dairy cattle health and productivity.
- Existing surveillance methods may lack the sensitivity to detect slowly developing infections like MAP.
Purpose of the Study:
- To describe a novel risk-based surveillance program for MAP infection in Norwegian dairy cattle.
- To identify key risk factors and indicators associated with MAP presence in dairy herds.
- To implement a multivariate statistical process control method for herd risk assessment.
Main Methods:
- Utilized national databases to extract risk factors (cattle purchase, mixed farming, farm location) and risk indicators (production and clinical data).
- Applied multivariate statistical process control, specifically Hotelling's T(2) statistic, for herd-level risk assessment.
- Calculated monthly risk based on 24-month accumulated data to account for MAP's slow progression.
Main Results:
- Identified specific risk factors and indicators predictive of MAP infection in dairy herds.
- The multivariate statistical process control effectively assessed herd-level risk, highlighting deviations from average risk factor profiles.
- Highest-ranked herds, indicating higher MAP risk, were identified across Norway, particularly in high-density dairy farming areas.
Conclusions:
- The developed risk-based surveillance program enhances the sensitivity of ongoing MAP detection efforts in Norwegian dairy cattle.
- Multivariate statistical process control is a valuable tool for selecting herds for targeted surveillance, especially when mass screening tests become available.
- This approach facilitates more efficient and effective national surveillance for MAP in cattle populations.
Keywords:
Mycobacterium avium ssp. paratuberculosiscattlemultivariate statistical process controlrisk-based surveillanceMore Related Videos
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