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Decision analysis model for paratuberculosis control in commercial dairy herds
Nathan C Dorshorst1, Michael T Collins, Jason E Lombard
1School of Veterinary Medicine, Department of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI 53706-1102, USA.
Improving herd management is often more cost-effective than testing for paratuberculosis (Johne's disease) in dairy herds. Not all herds require testing, and low-cost tests can be more useful than expensive ones.
Area of Science:
- Veterinary Economics
- Epidemiology
- Dairy Herd Management
Background:
- Paratuberculosis (Johne's disease) poses significant economic challenges in commercial dairy herds.
- Previous economic models for paratuberculosis control require updates with current epidemiological data.
Purpose of the Study:
- To develop and present an updated economic decision analysis model (JD-Tree) for paratuberculosis control in dairy herds.
- To evaluate the cost-effectiveness of different management strategies, diagnostic testing, and culling decisions.
Main Methods:
- The JD-Tree model was developed using Excel and PrecisionTree software.
- It incorporates herd management, diagnostic testing choices, test results, and subsequent management actions.
- Outcomes are measured by net cost-benefit value to the producer.
Main Results:
- Enhanced herd management and hygiene are frequently more cost-effective than diagnostic testing for paratuberculosis control.
- Low-cost diagnostic tests are often more beneficial than high-cost, high-sensitivity tests for many herds.
- Retaining early-stage infected cows with proper management can maintain farm income.
Conclusions:
- The JD-Tree model highlights that paratuberculosis control strategies should be tailored to individual herd economics and epidemiology.
- Veterinarians can use this model as an instructional tool to understand control economics and diagnostic test value.
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