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Published on: July 11, 2015
Age-dependent patterns of bovine tuberculosis in cattle
Ellen Brooks-Pollock1, Andrew J K Conlan, Andy P Mitchell
1Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB3 0ES, UK. ellen.brooks.pollock@gmail.com.
Bovine tuberculosis (BTB) infection risk in cattle increases with age, peaking between 12-36 months. Targeting this age group in control programs could improve BTB management in cattle populations.
Area of Science:
- Veterinary Epidemiology
- Infectious Disease Modeling
- Animal Health Economics
Background:
- Bovine tuberculosis (BTB) poses a significant threat to global cattle industries.
- Understanding age-specific infection risks is crucial for effective BTB control in cattle, but data has been limited.
- Previous studies have not adequately quantified age-dependent risks in cattle populations.
Purpose of the Study:
- To estimate age-specific bovine tuberculosis reactor rates in Great Britain.
- To identify age groups with the highest infection risk and detection probability.
- To inform targeted control strategies for bovine tuberculosis.
Main Methods:
- Utilized herd-level testing data combined with spatial movement data from the Cattle Tracing System (CTS).
- Employed a catalytic model to analyze infection risk and detection probability across different age groups.
- Analyzed infection incidence and reproductive numbers between 2004 and 2009.
Main Results:
- BTB infection risk and detection probability show strong age dependencies, increasing with age.
- Age-specific incidence rose until 24-36 months, with the highest rates in cattle aged 12-36 months.
- Infection risks were similar for beef and dairy cattle under 24 months, but diverged significantly in older animals.
Conclusions:
- BTB rates exhibit a consistent age-related pattern across diverse cattle populations.
- Targeting cattle aged 12-36 months in mass control programs may offer a beneficial strategy for BTB management.
- The findings provide practical insights into BTB epidemiology and effective control measures.
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