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Network modeling of BVD transmission
Mark Tinsley1, Fraser I Lewis, Franz Brülisauer
1C, Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, USA. mark.tinsley@mail.wvu.edu.
Veterinary Research
|February 14, 2012
Summary
Controlling bovine viral diarrhea (BVD) in cattle requires a national network approach. Targeting high-movement farms effectively reduces disease spread and improves animal welfare.
Area of Science:
- Veterinary epidemiology
- Mathematical modeling
- Animal health economics
Background:
- Bovine viral diarrhea (BVD) significantly impacts cattle production, animal welfare, and climate change mitigation.
- Previous modeling studies focused on local, on-farm disease dynamics.
- A network-level approach is crucial for understanding and controlling BVD across multiple farms.
Purpose of the Study:
- To develop a national-scale model for BVD virus transmission.
- To estimate key epidemiological parameters at the herd level.
- To evaluate the effectiveness of different control strategies for BVD.
Main Methods:
- Implemented a Susceptible-Infected-Susceptible (SIS) dynamic model, treating each farm as a single unit.
- Utilized a top-down approach to estimate herd-level infection and clearance rates.
- Simulated control strategies focusing on animal movements between farms.
Main Results:
- Identified that targeting a small number of high-movement farms is an efficient strategy.
- Demonstrated the potential for rapid and sustained reduction in BVD prevalence.
- Highlighted the importance of network structure in disease transmission.
Conclusions:
- National-scale modeling is essential for effective endemic disease control in cattle.
- Interventions targeting high-connectivity farms can significantly mitigate BVD spread.
- Optimized control strategies can enhance animal welfare and production efficiency.
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