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Related Experiment Videos

Modelling BVD at herd level compared with individual animal level.

R W Humphry1, A W Stott, G J Gunn

  • 1SAC Animal Health Group, Epidemiology Research Unit, Drummondhill, Stratherrick Road, Inverness IV2 4JZ, UK. roger.humphry@sac.ac.uk

Preventive Veterinary Medicine
|October 11, 2005
PubMed
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This study compares two stochastic models for Bovine Viral Diarrhea (BVD) in beef herds. Both individual-based and herd-based models were evaluated for their effectiveness in disease assessment.

Area of Science:

  • Veterinary Epidemiology
  • Mathematical Modeling
  • Animal Health

Background:

  • Bovine Viral Diarrhea (BVD) poses significant economic challenges to the beef industry.
  • Effective disease control strategies rely on accurate epidemiological models.
  • Stochastic modeling offers a framework to capture disease transmission variability.

Purpose of the Study:

  • To evaluate the utility of two distinct stochastic models for BVD in beef herds.
  • To compare the performance of an individual-based model versus a herd-based model.
  • To determine the most effective modeling approach for BVD risk assessment.

Main Methods:

  • Development and implementation of two stochastic simulation models for BVD.
  • One model focused on individual animal interactions and disease status.

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  • The second model aggregated disease dynamics at the herd level.
  • Main Results:

    • Preliminary analysis indicates differences in the predictive capabilities of each model.
    • The individual-based model may offer greater granularity in disease spread dynamics.
    • The herd-based model provides a more computationally efficient approach.

    Conclusions:

    • Both individual and herd-based stochastic models have potential applications in BVD management.
    • Model selection should consider the specific objectives of BVD surveillance and control programs.
    • Further validation is required to fully ascertain the utility of each model.