Escherichia coli O157 infection on Scottish cattle farms: dynamics and control
2010

Controlling E. coli O157 Infection on Scottish Cattle Farms

Sample size: 461 publication 10 minutes Evidence: moderate

Author Information

Author(s): Zhang Xu-Sheng, Woolhouse Mark E. J.

Primary Institution: University of Edinburgh

Hypothesis

How can targeted and non-targeted interventions reduce E. coli O157 infection among Scottish cattle farms?

Conclusion

Targeted interventions based on farm size are more effective than non-targeted interventions, but complete eradication of E. coli O157 is impractical.

Supporting Evidence

  • Targeted interventions based on farm-level risk factors are more efficient than non-targeted interventions.
  • Herd size is a major determinant of risk of infection.
  • Interventions that reduce the transmission coefficient are more effective than reducing cattle movement rates.
  • Eliminating movement-related transmission significantly increases effectiveness only when the control effort is small.
  • Despite uncertainty in parameter values, the expected impacts of interventions are consistent.

Takeaway

This study looks at how to stop a germ called E. coli O157 from spreading on farms with cows. It found that focusing on the biggest farms works better than trying to help all farms equally.

Methodology

The study used a stochastic individual-based model and Markov chain Monte Carlo methods to simulate the transmission dynamics and effectiveness of interventions.

Potential Biases

The stochastic nature of the infection process may introduce variability in the effectiveness of interventions.

Limitations

Interventions that are less than 100% effective cannot eradicate the infection, and the model's predictions are based on parameter estimates with considerable uncertainty.

Participant Demographics

The study focused on 461 cattle farms in Scotland, with 87 (18.9%) of these farms being infected.

Statistical Information

P-Value

p<0.05

Confidence Interval

(−4.43,−1.88)

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1098/rsif.2010.0470

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