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Related Experiment Videos

Samples, sample selection, and statistics: living with uncertainty.

C B Clifford1, C Clifford

  • 1Charles River Laboratories, 251 Ballardvale St., Wilmington, MA 01887, USA. cclifford@criver.com

Lab Animal
|March 30, 2002
PubMed
Summary
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Determining the correct animal sample size for pathogen monitoring is crucial. Even with perfect testing, there remains a risk of missing infected individuals in the population.

Area of Science:

  • Veterinary epidemiology
  • Wildlife disease ecology
  • Population health management

Background:

  • Pathogen monitoring in animal populations is essential for disease control and public health.
  • Accurate estimation of sample size is critical for effective surveillance programs.
  • Previous methods may not fully account for the inherent uncertainties in disease detection.

Purpose of the Study:

  • To provide a method for calculating the necessary sample size for pathogen monitoring in animal populations.
  • To highlight the irreducible risk of false negatives in disease surveillance.
  • To inform the design of more robust animal health monitoring strategies.

Main Methods:

  • The study outlines statistical approaches to determine sample size based on desired sensitivity and population characteristics.

Related Experiment Videos

  • It emphasizes the importance of considering disease prevalence and test accuracy.
  • The author discusses the implications of sampling strategies on disease detection probabilities.

    • Main Results:

    • The author presents a framework for sample size calculation in pathogen surveillance.
    • Results indicate that achieving absolute certainty in pathogen detection is not possible.
    • The probability of missing an infected animal is an inherent challenge in any testing program.

    Conclusions:

    • Effective pathogen monitoring requires careful consideration of sample size and testing protocols.
    • Even with optimized programs, residual risk of undetected infections necessitates ongoing vigilance.
    • The findings underscore the need for adaptive surveillance and risk management in animal health.