HerdPlus: SeH for varying design prevalence

Input Values

Test Sensitivity:
Test Specificity:
Herd Size:
Sample Size:
Cut-point number of reactors:
Precision (significant digits):
Iterations:
  

Calculate herd sensitivity for a range of design prevalence values, for specified test sensitivity, test specificity, herd size, sample size and cut-point number of reactors. SeH is calculated for prevalence values ranging from 0.005 to 0.2

Inputs include:

  • Test sensitivity and specificity;
  • Herd size;
  • Sample size tested;
  • The cut-point number of reactors to classify a herd/flock as positive (if there are fewer reactors than the specified cut-point the herd is negative, if the number of reactors is >= cut-point the herd is positive);
  • The desired precision of results (number of digits to be displayed after the decimal point); and
  • The number of iterations for the simulation method.

Table and plot of SeH for four different estimation methods:

  1. Simulated sampling using the specified number of iterations;
  2. HerdPlus: Using the hypergeometric distribution. Greiner et al, manuscript in preparation;
  3. HerdAcc: Jordan D, McEwen SA, 1998. Herd-level test performance based on uncertain estimates of individual test performance, individual true prevalence and herd true prevalence. Prev. Vet. Med. 3: 187-209; and
  4. FreeCalc: Cameron AR, Baldock FC, 1998. A new probability formula for surveys to substantiate freedom from disease. Prev. Vet. Med. 34: 1-17

Acknowledgement:

Developed by Matthias Greiner and Evan Sergeant


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