Population level (or herd, flock, cluster, or other grouping) sensitivity

Input Values


This utility calculates a population or cluster level sensitivity for a survey. This is the probability (or level of confidence) that one or more positive units would be detected if the disease was present at a prevalence greater than or equal to the specified design prevalence.

For these calculations unit specificity is assumed to be 100%. For calculating cluster (herd, flock, etc) sensitivity, enter test sensitivity and unit-level design prevalence or for population level sensitivity enter cluster-level (herd) sensitivity and design prevalence.

Calculations use the hypergeometric approximation if population size is provided, or binomial method if population size is not specified.

Inputs are:

  • Design prevalence as either a proportion or an integer number of units (animals for cluster level sensitivity and clusters for population-level sensitivity);
  • Unit sensitivity (test sensitivity to calculate cluster (herd) sensitivity or cluster (herd) sensitivity tocalculate population sensitivit;
  • Sample size - the number of units sampled (animals or clusters); and
  • Population size (optional if design prevalence is specified as a proportion, required if design prevalence is a number of units). Leave population size blank if not known.

Outputs are:

  • Population-level sensitivity for the given sample size, design prevalence and unit sensitivity; and
  • A table and graph of population-level sensitivity values for varying population and sample sizes and the given design prevalence and unit sensitivity.
Design prevalence (proportion or units):
Unit (test or cluster) sensitivity:
Sample size:
Population size (if known):


  Home  |   About this site  |   Glossary   |   References   |   Links   |  156 recent calculations

This site was created by Ausvet with funding from a range of sources.
It provides a range of epidemiological tools for the use of researchers and epidemiologists, particularly in animal health.
Please send any comments, questions or suggestions to Evan Sergeant
© 2017 Ausvet