Statistical Sample Quotas Model Using Clustering
This model estimates the sample size needed in each subadministrative unit without finding disease to have high probability that prevalence is at or below a threshold. The model explicitly accounts for biological clusterings in the population and assumes simple random sampling.
Geographical Scale
- Sub-administrative area
Required Data
- Population size or population density of hosts
User Inputs
- Average cluster size of hosts
- Correlation
- Sensitivity of the diagnostic test
Outputs
- The number of randomly selected animals that need to be tested in each subadministrative unit to have high probability (95%) that disease prevalence in the overall population is at or below 0.5%, 1%, 1.5%, 2%, 3%, 4%, or 5%.
