This utility simulates sampling and prevalence estimation for alternative pooling strategies for an assumed prevalence value and for a specified level of confidence. The program runs multiple iterations of sampling and estimation and calculates the mean prevalence and estimated bias across all iterations. See the User Guide for more details. See demonstration analysis.
This method estimates prevalence using a method that assumes that test sensitivity and specificity are both 100%. However, if the true sensivitity and specificity of the test are likely to be less than 100% estimates of the true values can be entered to investigate the potential impact of this assumption being invalid on the resulting prevalence estimate.
Required inputs for this program are:
Outputs are summarised across all iterations for each strategy entered and presented in a summary table. The main outputs are:
Data for pool sizes and associated numbers of pools tested should be pasted into the data submission area. You can enter any number of scenarios to simulate, with a new row required for each scenario. You must enter at least two columns of data, labeled "PoolSize" and "Pools". Include a header row containing the names.