This utility simulates sampling and prevalence estimation for alternative pooling strategies for assumed values of prevalence and test sensitivity and specificity 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 known, and that doesn't allow for uncertainty in these estimates. However, the program also allows for alternative the estimates of the true sensitivity and specificity of the test to be entered, allowing assessment of the potential impact of inaccurate estimates of sensitivity and specificity 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.