Introduction
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.
Inputs
Required inputs for this program are:
 assumed true prevalence of infection  between 0 and 1;
 assumed test sensitivity and specificity  between 0 and 1;
 estimates of the true test sensitivity and specificity  between 0 and 1;
 the desired level of confidence  between 0 and 1;
 the number of iterations to simulate  a positive integer; and
 the size and number of pools to be tested for each strategy to be simulated.
This data should be copied and pasted from a spreadsheet format as described below.
Outputs
Outputs are summarised across all iterations for each strategy entered and presented in a summary
table. The main outputs are:
In addition, detailed results for all iterations for each strategy can be downloaded as a
text file, and histograms of the prevalence estimates can be viewed by clicking on the appropriate icons in
the summary results table.
Note:
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.
