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 uncertain and with the level of uncertainty determined by the sample size used to estimate
the values. 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:
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.
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.
Paste data in the space below. Data columns can be
in any order but must include columns labeled "Poolsize" and "Pools". A header row specifying column
names must also be included.
Download example data
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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
© 2018 Ausvet