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Parallel testing is less commonly used, but is primarily directed at improving overall sensitivity and hence negative predictive value of the testing regimen. Parallel testing is mainly applied where minimising false negatives is imperative, for example in public health programs or for zoonoses, where the consequences of failing to detect a case can be extremely serious. In contrast to series testing, every sample must be tested with both tests for parallel testing to be effective, so that testing costs can be quite high.