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In statistics and combinatorial mathematics, group testing is any procedure that breaks up the task of identifying certain objects into tests on groups of items, rather than on individual ones.
Group testing is a statistical method used to identify the presence of a particular trait or characteristic within a population by testing a group of subjects simultaneously rather than testing each subject individually.
15 Φεβ 2019 · The group testing problem concerns discovering a small number of defective items within a large population by performing tests on pools of items. A test is positive if the pool contains at least one defective, and negative if it contains no defectives.
The focus of this survey is on the non-adaptive setting of group testing. In this setting, the test pools are designed in advance enabling them to be implemented in parallel. The survey gives a comprehensive and thorough treatment of the subject from an information theoretic perspective.
Group testing, also known as pooled sample testing, was first proposed by Robert Dorfman in 1943. While sample pooling has been widely practiced in blood-banking, it is traditionally seen as anathema for clinical laboratories.
18 Αυγ 2021 · The concept of group testing (also called pooled testing or pooling) is a promising way to make better use of the available capacities by mixing the samples of different individuals before testing, and to first perform the test on these mixtures, the so-called pools, as if it were only one sample.
4 Μαρ 2021 · The principle of group testing consists in combining samples from multiple individuals into a single pool that is then tested using a single test—which, in the COVID-19 context, amounts to using a single RT-PCR well and reactive kit.