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In COVID-19 testing, what does yield mean?

Yield is the total number of cases identified under a given testing strategy. The testing yield is a function of the efficiency of the testing strategy and the size of the population who would be tested by that strategy in the target population. For example, if the expected efficiency of a strategy is 0.06 cases per test, and 50 people are eligible to be tested under that strategy, the expected yield when implementing that strategy would be 0.06*50 = 3 cases of SARS-CoV-2. Comparing the expected yield of various testing strategies is important because the most efficient strategies may not necessarily identify the greatest number of cases. If a characteristic that defines eligibility for a testing strategy is uncommon in the target population, even if the strategy has a high expected efficiency, the absolute number of people identified when implementing the strategy may be low.