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Abstract:
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Group testing involves testing individual items together as a combined group, rather than separately, to better understand each item. This process is used in a large number of applications, including blood donation screening, sexually transmitted disease detection, discovery of chemical compounds for new pharmaceuticals, and understanding virus transmission from insects to plants. Most recently, group testing has been used by laboratories to increase testing capacity during the COVID-19 pandemic. Group testing has two separate goals – identification and estimation – where one or both of them may be goals for a particular application. In our presentation, we focus on the estimation goal to estimate an overall prevalence or an individual-specific probability associated with a binary outcome.
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