How Many Santa Clara COVID tests were False Positives?

The results of the Santa Clara COVID Prevalence Study estimated the prevalence of COVID19 infections between 1.5 and 3%. When real-world tests are applied to low prevalence populations, there are always errors - false positives and false negatives. This is a graphical tool to explore the sometimes confusing relationships between Sensitivity, Specificity, and Prevalence and the way they interact to influence the Predictive Values of a binary classification test.

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