Author: Paul F Rodriguez
Title: Predicting Whom to Test is More Important Than More Tests - Modeling the Impact of Testing on the Spread of COVID-19 Virus By True Positive Rate Estimation Document date: 2020_4_6
ID: 06vc2y9y_5
Snippet: Another example to consider is the Diamond Princess cruise ship case. According to the CDC all individuals were tested over several weeks, some multiple times (Moriarty, et al., 2020) . There were ~10% of individuals on board who tested positive and showed symptoms, ~10% who tested positive and showed no symptoms at the time of testing, and 80% negative. This suggests that if you have a number of tests on the order of the number of infected indiv.....
Document: Another example to consider is the Diamond Princess cruise ship case. According to the CDC all individuals were tested over several weeks, some multiple times (Moriarty, et al., 2020) . There were ~10% of individuals on board who tested positive and showed symptoms, ~10% who tested positive and showed no symptoms at the time of testing, and 80% negative. This suggests that if you have a number of tests on the order of the number of infected individuals you would only get about 50% TP rate. If you had more tests and only considered symptoms as a predictor, then after the first 10% of the population (with symptoms), the TP rate would increase at the baseline rate of 1 out 9 tests. Contact tracking could help, but in some sense the whole ship was in the sphere of possible contact.
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