Fig. 6: Quarantines, false positives, and negatives, with 40% app adoption and R0 = 1.5.
From: Digital proximity tracing on empirical contact networks for pandemic control
Temporal evolution of percentages of false negatives (a), i.e., infected individuals not quarantined, and false positives (b), i.e., not infected individuals quarantined, over the population for the five different policies, assuming an isolation efficiency of εI = 0.8. The graphs depict the mean and standard error over 200 independent runs. (c): Effectiveness (low number of false negatives) vs. cost (total quarantines) of the policies. (d): The table reports the percentage of distinct individuals who have been quarantined over the entire population and the percentage of them who were actually infected (true positive).
