Fig. 5: Tracing policy efficiency.
From: Digital proximity tracing on empirical contact networks for pandemic control
Growth or decrease rate of the number of newly infected individuals assuming that symptomatic individuals can be isolated and that an additional 50% of asymptomatics can be identified via randomized testing. The points correspond to the parameter pairs such that the isolation efficiency εI is an input and the tracing efficiency εT an output of the simulations on CNS contact data, for the five policies. The different scenarios are defined by an app adoption level of 20, 40, or 60% (from left to right), and by a value of the reproductive number R0 equal to 2, 1.5, or 1.2 (from top to bottom). All the points have been obtained as mean values over n = 200 simulations and the error bars represent the standard error.
