Fig. 1
From: estimateR: an R package to estimate and monitor the effective reproductive number
Summary of \(R_e\) inference on simulated data. Each row corresponds to a different scenario of \(R_e\) changes through time. Values shown in blue correspond to data simulated without additional observation noise whereas the green values correspond to data simulated with an auto-correlated noise model. The first column shows estimated \(R_e\) values, with the ground truth as a black line. For each noise model, the median (over 100 replicates) estimate is shown as a line and the 95% confidence interval is shown as a ribbon. The second column shows corresponding coverage values (fraction of replicates for which the ground truth is inside the confidence intervals) and the third column shows the root mean squared error (RMSE)