Table 1.

Correlations between R_t^Model-based and R_t^Empirical using the A) Robert Koch Institute method [23], B) Cislaghi method [35], C) Systrom-Bettencourt and Ribeiro method [12,38-40], D) Wallinga and Teunis method [36], and E) Cori et al. method [32]

	RtModel-based	RtEmpirical, Robert Koch Institute method	RtEmpirical, Cislaghi method	RtEmpirical, Systrom-Bettencourt and Ribeiro method	RtEmpirical, Wallinga and Teunis method
Pearson correlation coefficient:
RtEmpirical, Robert Koch Institute method	0.731 (P < 0.001)
RtEmpirical, Cislaghi method	0.567 (P < 0.001)	0.605 (P < 0.001)
RtEmpirical, Systrom-Bettencourt and Ribeiro method	0.785 (P < 0.001)	0.852 (P < 0.001)	0.718 (P < 0.001)
RtEmpirical, Wallinga and Teunis method	0.648 (P < 0.001)	0.471 (P < 0.001)	0.446 (P < 0.001)	0.589 (P < 0.001)
RtEmpirical, Cori et al. method	0.718 (P < 0.001)	0.943 (P < 0.001)	0.760 (P < 0.001)	0.886 (P < 0.001)	0.469 (P < 0.001)
Spearman correlation coefficient:
RtEmpirical, Robert Koch Institute method	0.684 (P < 0.001)
RtEmpirical, Cislaghi method	0.540 (P < 0.001)	0.597 (P < 0.001)
RtEmpirical, Systrom-Bettencourt and Ribeiro method	0.749 (P < 0.001)	0.853 (P < 0.001)	0.718 (P < 0.001)
RtEmpirical, Wallinga and Teunis method	0.635 (P < 0.001)	0.492 (P < 0.001)	0.421 (P < 0.001)	0.608 (P < 0.001)
RtEmpirical, Cori et al. method	0.677 (P < 0.001)	0.946 (P < 0.001)	0.745 (P < 0.001)	0.880 (P < 0.001)	0.473 (P < 0.001)