Table 2.

Linear regression coefficients for factors associated with prediction accuracy (AEIL)

	Number of data points in weeks (95% CI)	Growth in logarithmic case counts until estimation (95% CI)	Interaction term (95% CI)
Day of estimation	−0.077*** (− 0.114 to − 0.040)	−0.016 (− 0.055 to 0.023)	0.002 (− 0.005 to 0.009)
Two weeks forecast	−0.073* (− 1.304 to − 0.015)	−0.100** (− 1.614 to − 0.039)	0.011* (0.000 to 0.022)
One month forecast	− 0.131** (− 0.216 to − 0.046)	−0.145** (− 0.235 to − 0.054)	0.017* (0.001 to 0.034)
Two months forecast	−0.242*** (− 0.361 to − 0.124)	−0.242*** (− 0.368 to − 0.117)	0.032** (0.010 to 0.055)

AEIL = absolute difference between logarithmic predicted and observed case counts; CI = confidence interval; *p < .050; **p < .010; ***p < .001