Table 2.

Mixed Effects Linear Regression Models for the Estimated R_t Before Versus After Relaxation of Social Distancing Measures, Stratified by Characteristics of the First Relaxation Order

Measure Relaxeda	Jurisdictions in Which This Element Was Included in the Initial Relaxation	Mean Estimated Daily Change in Rt prior to Relaxation	95% Confidence Interval	P value	Mean Estimated Daily Change in Rt Following Relaxationb	95% Confidence Interval	P value
Reopening public schools	4	−.005	−.007, −.004	<.001	.009	.008, .010	<.001
Easing of work restrictions	40	−.011	−.012, −.011	<.001	.007	.006, .007	<.001
Reopening of service industry establishment	32	−.011	−.012, −.010	<.001	.007	.006, .007	<.001
Sanctioning public events	14	−.008	−.009, −.007	<.001	.008	.008, .009	<.001
Reopening of outdoor recreational facilities	22	−.015	−.016, −.014	<.001	.006	.005, .006	<.001
Rescission of statewide restrictions on internal movement	16	−.012	−.013, −.011	<.001	.010	.009, .010	<.001

^aEach line corresponds to a separate regression model in which the primary explanatory variables of interest were time in days, relaxation period (relative to the specific type of social distancing measure described in the row header), and a time-by-relaxation-period product term. Estimates were also adjusted for day of the week and population density.

^bThe postrelaxation term represents the linear combination of the prerelaxation period and the time × postrelaxation period coefficient.