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. 2021 Sep 2;4(9):e2123405. doi: 10.1001/jamanetworkopen.2021.23405

Table 2. Estimated Associations Between COVID-19 Daily Growth Rate and Log Daily Jail Population and Anticontagion Policies in Multivariate Regression Analysis With County Fixed Effects.

Independent variable Coefficients for growth rate of COVID-19 cases
Quadratic (95% CI) Linear (95% CI)
Log daily jail population 2 wk ago −0.020 (−0.031 to −0.008)a 0.008 (0.003 to 0.012)b
Log daily jail population squared 2 wk ago 0.004 (0.002 to 0.006)b NAc
Nursing home visitation ban policy in effect 2 wk ago −0.073 (−0.088 to −0.058)b −0.074 (−0.089 to −0.058)b
Schools closure policy in effect 2 wk ago −0.043 (−0.066 to −0.020)b −0.046 (−0.069 to −0.022)b
Mandatory mask policy (state-wide) in effect 2 wk ago −0.025 (−0.033 to −0.017)b −0.025 (−0.033 to −0.017)b
Prison visitation ban policy in effect 2 wk ago −0.012 (−0.022 to −0.003)d −0.013 (−0.023 to −0.003)a
Stay-at-home policy in effect 2 wk ago −0.008 (−0.016 to 0.001)e −0.008 (−0.017 to 0.001)e
Other nonessential businesses closure policy in effect 2 wk ago −0.005 (−0.018 to 0.007) −0.006 (−0.018 to 0.007)
Gyms closure policy in effect 2 wk ago −0.005 (−0.013 to 0.003) −0.006 (−0.014 to 0.002)
Bars closure policy in effect 2 wk ago −0.003 (−0.011 to 0.005) −0.003 (−0.010 to 0.005)
Movie theaters closure policy in effect 2 wk ago −0.001 (−0.009 to 0.007) −0.002 (−0.010 to 0.007)
Restaurants closure policy in effect 2 wk ago 0.022 (0.011 to 0.033)b 0.023 (0.012 to 0.035)b

Abbreviation: NA, not applicable.

a

P < .01.

b

P < .001.

c

Linear model will not have a coefficient for the quadratic term.

d

P < .05.

e

P <  .10.