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Table 1 Summary table of Regression models of association between COVID case-rate and LAN intensity with covariant: nonwhite rate, percent below poverty, and population density for the overall, lockdown, and reopening periods for New York, Connecticut, California, and Texas

From: Co-distribution of Light At Night (LAN) and COVID-19 incidence in the United States

Variables N Overall cases rate Lockdown cases rate Reopening cases rate
Beta P-value R2 Beta P-value R2 Beta P-value R2
New York 62 0.156 6.61E-06 0.80 0.148 1.34E-05 0.78 0.003 0.4072 0.40
Connecticut 167 0.037 6.10E-11 0.58 0.030 8.90E-11 0.57 0.006 0.0080 0.21
Texas 254 0.043 0.1602 0.13 0.001 0.8682 0.02 0.041 0.1558 0.12
California 56 0.110 0.1428 0.22 0.001 0.8960 0.37 0.110 0.1297 0.23
  1. N: county level data points for states of NY, CA, TX; town level data points for CT
  2. Beta: beta-estimate for the regression model, representing the coefficient of models
  3. R2: measured the goodness of fitting for regression models, representing percent of data that is able to be explained by the model