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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