Skip to main content

Table 1 Poisson Regression Coefficients and 95 Percent Confidence Intervals of Hypothesized Predictors of COVID-19 Mortality Among 217 U.S. Counties, April, 2021

From: Association of COVID-19 mortality with politics and on-demand testing in 217 U.S. counties

 

COVID-19 Deaths (95% C.I.)

Negative tests

.030 (.024, .036)

Percent vote Trump

.010 (.009, .011)

Log (population/square kilometer)

.020 (.011, .029)

Average persons per household

1.786 (1.729, 1.843)

Log (Average employees per business)

.011 (−.006, .026)

Log (Average religious per number of congregations)

.231 (.206, .256)

Log (claimed social acquaintances)

.031 (.006, .056)

Percent obese in the population

−.009 (−.012, −.006)

Percent diabetic in the population

.050 (.043, .057)

Cardiovascular hospital discharge rate

−.001 (−.002, .001)

Median age

.027 (.023 .031)

Percent aged 65 and older

.028 (.025, .031)

Percent adults finished high school

−.006 (−.008, −.004)

Log (median family income)

−1.065(− 1.017, − 1.113)

Income inequality

.046 (.033, .059)

Percent unemployed before COVID-19

−.360 (−.399, −.321)

Percent African American

.025 (.018, .032)

Percent Hispanic

.035 (.025, .045)

California

−.114 (−.150, −.078)

Florida

.037 (−.011, .085)

New York

.412 (.374, .450)

Pennsylvania

.479 (.434, .524)

Texas

−.046 (−.092, −.003)

Intercept

−3.68