Table 3.

Results of the univariate regression results estimating the association between each neighborhood factor and neighborhood COVID-19 burden for the Southwestern United States

Southwest
	Arizona	New Mexico	Oklahoma
	IRR [95% CI]	IRR [95% CI]	IRR [95% CI]
Neighborhood characteristic
Neighborhood affluence
Q1 (ref.)	Ref.	Ref.	Ref.
Q2	1.01 [0.92–1.1]	1 [0.87–1.13]	0.99 [0.94–1.05]
Q3	0.93 [0.83–1.06]	0.86* [0.75–0.99]	1.05 [0.98–1.12]
Q4 (highest affluence)	0.91 [0.78–1.05]	0.71*** [0.62–0.82]	1.09** [1.02–1.17]
Neighborhood disadvantage
Q1 (ref.)	Ref.	Ref.	Ref.
Q2	1.09 [0.97–1.22]	1.12*** [1.05–1.2]	0.92*** [0.89–0.96]
Q3	1.15*** [1.07–1.23]	1.25*** [1.16–1.34]	0.89*** [0.85–0.94]
Q4 (highest disadvantage)	1.16* [1.03–1.31]	1.31*** [1.18–1.44]	0.88*** [0.82–0.95]
Neighborhood population density	1 [1–1]	1 [1–1]	1* [1–1]
Political partisanship  (% of votes cast for Republican candidates in 2018 and the 6 years before)	1.04 [0.94–1.16]	1.06*** [1.03–1.09]	1 [0.97–1.04]
Rural-urban commuting area codes
Metropolitan (ref.)	Ref.	Ref.	Ref.
Micropolitan	1.11 [0.95–1.28]		0.99 [0.93–1.06]
Small town	0.66** [0.51–0.86]		0.97 [0.91–1.04]
Rural	0.55*** [0.4–0.74]		0.92* [0.86–0.98]

+p < 0.10, *p < 0.05, **p < 0.01, ***p < 0.001.