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Table 3 Mortality rate per 100,000 people per change in independent variable

From: Spatial associations of long-term exposure to diesel particulate matter with seasonal and annual mortality due to COVID-19 in the contiguous United States

Variable

January – May, 2020

June – September, 2020

October– December, 2020

January– December, 2020

OLS

SLM

SEM

GWR

OLS

SLM

SEM

GWR

OLS

SLM

SEM

GWR

OLS

SLM

SEM

GWR

DPMa

2.920 (1.237, 4.603)

1.710 (0.08608, 3.334)

1.845 (−0.2474, 3.9364)

3.125 (−23.36 – 76.94)

3.478 (1.561, 5.395)

3.275 (1.399, 5.152)

3.689 (1.416, 5.963)

1.109 (−29.99 – 72.56)

3.314 (−1.292, 7.920)

1.740 (−2.377, 5.858)

0.3395 (−5.468, 6.147)

−5.329 (− 160.6 – 53.56)

8.896 (3.841, 13.95)

4.293 (−0.2126, 8.798)

0.8571 (− 5.602, 7.316)

−15.65 (− 136.7 – 72.87)

Blackb

52.14 (43.96, 60.32)

37.77 (29.66, 45.88)

43.18 (32.43, 53.94)

38.11 (− 956.2 – 595.0)

108.1 (98.87, 117.3)

85.29 (75.18, 95.40)

103.9 (92.81, 115.0)

−54.83 (− 1278 – 358.3)

−31.38 (− 50.25, − 12.51)

−16.79 (− 33.72, 0.1476)

−32.91 (− 58.83, − 6.991)

−36.54 (− 4541 – 12,079)

123.9 (100.3, 147.5)

67.42 (45.86, 88.98)

104.4 (73.23, 135.6)

88.63 (− 3762 – 1420)

Hispanicc

–

–

–

–

65.02 (54.36, 75.68)

51.15 (40.43, 61.86)

60.29 (47.53, 73.05)

68.11 (− 240.0 – 325.0)

–

–

–

–

101.1 (78.09, 124.1)

66.13 (45.32, 86.94)

105.5 (74.06, 136.9)

68.79 (− 1217 – 704.7)

American Indiand

30.04 (13.28, 46.80)

26.98 (10.85, 43.11)

25.95 (7.221, 44.69)

13.27 (− 3722 – 639.9)

–

–

–

–

137.1 (97.25, 176.9)

84.24 (48.51, 120.0)

71.98 (28.02, 115.9)

−72.70 (− 1973 – 3011)

216.5 (171.4, 261.6)

149.4 (109.0, 189.9)

146.9 (100.1, 193.6)

−71.81 (− 1544 – 7853)

Mining or Agriculturee

–

–

–

–

–

–

–

–

487.6 (402.1, 573.1)

243.4 (165.7, 321.0)

227.9 (130.6, 325.1)

33.60 (− 1995 – 2171)

410.8 (306.4, 515.2)

178.5 (84.88, 272.1)

115.1 (−3.324, 233.5)

112.7 (− 1838 – 2048)

Public Transportf

−505.3 (− 623.1, − 387.5)

− 720.9 (− 834.6, − 607.1)

− 840.4 (−964.8, − 715.9)

− 10.75 (− 2790 – 3850)

625.6 (484.9, 766.3)

735.5 (597.1, 873.8)

674.7 (525.9, 823.4)

− 132.9 (− 10,739 – 4070)

–

–

–

–

–

–

–

–

Drive to workg

–

–

–

–

−112.0 (− 211.5, − 12.45)

− 71.35 (− 168.8, 26.06)

−55.44 (− 156.7, 45.85)

35.78 (− 1487 – 1527)

–

–

–

–

–

–

–

–

Inactivityh

–

–

–

–

115.6 (92.02, 139.2)

99.16 (76.03, 122.3)

93.35 (68.16, 118.5)

43.88 (− 143.7 – 510.9)

–

–

–

–

204.4 (150.1, 258.6)

151.7 (102.9, 200.4)

191.5 (134.7, 248.3)

179.3 (− 267.5 – 1058)

Uninsuredi

−48.26 (−69.45, − 27.07)

−42.74 (−63.14, − 22.35)

−35.58 (−64.24, −6.925)

16.25 (− 404.6 – 853.0)

–

–

–

–

–

–

–

–

–

–

–

–

Smokingj

−89.35 (− 123.4, − 55.30)

−80.49 (− 113.3, − 47.71)

−83.24 (− 126.6, − 39.85)

− 42.70 (− 1377 – 339.0)

–

–

–

–

174.4 (92.30, 256.5)

94.30 (20.54, 168.0)

175.4 (67.98, 282.9)

311.2 (− 1425 – 3479)

–

–

–

–

Obesek

–

–

–

–

–

–

–

–

56.68 (5.171, 108.2)

54.02 (7.962, 100.1)

63.99 (14.55, 113.4)

54.49 (− 550.6 – 899.5)

–

–

–

–

Age 65 or olderl

–

–

–

–

–

–

–

–

88.62 (28.25, 149.0)

83.55 (29.57, 137.5)

90.38 (25.45, 155.3)

147.1 (− 602.9 – 909.2)

–

–

–

–

Income inequalitym

3.888 (2.320, 5.456)

3.576 (2.067, 5.084)

2.855 (1.275, 4.434)

0.4881 (− 16.59 – 66.44)

–

–

–

–

–

–

–

–

11.64 (7.121, 16.09)

7.223 (3.246, 11.20)

9.199 (4.851, 13.55)

5.949 (−28.14 – 116.7)

Housing problemsn

–

–

–

–

–

–

–

–

− 348.7 (− 414.4, − 283.0)

−188.3 (−247.6, − 128.9)

−189.1 (−261.4, −116.8)

−88.59 (− 2273 – 1276)

− 383.0 (−473.3, − 292.7)

−208.4 (− 289.6, −127.4)

− 233.1 (− 326.8, −139.4)

−142.9 (−256.0 – 1305)

Incomplete schoolo

–

–

–

–

1027 (739.5, 1315)

988.5 (706.9, 1270)

1051 (756.9, 1344)

471.6 (− 2395 – 7917)

–

–

–

–

–

–

–

–

Population densityp

0.01311 (0.01215, 0.01407)

0.01328 (0.01234, 0.01422))

0.01574 (0.01480, 0.01667)

6.120 × 10−4 (−1.017 – 0.04822)

−0.01441 (− 0.01557, − 0.01325)

−0.01419 (− 0.01534, − 0.01305)

−0.01515 (− 0.01631, − 0.01398)

−1.948 × 10− 3 (− 0.05001 – 0.2498)

–

–

–

–

–

–

–

–

R2

0.37

0.42

0.45

0.65

0.41

0.43

0.44

0.59

0.16

0.33

0.31

0.49

0.15

0.32

0.32

0.44

  1. Where cells are left blank, the forward stepwise variable selection process did not identify those variables for inclusion in the model. Ninety-five percent confidence intervals are provided for the OLS, SLM, and SEM models. Coefficients obtained from the GWR analysis are presented as median (min – max) across counties
  2. Units: a deaths per 100,000 per IQR μg/m3 change in concentration, b deaths per 100,000 per fraction of the population that identifies as Black, c deaths per 100,000 per fraction of the population that identifies as Hispanic, d deaths per 100,000 per fraction of the population that identifies as American Indian, e deaths per 100,000 per fraction of the population that works in agriculture or mining, f deaths per 100,000 per fraction of the population that takes public transportation to work, g deaths per 100,000 per fraction of the population that drives to work, h deaths per 100,000 per fraction of the population that is inactive, i deaths per 100,000 per fraction of the population that is uninsured, j deaths per 100,000 per fraction of the population that smokes, k deaths per 100,000 per fraction of the population that is obese, l deaths per 100,000 per fraction of the population that is age 65 or older, m deaths per 100,000 per income inequality ratio, n deaths per 100,000 per fraction of the population that experiences housing problems, o deaths per 100,000 per fraction of the population that has not yet completed school, p deaths per 100,000 per change in population density people/mile2