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Table 2 Descriptive statistics of covariates from 2014 to 2020

From: A Spatio-temporal Bayesian model to estimate risk and influencing factors related to tuberculosis in Chongqing, China, 2014–2020

Covariate

Mean ± SD

Min

P25

Median

P75

Max

Environmental factors

 PM10(μg/m3)

62.03 ± 14.51

30.00

52.00

61.00

71.00

114.00

 SO2(μg/m3)

15.98 ± 7.64

5.00

11.00

14.00

19.00

55.00

 NO2(μg/m3)

30.47 ± 10.01

12.00

23.00

30.00

38.00

66.00

Demographic

 PD (people/km2)

1451.65 ± 4057.95

56.18

212.29

420.66

688.03

27,823.28

 UR (%)

60.01 ± 20.36

29.66

43.24

55.94

70.43

100.00

 PEIA (%)

43.36 ± 20.77

0.00

30.78

49.33

58.00

81.85

Economic factors

 PGDP(1000 yuan)

57.32 ± 38.56

12.16

29.70

47.46

72.96

258.15

 DIUR(1000 yuan)

31.85 ± 6.42

18.11

27.03

31.13

36.66

46.99

 DIRR (1000 yuan)

13.71 ± 4.61

4.53

10.75

13.69

16.74

24.87

 LINA per 1000 persons

24.03 ± 16.56

2.26

11.32

19.95

30.61

85.31

  1. Abbreviations: PD population density, UR urbanization rate, PEIA proportion of people engaged in agriculture, PGDP per capita GDP, DIUR disposable income of urban residents, DIRR disposable income of rural residents, LINA low‑income group in non‑agricultural households