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Table 4 Univariate analysis of influencing factors of TB

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

Covariate

DIC

Regression Coefficient

95% credible interval

Environmental factors

 PM10(μg/m3)

2687.60

-0.0003

(-0.0016,0.0099)

 SO2(μg/m3)

2687.07

0.0033

(0.0012,0.0061)

 NO2(μg/m3)

2687.15

-0.0060

(-0.0106,-0.0024)

Population characteristics

 PD (people/KM2)

2684.30

-0.2025

(-0.2187,-0.1856)

 UR (%)

2687.58

-0.2092

(-0.2494,-0.1788)

 PEIA (%)

2680.96

0.0125

(0.0091,0.0156)

Economic factors

 PGDP(1000 yuan)

2686.91

-0.0404

(-0.1227,0.0442)

 DIUR(1000 yuan)

2686.93

-0.0025

(-0.0083,0.0035)

 DIRR (1000 yuan)

2688.08

-0.0041

(-0.0156,0.0047)

 LINA (per 1000 persons)

2687.49

0.0661

(0.0319,0.1106)

  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