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Table 5 Multivariate 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

Regression Coefficient

95% credible interval

The whole crowd

 SO2(μg/m3)

0.0035

(0.0008,0.0061)

 UR (%)

-0.1521

(-0.1721,-0.1097)

 LINA (per 1000 persons)

0.0703

(0.0528,0.0958)

Male

 SO2(μg/m3)

0.0019

(0.0002,0.0036)

 UR (%)

-0.1651

(-0.1835,-0.1505)

 LINA (per 1000 persons)

0.0511

(0.0383,0.0653)

Female

 SO2(μg/m3)

0.0018

(-0.0014,0.0071)

 UR (%)

0.1786

(0.1582,0.2102)

 LINA (per 1000 persons)

0.1555

(0.0968,0.1958)

People aged 0–29

 SO2(μg/m3)

0.0046

(0.0018,0.0080)

 UR (%)

0.3653

(0.3379,0.4493)

 LINA (per 1000 persons)

0.0962

(0.0171,0.1505)

People aged 30–44

 SO2(μg/m3)

0.0043

(-0.0017,0.0088)

 UR (%)

-0.5061

(-0.5258,-0.4832)

 LINA (per 1000 persons)

0.1261

(0.0801,0.1604)

People aged 45–59

 SO2(μg/m3)

-0.0017

(-0.0061,0.0050)

 UR (%)

-0.3583

(-0.4074,-0.3164)

 LINA (per 1000 persons)

0.0657

(0.0153,0.1221)

60-Crowd

 SO2(μg/m3)

0.0030

(-0.0011,0.0068)

 UR (%)

-0.2108

(-0.2626,-0.1818)

 LINA (per 1000 persons)

0.1744

(0.1476,0.2139)

  1. Abbreviations: UR urbanization rate, LINA low‑income group in nonagriculturalhouseholds