Table 2

A multivariate Bayesian poisson regression model with spatially structured and spatially unstructured random effects for DR-TB in Hunan province, China, 2012–2018

VariablesSpatially unstructured modelSpatially structured modelBoth spatially structured and unstructured model
(RR (95%CrI)(RR (95%CrI)(RR (95%CrI)
Socioeconomic and demographic factors
 Proportion of male in a county0.96 (0.87 to 1.07)0.93 (0.82 to 1.07)0.96 (0.86 to 1.08)
 Percentage of urban residence in the counties1.09 (1.08 to 1.30)1.02 (1.01 to 1.20)1.04 (1.02 to 1.25)
GDP of the county (10 000 yuan per person per year)*1.01 (0.87 to 1.17)1.00 (0.87 to 1.15)1.01 (0.88 to 1.17)
Annual birth rate in the county (%)0.97 (0.85 to 1.12)1.00 (0.85 to 1.17)0.98 (0.85 to 1.15)
 Annual death rate in the county (%)1.01 (0.84 to 1.20)1.04 (0.88 to 1.23)1.02 (0.85 to 1.22)
Healthcare access
 Contraceptive use rate of the county (%)0.93 (0.82 to 1.05)0.97 (0.84 to 1.11)0.94 (0.83 to 1.08)
 No of institutions per 10 000 population in a county1.01 (0.86 to 1.19)0.94 (0.80 to 1.09)0.98 (0.83 to 1.16)
 No of medical personnel per 10 000 population in county0.89 (0.75 to 1.05)0.94 (0.80 to 1.09)0.91 (0.77 to 1.08)
Climatic factors
 Monthly average temperature (°C)1.13 (1.00 to 1.28)1.00 (0.85 to 1.18)1.08 (0.92 to 1.24)
 Annual total precipitation (mm)0.99 (0.85 to 1.14)1.08 (0.88 to 1.33)1.01 (0.85 to 1.23)
 Monthly sunshine hours (kJ/m2/day)1.15 (1.00 to 1.32)1.02 (0.80 to 1.26)1.11 (0.90 to 1.32)
Heterogenicity
 Variance of spatially unstructured random effect (σ2)4.56 (3.05 to 6.73)6.21 (3.47 to 72.77)
 Variance of spatial structured random effect (σ2)1.10 (0.73 to 1.64)6.39 (1.11 to 729.60)
 Intercept (alpha)−0.14 (−0.25 to −0.03)−0.12 (−0.19 to −0.06)−0.13 (−0.23 to −0.04)
 DIC689.9498.1603.2
  • *GDP (¥10 000 per person per year; ¥1=US$0.15).

  • CrI, credible interval; DIC, deviance information criterion; GDP, gross domestic product.