Table 3. Model fit characteristics of the generalized additive model.
The intercept for the model represents the odds of PM2.5 concentrations exceeding 1000 μg/m3 in households with two or fewer external windows or doors that do not burn biomass and do not use kerosene and therefore have no household source of particulates. The coefficient values are the exponentiated estimates from the final model and represent the mean odds ratio that PM2.5 concentrations exceed 1000 μg/m3.
| Covariate | Estimate | p-value |
|---|---|---|
| Intercept | 0.01 | <0.001 |
| Principally use biomass | 2.0 | <0.001 |
| More than two windows – biomass users | 0.8 | 0.23 |
| More than two windows – clean fuel users | 1.1 | 0.85 |
| Any use of kerosene | 1.4 | 0.01 |