Table 3. Parsimonious model of 2005 district-level JE incidence as a function of climate, agriculture and land-use.
Variable | β Coefficient† | S.E. | 95% Confidence Interval (β) | Probability | |
Intercept | 0.292 | 0.084 | 0.128 | 0.457 | <0.001 |
April- p | −0.032 | 0.009 | −0.051 | −0.014 | <0.001 |
Pig-human | 0.637 | 0.516 | −0.374 | 1.648 | 0.217 |
Pig-human2 | −6.053 | 3.856 | −13.610 | 1.505 | 0.117 |
Irrigated | 0.033 | 0.012 | 0.010 | 0.056 | 0.005 |
Grassland | −0.033 | 0.022 | −0.077 | 0.010 | 0.134 |
ρ | 0.689 | 0.086 | 0.520 | 0.859 | <0.001 |
R2 | 0.8122 | ||||
Adjusted R2 | 0.7986 | ||||
AIC | −89.933 |
p = mean precipitation, Irrigated = natural log of percentage of irrigated land per district, Pig-human = pig-to-human ratio, Grassland = natural log of percentage grassland cover per district, Rho ( ρ ) = spatial lag parameter.
S.E. = Standard error of â coefficient.
All regression β coefficients represent a non-linear increase (or decrease when the coefficient value is negative) in JE incidence when there is a 1-unit increase in each respective predictor variable.