Table 1. Candidate predictor variables for model development.

Predictor Variable	Predictor Level	R
Minimum Elevation	2	−0.54
Maximum Elevation	2	−0.27
Mean Elevation	2	−0.45
Std. Dev. of Elevation	2	−0.16
Minimum Wetness Index	2	0.05
Maximum Wetness Index	2	0.19
Mean Wetness Index	2	0.27
Std. Dev. of Wetness Index	2	0.26
Proportion of Surface Water	2	0.23
Proportion of Wetland	2	0.24
Proportion of Forest	2	0.65
Proportion of Agriculture	2	0.2
Proportion of Urban Area	2	−0.6
Total Monthly Precipitation	1	N/A
Std. Dev. of Monthly Precipitation	1	N/A
Monthly Maximum Temperature	1	N/A
Monthly Minimum Temperature	1	N/A

Std. Dev. = Standard Deviation.

A predictor level of 1 means the variable is time-variant and 2 means the variable is time-invariant. The correlation coefficient (R) between total cases per locality and the level 2 predictor variables is shown in the last column.