Non-climatic variables identified as important by the random forest model when the model with all covariates was run, and when a model without climate covariates was run (-C).

Model results are presented for human cases in those counties where mosquito surveillance data were collected, and for mosquito infection rates (MLE) at both the county and trap scales. Values in the table indicate the amount of unique variation explained by the variable using variance partitioning.