Max MacClure and Maria present a model that directly links theoretical entomological risk at the patch scale to larger-scale epidemiological data. They evaluated its predictions for relative LD risk in artificial landscapes with varying composition and configuration, and tested its ability to predict countywide LDI in a 12-county region of New York. On simulated landscapes, they found that the model predicts a unimodal relationship between LD incidence and forest cover, mean patch size, and mean minimum distance (a measure of isolation), and a protective effect for percolation probability (a measure of connectivity). In New York, risk indices generated by this model are significantly related to countywide LDI. The results suggest that the lack of concordance between entomological risk and LDI may be partially resolved by this style of model.