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Fig. 6 | International Journal of Health Geographics

Fig. 6

From: A multimethod approach for county-scale geospatial analysis of emerging infectious diseases: a cross-sectional case study of COVID-19 incidence in Germany

Fig. 6

Partial Dependence Plots (PDP) of the 10 most prevalent variables in the final Bayesian Additive Regression Tree (BART) model. Histograms are shown for the entire country (green), for only the low rates region (LRR, teal), and for only the high rates region (HRR, purple). The PDPs indicate marginal changes in the predicted (log-transformed, age-adjusted) incidence rate per 100,000 residents (upper y-axis) for different values of each independent variable (x-axis)

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