Fig. 4: Estimate of the number of introduction events into Milwaukee and Dane county and their relative contribution to downstream epidemic dynamics.
From: Revealing fine-scale spatiotemporal differences in SARS-CoV-2 introduction and spread
a Maximum likelihood (ML) time-resolved tree, supported by 1000 bootstrap replicates, with subsampled global sequences and closest phylogenetic neighbors’ relatives included (gray branches). Sequences from Dane and Milwaukee counties are highlighted in red and blue, respectively. Sequences with geolocation information available to the state level, or that are located outside of Dane and Milwaukee counties (i.e. La Crosse) are shown in purple. b Estimated cumulative number of introduction events into each county (derived using 100 bootstrap replicate trees). c Gaussian Kernel Density Estimate plots showing the estimated timing of each introduction event (three curves per replicate: mean and 90% confidence intervals) into Dane county (red) or Milwaukee county (blue). The relative number of samples from each region attributable to an introduction event is represented on the y axis. Curves are normalized to a cumulative density of one; therefore, y axis scale is not shown. Source data to replicate this figure can be found in the Source Data file.
