<p>The first three panels represent three segments separately (A: HA, B: NA, C: PB2) and D represents the spatial transmission of all 8 segments jointly. The plotted lines represent the branches of the MCC trees for different segments, distinguished by color; the size of each circle represents the number of lineages with that location state. The map source for this figure was OpenStreetMap (<a href="http://www.openstreetmap.org/" target="_blank">http://www.openstreetmap.org/</a>). The spatial diffusions of other five segments (PB1, PA NP, M and NS) on the map are shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0107330#pone.0107330.s009" target="_blank">Figure S9</a>.</p
<p>Snapshots of the dispersal pattern for June of 2002, 2006, and 2008 are shown. The location-annot...
Emerging and re-emerging infectious diseases of zoonotic origin like highly pathogenic avian influen...
Bayesian space–time regression models are helpful tools to describe and predict the distribution of ...
<p>Lines between districts represent branches in the Bayesian MCC tree along which location transiti...
<p>The diffusion patterns were inferred through phylogenetic analyses of sequence samples derived fr...
<p>The phylogenetic analyses were performed with the samples of complete or near-complete 1D/VP1 gen...
<p>Lines between countries represent sequences in which transition location occurs, and were support...
Lines between departments and neighboring countries represent branches in the Bayesian MCC tree alon...
Lines between departments and neighboring countries represent branches in the Bayesian MCC tree alon...
We introduce a conceptual bridge between the previously unlinked fields of phylogenetics and mathema...
<p>The circle diameter is proportional to the number of isolates sampled in the locality. The low pa...
Source routes and Spatial Diffusion of capuchin monkeys over the past 6 million years, rebuilt in th...
<p>A) Temporal dynamics of spatial vvIBDV diffusion globally; only rates supported by a BF of >5 wer...
<p>Viral dispersal pattern between 1984 and 2009. Lines between locations represent branches in the ...
We introduce a conceptual bridge between the previously unlinked fields of phylogenetics and mathema...
<p>Snapshots of the dispersal pattern for June of 2002, 2006, and 2008 are shown. The location-annot...
Emerging and re-emerging infectious diseases of zoonotic origin like highly pathogenic avian influen...
Bayesian space–time regression models are helpful tools to describe and predict the distribution of ...
<p>Lines between districts represent branches in the Bayesian MCC tree along which location transiti...
<p>The diffusion patterns were inferred through phylogenetic analyses of sequence samples derived fr...
<p>The phylogenetic analyses were performed with the samples of complete or near-complete 1D/VP1 gen...
<p>Lines between countries represent sequences in which transition location occurs, and were support...
Lines between departments and neighboring countries represent branches in the Bayesian MCC tree alon...
Lines between departments and neighboring countries represent branches in the Bayesian MCC tree alon...
We introduce a conceptual bridge between the previously unlinked fields of phylogenetics and mathema...
<p>The circle diameter is proportional to the number of isolates sampled in the locality. The low pa...
Source routes and Spatial Diffusion of capuchin monkeys over the past 6 million years, rebuilt in th...
<p>A) Temporal dynamics of spatial vvIBDV diffusion globally; only rates supported by a BF of >5 wer...
<p>Viral dispersal pattern between 1984 and 2009. Lines between locations represent branches in the ...
We introduce a conceptual bridge between the previously unlinked fields of phylogenetics and mathema...
<p>Snapshots of the dispersal pattern for June of 2002, 2006, and 2008 are shown. The location-annot...
Emerging and re-emerging infectious diseases of zoonotic origin like highly pathogenic avian influen...
Bayesian space–time regression models are helpful tools to describe and predict the distribution of ...