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Caitlin Yeaton Rivers edited Case tree plots.tex
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\subsection*{Case tree plots}
Case tree plots depict
the emergence and growth of clusters of disease over time.
Placement along the x-axis corresponds with the date of illness onset for the case. When the onset date is not known, diagnosis date may be used instead. The y-axis value represents the Each case
generation. is represented by a colored node. Nodes
at generation 1 are human cases acquired from an animal source. If that
infected human passes the disease to two other humans, those two subsequent cases share an epidemiological link are
plotted at generation 2, and connected
to by an edge. The meaning of the
node color of
origin the node varies based on the node attribute chosen by
edges. Cases that do not belong the plot creator. In many cases, color simply signifies membership to a
cluster are represented as independent nodes on human to human cluster. However, it could also represent health status (e.g. alive, dead), the
plot. sex of the patient, or any other categorical attribute.
The meaning of Node placement along the
color x-axis corresponds with the date of
illness onset for the
node varies based on case. When the
node attribute. In many cases, color simply signifies membership to a onset date is not known, diagnosis date may be used instead. The y-axis value represents the case generation. Nodes at generation 1 are human
to cases acquired from an animal source. If that infected human
cluster. However, it could also represent health status (e.g. alive, dead), the sex of passes the
patient, or any disease to two other
categorical attribute. humans, those two subsequent cases are plotted at generation 2. Cases that do not belong to a cluster are not represented on the plot.
To generate a case tree plot, users provide a line listing with, at minimum: unique case identifiers, the date of illness onset (or the date the illness was reported, if onset date is not available), and cluster membership, as seen in table~\ref{tab:linelist}. Any additional relevant variables like patient age and sex may also be included.