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\section*{Results}  Case tree plots are produced using the epipy package for Python. All code is available on github.     The x axis represents time, and the y axis represents generation. Nodes along the x axis are cases from a zoonotic source. If that human were to pass the disease to two other humans, those two subsequent cases are both generation 2.     The meaning of the color of the node varies based on the node attribute. In many cases, color just signifies membership to a human to human cluster. However, it could also represent health status (e.g. alive, dead), the sex of the patient, etc.  To generate a case tree plot, users provide a line listing with, at minimum: case ids, date of illness onset, and cluster membership. Any additional variables like patient age and sex may also be included, as can cases belonging to a cluster may be included, though they will not be represented in the plot.   \begin{table} 
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Users must also provide the mean and standard deviation of the generation time between cases. The line listing need not specify the chain of transmission; epipy will estimate the chain based on the onset dates based on these values. The earliest case in an outbreak is assumed to be of zoonotic origin, and will be plotted as generation 1. Cases within one standard deviation of generation 1 will be identified as generation 2. Cases within one standard deviation of generation 2 will be plotted as generation 3, and so on.  The x axis is time, and the y axis is generation. Nodes along the x axis are index nodes. In the case of a zoonotic disease, the index node is a human case acquired from an animal source. If that human were to pass the disease to two other humans, those two subsequent cases are both generation 2.   The meaning of the color of the node varies based on the node attribute. In many cases, color just signifies membership to a human to human cluster. However, it could also represent health status (e.g. alive, dead), the sex of the patient, etc.