  Epidemiological geographic profiling is a statistical method for making
inferences about likely areas of a source from the geographical distribution of
patients. Epidemiological geographic profiling algorithms are developed to
locate a source from the dataset on the number of new cases for a
meta-population network model. It is found from the WHO dataset on the SARS
outbreak that Hong Kong remains the most likely source throughout the period of
observation. This reasoning is pertinent under the restricted circumstance that
the number of reported probable cases in China was missing, unreliable, and
incomprehensive. It may also imply that globally connected Hong Kong was more
influential as a spreader than China. Singapore, Taiwan, Canada, and the United
States follow Hong Kong in the likeliness ranking list.
