Graphing Space and Time
Blog post from Neo4j
Michael Zelenetz, an analytics project leader at NewYork-Presbyterian Hospital, discussed the challenge of combining spatial and time data to understand hospital procedures, infections, and patient movements. He faced difficulties in graphing these two types of data together, but turned to graph databases, algorithms, and analytics to map out events in the hospital. Zelenetz proposes a model that combines time and space data by creating time trees and location trees, which are then connected with "time-place-space entities" representing visits at specific locations over time. This allows for advanced analysis on how diseases move around and who might be at risk.
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