EpiExegesis
Rapid visualization of mutual exposures among individual, individuals to groups, and group to group, and the total population.
Seattle
21
Views
Technologies Used
Basic: PythonAnaconda
Javascipt
Project Team
About
Discovery of epidemic patterns is extremely difficult because of the latency between cause and effect, the complexity of interactions between the agents, then prioritizing and evaluating the most significant parts. We provide a tool that finds 'hotspots' in time, space and groupings using a Mutual Exposure scoring to rank and compare the relative risks and allows slicing by agent, time, and place.
Comments
Sean A Ruggiero - 1413d
Could need a use case, even hypothetical, that better describes it. 2 minutes is short, so understandable. How does it use IBM or AWS?
Robert Hamblet - 1413d
Data collection that they need is too expensive. The business model will not support those costs.
Daniel Krook - 1413d