The ''One Health'' Initiative: Using open source data for disease surveillance

摘要

Background: We have created a self-organizing ontology that allows us to organize and filter external data by relating email exchanges through their references into “reference-connected sets”. These sets of messages can be generated dynamically and constructed in real-time to identify subject categories (e.g. disease outbreaks) as they evolve. This allows the filtering of less important information into sets of messages that uniquely identify events so the user is not overwhelmed with irrelevant information.