Lyon, AidanGrossel, GeoffBurgmann, M ANunn, Mike2015-12-071366-9516http://hdl.handle.net/1885/27203Keywords: aquatic community; automation; biosafety; disease incidence; forecasting method; health monitoring; Internet; risk assessment; taxonomy; Australia; Australian Capital Territory; Canberra; Maryland; United States Aggregation; Aquatic animal health; Biosecurity; Crowdsourcing; Intelligence; Risk analysisUsing internet intelligence to manage biosecurity risks: a case study for aquatic animal health201310.1111/ddi.120572016-06-14