Using internet intelligence to manage biosecurity risks: a case study for aquatic animal health
Article first published online: 6 MAY 2013
© 2013 John Wiley & Sons Ltd
Diversity and Distributions
Special Issue: Risks, Decisions, and Biological Conservation
Volume 19, Issue 5-6, pages 640–650, May & June 2013
How to Cite
Lyon, A., Grossel, G., Burgman, M., Nunn, M. (2013), Using internet intelligence to manage biosecurity risks: a case study for aquatic animal health. Diversity and Distributions, 19: 640–650. doi: 10.1111/ddi.12057
- Issue published online: 6 MAY 2013
- Article first published online: 6 MAY 2013
- Australian Centre of Excellence for Risk Analysis
- Australian Government Department of Agriculture, Fisheries and Forestry
- aquatic animal health;
- risk analysis
AquaticHealth.net is an open-source aquatic biosecurity intelligence gathering and analysis application. The system collects information in much the same way as other similar systems (e.g. HealthMap, BioCaster). However, the information collected undergoes minimal automated analysis, and analysis is largely left to AquaticHealth.net's users. The result is an automated system of intelligence gathering, combined with a manual system of intelligence analysis. This approach relies on a large number of users, and so AquaticHealth.net relies on an open-intelligence analysis method: any user can publish their own analyses for all to see and analyse further. By combining automated data collection and human analysis, AquaticHealth.net will provide fast and accurate forecasts, accompanied with nuanced explanations. These methods can be applied to other areas of biosecurity and disease surveillance.
Canberra, Australia; College Park, Maryland, USA; Melbourne, Australia.
Automated: AquaticHealth.net performs hourly scans of an array of RSS feeds, blogs, social networks and news sites. It analyses this information and removes redundancies and applies taxonomy and geospatial tags. The information is then pushed to the Daily Scan, where users then analyse it further. Manual: Users assess the information for inaccuracies and its importance. They decide whether an article should be a disease alert, which is emailed to all users. Users can change tags, edit reports, add commentary, apply rankings, change search terms and summarize issues in the Emerging Issues blog (formerly a wiki).
AquaticHealth.net publishes seven daily reports and 2 weekly disease alerts (on average). Ninety per cent of CEFAS's (www.cefas.defra.gov.uk) Emerging Disease Updates cite AquaticHealth.net. The Australian Sub-Committee for Aquatic Animal Health (SCAAH) uses the system to compile quarterly reports. The Australian Department of Agriculture, Fisheries and Forestry (DAFF) uses AquaticHealth.net to make forecasts—for example, used aquaculture equipment is a high-risk pathway for OsHV. AquaticHealth.net's users forecasted an increase in emerging marine finfish disease outbreaks in Southeast Asia and are actively watching this issue.
AquaticHealth.net's open-intelligence approach has proven to be an effective and flexible biosecurity forecasting method.