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We present on the anticipated contribution of social networking, machine learning and collaboration techniques to address public health events (e.g., an emerging infectious disease outbreak or a pandemic). We describe a hybrid (event-based and indicator-based) surveillance system (InSTEDD Riff) designed to streamline the collaboration between domain experts and machine learning algorithms for linking detection to an effective response. Presently, Riff and its associated modules are being piloted in the Mekong Basin region of Southeast Asia.
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Innovative Support to Emergencies, Diseases, and Disasters
Photo credit: IRMA (Integrated Risk Management for Africa)PHIN Conference
2009Hyatt Regency, Downtown AtlantaAug.30-Sept.3, Atlanta, Georgia, USA
Nicolás di TadaDirector of Platform
RIFF (a.k.a. EVOLVE)
Event-based ad-hoc unstructured reports issued by formal or informal sources
Indicator-based (number of cases, rates, proportion of strains…)
Health surveillance is a multi-field problem Humans Animal Environment Organisms Chemichals
Hybrid human and machine-learning
Collaborative and cross-disciplinary
Free, Open Source, modular
http://riff.instedd.org
Best Poster Award for Improving Public Health Investigation and Response at the Seventh Annual ISDS Conference, 2008http://kasshout.blogspot.com/2008/12/best-poster-award-for-improving-public.html
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Stars, comments, flags, locationStars, comments, flags, locationTags (automatic classification + humans)Tags (automatic classification + humans)
Related ItemsRelated Items
Tag CloudTag
Cloud
Locations Heatmap
Data source: A(H1N1) Evolve Collaborative Workspacehttp://riff.instedd.org/space/SwineFlu
Yin Myo Aye, MD: ProMED MBDSTaha Kass-Hout, MD, MS: InSTEDD
Tracking the recent Avian Influenza
Outbreak in Egypt (reports started to
appear late January 2009).
Tracking the recent Avian Influenza
Outbreak in Egypt (reports started to
appear late January 2009).
Data source: Africa Evolve Collaborative Workspacehttp://riff.instedd.org/space/AfricaAlerts
Current classifications includes: 7 syndromes 10 transmission modes > 100 infectious diseases > 180 micro-organisms > 140 symptoms > 50 chemicals
480 Registered users 394 collaboration spaces 694 registered input streams of
information 900.000 articles analyzed 443.151 geocoded positions 700 terms ‘trained’ on the geocoder by
human users 804 comments on items left by people 12.000+ tags added by human users
In ProgressOntologies (SNOMED, BioCaster, ICD)Event reporting, analysis and public
announcements (via Reuters)PlannedAPI for external extensions and interactionsFull support of structured dataAutomatic field data collection through
formsAnomaly detections
InSTEDD400 Hamilton Avenue, Suite 120
Palo Alto, CA 94301, USA
+1.650.353.4440
+1.877.650.4440 (toll-free in the US)
info@instedd.org
Nicolas di Tada
nditada@instedd.org
Cambodia, Photo taken by Taha Kass-Hout, October 2008
“this pic says it all- our kids are all the same- they deserve the same”, Comment by Robert Gregg on Facebook, October 2008
http://riff.instedd.org
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