A Web Based Tool For the Detection and Analysis of Avian Influenza Outbreaks From Internet News Sources

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    A Web Based Tool For the Detection and Analysis of Avian Influenza Outbreaks From Internet News Sources - Presentation Transcript

    1. A Web Based Tool For the Detection and Analysis of Avian Influenza Outbreaks From Internet News Sources Ian Turton and Andrew Murdoch GeoVISTA Center Penn State University
    2. Flight?
    3. Summary
      • Who we are?
      • Why we did it?
      • What is Avian Flu?
      • What we did?
      • How we did it?
      • Did it work?
      • What will we do next?
    4. Who we are?
      • Ian
        • Senior Research Associate in GeoVISTA Center
        • E-Education Fellow in Dutton E-Education Institute.
      • Andrew
        • MGIS Student (graduated in Summer 2008)
        • GIS Developer at ArcBridge Consulting and Training
    5. What we did?
      • Andrew needed a project for Ian’s course on web mapping, and later for his capstone project (like a dissertation).
      • Ian had an interest in extracting geographic information from unstructured text.
      • Picked the spread of Avian Influenza and how to map it automatically from news reports.
    6. What is Avian Flu?
      • Avian flu or Bird flu is a virus
      • Most scary strain is H5N1 but there are many others.
      • ~60% death rate in humans.
      • Currently no (or very limited) human to human transmission.
      Picture by Quiplash ! CCbyA
    7. What we did?
      • Designed and built a system to automatically read internet news articles and map them for us so we could gain a better understanding of how avian flu is spreading on a day to day basis.
      • Set it running to see how it did
      • Tweaked it a bit as we saw how it worked
    8. How we did it?
      • Data sources
      • Data processing tools
      • GeoCoding tools
      • Web Mapping tools
        • Server
        • Client
    9. Data Sources
      • Official Avian Flu sites
        • WHO
        • PROMED
      • Internet News sites
        • Google News
        • Feedburner
      • Collected as RSS feeds
    10. Why does this work?
      • Media panic/interest leads to widespread reporting of any avian flu story.
      • Use of medical blogs like PROMED also helps overcome government restrictions on reporting.
      Pictures: ianstacey, quiplash, Incessantflux CCbyA
    11. What is RSS?
      • Really Simple Syndication
      • RDF Site Summary
      • A standardized XML file for passing information about web log (blog) updates.
      • You normally view RSS feeds in a feed reader
      • We wrote programs to read for us.
    12. Finding the geography
      • Step one extract the place names, named entity extraction
        • Custom tools
        • Reuters’ Calais system
        • MetaCarta
        • GeoNames.org
      • GeoCode the places, disambiguate London, Washington etc
        • Custom tools
        • MetaCarta
        • GeoNames.org
    13. Well that can’t be too hard?
    14. Web Mapping Server
      • Open Web Mapping Standards from the OGC (allows others to use our data).
      • Open Source tools (we’re a poor university).
      • Store the data points and news text in PostGIS (free spatial database).
      • GeoServer to serve maps from the DB to web (and desktop) clients.
    15. Mapping Client
      • Remember our end users are epidemiologists not GIS users so stick with a web browser as client.
      • OpenLayers (www.openlayers.org)
        • JavaScript library that implements the OGC WMS and WFS standards our server uses.
        • Allows rapid construction of an interactive web map by relative novice developers.
        • The finished map looks a lot like a Google map so users can use it easily.
    16. The Map Choice of background layers Choice of feeds http://www.experimental.geovista.psu.edu/andrew/html/avian_influenza_map.html
    17. Zoom and Pan
    18. Time Line
      • We are also interested in change over time.
      • Added SIMILE Timeline from MIT
        • JavaScript tool allows user to scroll through time or date stamped information
    19. Link to external pages
    20. Query the map
    21. Did it work?
      • Yes,
      • Well mostly,
      • Well some of the time!
      • We can take news feeds, geocode them and draw maps in a web browser.
    22. What didn’t work?
      • News sources and even medical feeds contain too many items that are about avian flu in a general sense but not actually about an outbreak.
        • Conferences about avian flu
        • Vaccine news
        • Reports of other influenza outbreaks
        • Reports of other infectious diseases (“unlike avian flu…”
    23. What will we do next?
      • Improved selection of RSS items
      • Bayesian classifier
        • Train on a selection of “good” and “bad” items
        • Allow user to rate articles
      • Non-negative matrix factorization
        • Clusters similar items based on word usage
        • Help overcome repeated reports
    24. What will we do next?
      • Continue to improve the GeoCoder
        • Better disambiguation algorithms.
        • Allow user to rate the accuracy of locations found in reports.
      • Improve User Interface
        • Better selection of points of interest using timeline
        • Replace SIMILE with custom time bar
    25. Conclusions
      • It is possible to construct an online automated system that can read news articles from professional and general news feeds and map them in a way that allows experts and members of the public to track the spread of avian flu outbreaks.
      • There is still much work that can be carried out to improve this work.

    + Penn State UniversityPenn State University, 2 years ago

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