Disease Surveillance 2.0 Vikram Sahai Software Engineer, Google Medicine 2.0 Stanford The Interconnected Life September 16...
People search when they're sick <ul><li>Pew Internet Research (U.S. adults, 2010): </li></ul><ul><ul><li>     61%   --   g...
  BBC - The Code
Google Flu Trends References: Detecting Influenza Epidemics Using Search Engine Query Data Jeremy Ginsberg, Matthew Mohebb...
Flu Trends for 28 countries in 39 languages
What about pandemic flu? The Mexico story
And H1N1 spread…
Google Dengue Trends www.google.org/denguetrends References: Using Web Search Query Data to Monitor Dengue Epidemics Vikra...
Dengue Trends for 5 countries in 39 languages
What else could be?
Apps, Maps and Outbreaks near you...  HealthMap.org:  crawling informal and online news sources. Outbreaks Near Me
Social data streams and Sentiment <ul><li>Measuring Gross National Happiness: </li></ul><ul><li>Twitter data: </li></ul><u...
Limitations of Online Info Sources <ul><li>Reflect the demographics? </li></ul><ul><ul><li>Internet penetration </li></ul>...
Have Data? Will Model
Thank you!
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5-pln-1341-Sahai

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  • Quick stats on global burden and delayed reporting
  • Quick stats on global burden and delayed reporting
  • Tell Mexico anecdote
  • Reference new H1N1 article just published
  • We received many requests for other diseases…now anyone can test out their data and see what correlations arise. flu and dengue effect massive amounts of people with a seasonal pattern which helps filter out unrelated search noise.
  • We received many requests for other diseases…now anyone can test out their data and see what correlations arise. flu and dengue effect massive amounts of people with a seasonal pattern which helps filter out unrelated search noise.
  • We received many requests for other diseases…now anyone can test out their data and see what correlations arise. flu and dengue effect massive amounts of people with a seasonal pattern which helps filter out unrelated search noise.
  • We received many requests for other diseases…now anyone can test out their data and see what correlations arise. flu and dengue effect massive amounts of people with a seasonal pattern which helps filter out unrelated search noise.
  • 5-pln-1341-Sahai

    1. 1. Disease Surveillance 2.0 Vikram Sahai Software Engineer, Google Medicine 2.0 Stanford The Interconnected Life September 16, 2011
    2. 2. People search when they're sick <ul><li>Pew Internet Research (U.S. adults, 2010): </li></ul><ul><ul><li>     61%   --   get health information online </li></ul></ul><ul><ul><li>    62%   --   use social network sites </li></ul></ul><ul><ul><li>    60%   --   online info affected healthcare decision </li></ul></ul><ul><li>Wisdom of the online crowd? </li></ul><ul><ul><li>Can the cloud &quot;know&quot; about disease outbreaks? </li></ul></ul><ul><li>Infodemiology, Computational Epidemiology </li></ul>
    3. 3.   BBC - The Code
    4. 4. Google Flu Trends References: Detecting Influenza Epidemics Using Search Engine Query Data Jeremy Ginsberg, Matthew Mohebbi, Rajan Patel, Mark Smolinski, Larry Brilliant (Google) Lynnette Brammer (Centers for Disease Control and Prevention) www.google.org/flutrends
    5. 5. Flu Trends for 28 countries in 39 languages
    6. 6. What about pandemic flu? The Mexico story
    7. 7. And H1N1 spread…
    8. 8. Google Dengue Trends www.google.org/denguetrends References: Using Web Search Query Data to Monitor Dengue Epidemics Vikram Sahai, Corrie Conrad (Google) Emily Chan, John Brownstein (Children's Hospital, Boston)
    9. 9. Dengue Trends for 5 countries in 39 languages
    10. 10. What else could be?
    11. 11. Apps, Maps and Outbreaks near you...  HealthMap.org: crawling informal and online news sources. Outbreaks Near Me
    12. 12. Social data streams and Sentiment <ul><li>Measuring Gross National Happiness: </li></ul><ul><li>Twitter data: </li></ul><ul><ul><ul><li>H1N1 in the US (U. of Iowa) </li></ul></ul></ul><ul><ul><ul><li>Ailment Topic Model (Johns Hopkins) </li></ul></ul></ul><ul><ul><ul><li>Dengue tweets from Brazil (U. of Minas Gerais) </li></ul></ul></ul><ul><li>  </li></ul><ul><li>Kidney Stones' Seasonality (UCSF/Stanford) </li></ul>
    13. 13. Limitations of Online Info Sources <ul><li>Reflect the demographics? </li></ul><ul><ul><li>Internet penetration </li></ul></ul><ul><ul><li>Urban/rural population </li></ul></ul><ul><ul><li>Income disparity </li></ul></ul><ul><li>Search-based models: </li></ul><ul><ul><li>Celebrity/news effect </li></ul></ul><ul><ul><li>Unusual, scary outbreaks </li></ul></ul><ul><ul><li>Precise location of user </li></ul></ul><ul><li>Scarcity of truth data about actual outbreaks </li></ul>
    14. 14. Have Data? Will Model
    15. 15. Thank you!

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