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This document summarizes how online data sources like search queries and social media posts can be used to track disease outbreaks and epidemics in real time. It provides examples of how Google Flu Trends and Google Dengue Trends use search data from 28 countries and 39 languages to monitor influenza and dengue fever trends. It also discusses other tools like HealthMap that track outbreaks by crawling online news sources and social media. While these new approaches show promise, the document notes they still have limitations like uneven internet access and a lack of verified truth data.

TechnologyBusiness
1 of 15
Disease Surveillance 2.0 Vikram Sahai Software Engineer, Google Medicine 2.0 Stanford The Interconnected Life September 16, 2011
People search when they're sick ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
  BBC - The Code
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
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 Vikram Sahai, Corrie Conrad (Google) Emily Chan, John Brownstein (Children's Hospital, Boston)
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 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Limitations of Online Info Sources ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Have Data? Will Model
Thank you!

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5-pln-1341-Sahai

Editor's Notes

  1. Quick stats on global burden and delayed reporting
  2. Quick stats on global burden and delayed reporting
  3. Tell Mexico anecdote
  4. Reference new H1N1 article just published
  5. 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.
  6. 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.
  7. 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.
  8. 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.