Official google.org Blog: Google Flu Trends in 121 U.S. cities
Tuesday, January 12, 2010
Official google.org Blog: Google Flu Trends in 121 U.S. cities
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Taha Kass-Hout, MD, MS
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Monday, June 1, 2009
2009, AMIA Spring Congress
Last week, I presented Evolve; InSTEDD's Global Early Warning and Response System, at the 2009, American Medical Informatics Association (AMIA) Spring Congress. The conference took place at the Walt Disney World Swan, May 28th–30th, in Orlando, Florida, USA. Here is the presentation:
- Influenza A(H1N1) Media Hype: Mid-March 2009 thru May 19, 2009
- Tracking A(H1N1) using Evolve
- Low volume Evolve announcements on Twitter
- Extremely Affordable Health Innovations
- MBDS ICT and Technology Forum
- Best Poster Award for Improving Public Health Investigation and Response at the Seventh Annual International Society for Disease Surveillance Conference
- Collaborative Analytics and Environment for Linking Early Event Detection to an Effective Response
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Taha Kass-Hout, MD, MS
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Labels: A(H1N1) , Biosurveillance , Collaboration , Conference , Evolve , Informatics , InSTEDD , MBDS , MCP , Mekong Basin Disease Surveillance , Mobile , Programs , Projects , Technology
Friday, May 22, 2009
Influenza A(H1N1) Media Hype: Mid-March 2009 thru May 19, 2009
Data source: A(H1N1) Evolve Collaborative Workspace
Note: Tag cloud was created on Many Eyes © IBM
Note: Tag cloud was created on Many Eyes © IBM
Note: Map was created on Many Eyes © IBM
Related Links:
- Tracking A(H1N1) using Evolve
- Low volume Evolve announcements on Twitter
- Extremely Affordable Health Innovations
- MBDS ICT and Technology Forum
- Best Poster Award for Improving Public Health Investigation and Response at the Seventh Annual International Society for Disease Surveillance Conference
- Collaborative Analytics and Environment for Linking Early Event Detection to an Effective Response
Posted by
Taha Kass-Hout, MD, MS
at
12:56 AM
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Labels: A(H1N1) , Biosurveillance , Collaboration , Disease Detection , Early Response , Evolve , Media , Pandemic , Programs , Public Health , Swine Flu , Technology
Saturday, May 16, 2009
Oswego in the Cloud: Demo with US CDC to Synchronize Epi Info™ Data Using Mesh4x
Enrique Nieves Jr (Acting Director, Division of Integrated Surveillance Systems and Services (DISSS), CDC, NCPHI) and Jay Jones describe a Mesh4x demonstration we did with US CDC to "...synchronize data using Epi Info™". You can see their recent publication in the PanAfrican Medical Journal titled: Epi Info™: Now an Open-source application that continues a long and productive “life” through CDC support and funding.
Related Links:
- Epi Info™ and Mesh4x Prototype Demonstration with US CDC
- Empowering Epidemiologists to Share Information, Anytime, Anywhere: Epi Info™ and Mesh4x
- Epi Info™ current website on CDC.gov (available for download Epi Info™ 3.5.1 (last accessed May 16th, 2009))
- Epi Info™ Friends Group on Google
- InSTEDD Mesh4X
Posted by
Taha Kass-Hout, MD, MS
at
5:31 PM
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Labels: Biosurveillance , CDC , Epi Info™ , Epidemiology , Mesh , Mesh4X , Synchronization
Friday, May 15, 2009
Tracking A(H1N1) using Riff
Last week, InSTEDD's CEO; Dr. Eric Rasmussen, blogged about the Riff workspace we stood up earlier to further aid experts and responders collaborating around emerging reports related to the 2009 A(H1N1) pandemic influenza. To-date, there's been massive news coverage around the event, but in order to make sense of it all, a group of experts (with a backgrounds in public health, international relations, diplomacy, social work, and emergency response) volunteered their time to collaborate around the various streams of information (listed below).
One by-product of this ongoing effort is that the information is appropriately tagged and geo-located. The A(H1N1) workspace allows you to subscribe to all the information or to a filter of your own. The tags include information beyond just a disease category, symptom, or syndrome, but we also tried to capture other important information; such as policy issues (e.g., vaccination, school closure, travel advisory, etc.). However, our primary goal is not to become another information source, rather to be able to provide a good situational awareness of the event in order to respond effectively. We are trying to address the following problems that are inherent in the current early detection systems:
- Classic problem: too much data, not enough information. Why aren’t the key indicators noticed earlier?
- Noisy data—low reliability—
- Need to keep the human in the loop (a lot of this is still an art).
- Sources not always obvious - we saw emerging sources of information, like the citizen reporting over a Google map (in the past much attention was paid to sources like Internet search queries (e.g., Eysenbach, Ginsberg, Polgreen, Hulth, and Cooper), over the counter medications sales (e.g., Wagner/RODS Lab), absenteeism (e.g., Wagner/RODS Lab), as opposed to ER chief complaints or routine disease surveillance hierarchical systems).
- Threat profile keeps changing- is not known for something like a SARS/SARI (e.g., Swine Flu or other things like it).
- Political and Organizational Boundaries (Note that we weren't able to perfectly communicate the first indications of SARS, or the outbreaks of H5N1 in China, and we saw that happen again with the H1N1 Swine outbreak).
- Need to set up the need for shared collaboration spaces and geographic distribution. Not only do we need human experts in the loop, but they need to share the hunches and concerns. Discussion needs to identify communities of interest. Different specialists are involved based on the nature of the threat.
I particularly applaud the effort by HealthMappers (Dr. Brownstein, et al) for quickly putting together an A(H1N1) mashup (or the New England Journal of Medicine HealthMap) which tracks the cases (confirmed, suspect, dead, or ruled out) alongside with the informal sources that HealthMap continuously monitors and moderates. HealthMap and BioCaster also setup moderated tweets on Twitter that are timely, reliable and of high quality.
Information Sources:
- EISS Weekly Electronic Bulletin
- Canada - FluWatch
- USA - Centers for Disease Control and Prevention - FluView
- Health Information for International Travel The Yellow Book
- Moreover Public Health News
- BBC Outbreak News
- WHO Outbreak News
- CDC Flu Updates
- WHO Latest news on the avian influenza situation in humans around the world
- EID Podcasts
- EID Journal
- Recent Outbreaks and Incidents
- CDC Emergency Preparedness & Response
- Google Outbreak News
- Flu Stop with CDC
- ProMED Mail (including ProMED MBDS)
- FDA Twitter Feed
- CDC MMWR
- Eurosurveillance
- Clinician Outreach and Communication Activity
- Y! Health Cold & Flu News
- CNN Health News
- VitalStats
- HEDDS Surveillance News
- CDC en EspaƱol
- Public Health Matters
- WDIN Disease Map Digest
- CDC Travel Notices
- Citizen reporting using Google Map
- Various Twitter feeds (including HealthMap, BioCaster, EpiSpider, and Veratect)
- Google Insights for Search
The Challenge Ahead:
While all this is important, I'd like to emphasize the fact that the best data is still coming from old-fashioned shoe leather epidemiology. We have to be true to ourselves and remember that, with all the information, new tools, open networks of collaborators, etc., we still missed the early indication(s) of the A(H1N1) outbreak. I remember when I was in the trenches of SARS back in 2003, we didn't have the breadth and depth of the information nor the tools we currently have. This calls for an action to rethink our strategies around early detection especially for emerging infectious diseases...
Related Links:
- Low volume Riff announcements on Twitter
- Extremely Affordable Health Innovations
- MBDS ICT and Technology Forum
- Best Poster Award for Improving Public Health Investigation and Response at the Seventh Annual International Society for Disease Surveillance Conference
- Collaborative Analytics and Environment for Linking Early Event Detection to an Effective Response
Posted by
Taha Kass-Hout, MD, MS
at
12:44 AM
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Labels: A(H1N1) , Collaboration , Epidemiology , Evolve , Open Model , Open Souce , Pandemic , Programs , Projects , Technology
Thursday, May 14, 2009
Extremely Affordable Health Innovations
Nico and I presented Evolve at the “Extremely Affordable Health Innovations”; A Grameen Health initiative in collaboration with World Health Care Congress (WHCC), which took place on April 14th-16th, 2009 in Washington D.C. The winners, by category and overall, are listed here. We won the best poster in the Community Monitoring category. The poster will be on display again on May 131h-141h, 2009 at WHCC Europe in Brussels, Belgium.
Evolve: InSTEDD's Global Early Warning and Response SystemView more presentations from Taha Kass-hout.
Related Links:
- Low volume Evolve announcements on Twitter
- Extremely Affordable Health Innovations
- MBDS ICT and Technology Forum
- Best Poster Award for Improving Public Health Investigation and Response at the Seventh Annual International Society for Disease Surveillance Conference
- Collaborative Analytics and Environment for Linking Early Event Detection to an Effective Response
Posted by
Taha Kass-Hout, MD, MS
at
11:27 PM
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Labels: Biosurveillance , Disease Detection , Evolve , Informatics , Programs , Projects , Social Networking , Technology , Web 2.0
MBDS ICT and Technology Forum
I presented the following at the Mekong Basin Disease Surveillance (MBDS), Information Communication and Technology Forum which took place April 2nd–3rd, 2009 in Mukdahan Province, Thailand.
I. ICT Developments in Mobile Technology for Global Public Health: InSTEDD Collaboration Tools
III. MBDS SE Asia Collaborative Early Warning & Response workspace (using Evolve)
Posted by
Taha Kass-Hout, MD, MS
at
3:16 PM
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Labels: Cross-Border , Evolve , Geochat , Informatics , Outbreak , Programs , Projects , Simulation , Social Networking , Technology

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