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MappyHealth.com
“Following disease trends, 140 characters at a time”

#NowTrending2012 Contest Submission


Developed By: Brian Norris, Charles Boicey, Mark Silverberg
Access the application at http://entry.mappyhealth.com
Our Story
• MappyHealth.com was born from social collaboration
    when co-founders Mark Silverberg and Brian Norris
    connected over a single tweet
•   Our team is diverse with informatics, development, and
    research experience
•   We began our work in response to the need for population
    health awareness
•   Developed under a common goal of furthering innovation,
    research and population health awareness of disease and
    illness trends
•   We began development April 2012 and have not stopped!
•   For more about our team and our story check out our
    about us page in the MappyHealth app
                                                   ©MappyHealth.com
How our App Works




                     Mappy
       Term Match    Tech.
        Filtration   Stack




                             ©MappyHealth.com
Technical Stuff
                        Provides real time stream of
                        tweets associated with our
Twitter Streaming API   conditions and terms



   Amazon EC2           Instantly Scalable to Demand
     Cloud              High Reliability




                        Built on an open source
     MappyHealth        platform utilizing MongoDB,
                        Map Reduce, JSON and other
      Ecosystem         technologies

                                          ©MappyHealth.com
Key Features
• MappyHealth ecosystem built entirely on an open source
 platform running on the Amazon EC2 Cloud
• Tracks 25 Conditions made up of 223 associated health terms
 (many of these are diseases)
• Various trend views via graphical interfaces
• Ability to drill down to data graphically on the hour
• Trend matching of conditions and terms with qualifiers for
 deeper level analysis
• Geo-location and profile location map view
• Ability to print, export, or copy datasets (using save as like
 functionality) associated with trends for deeper analysis form
 the user interface
• Works on any platform natively including mobile devices

                                                           ©MappyHealth.com
How We Meet The NowTrending2012
Contest Requirements




And Much More   ..           ©MappyHealth.com
What we have found so far
• Each condition and term has a pattern of regular activity
    we call the “social noise”
•   Spikes (or higher volume) outside of this band can be
    attributed to events
•   Since April 30th we have several examples of events and
    spikes (shown in the following slides)
•   Tracked abnormal events (spikes) both positive and
    negative
•   We have the ability to capture data beyond 0.00001 % of
    total twitter daily volumes (assumes 250 Millions tweets
    per day)
•   We have seen events (spikes) in the United States,
    Europe, South America and Malaysia
                                                    ©MappyHealth.com
Example: Pertussis and Whooping Cough
                                              •   Spike in Whooping Cough
                                                  Tweets associated with
                                                  Pertussis
                                              •   Spike due to Idaho Infant
                                                  that died of Whooping
                                                  Cough
                                              •   71% of tweets over the two
                                                  hour spike associated with
                                                  this event (202/284)

Social Noise Zone                             •   Represents a 116% spike
                                                  over the last two hours
                                              •   Social noise zone 0 – 25
                                                  tweets per hour.
                                                  Represents a 468%
                                                  increase over the high-end
                                                  of this zone

  Check out our FAQ page for more examples!                 ©MappyHealth.com
NowTrending – Trends Dashboard &
Main Page




                               ©MappyHealth.com
NowTrending - Condition views




                                ©MappyHealth.com

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MappyHealth - Monitoring disease trends, 140 characters at a time -#NowTrending2012 Challenge

  • 1. MappyHealth.com “Following disease trends, 140 characters at a time” #NowTrending2012 Contest Submission Developed By: Brian Norris, Charles Boicey, Mark Silverberg Access the application at http://entry.mappyhealth.com
  • 2. Our Story • MappyHealth.com was born from social collaboration when co-founders Mark Silverberg and Brian Norris connected over a single tweet • Our team is diverse with informatics, development, and research experience • We began our work in response to the need for population health awareness • Developed under a common goal of furthering innovation, research and population health awareness of disease and illness trends • We began development April 2012 and have not stopped! • For more about our team and our story check out our about us page in the MappyHealth app ©MappyHealth.com
  • 3. How our App Works Mappy Term Match Tech. Filtration Stack ©MappyHealth.com
  • 4. Technical Stuff Provides real time stream of tweets associated with our Twitter Streaming API conditions and terms Amazon EC2 Instantly Scalable to Demand Cloud High Reliability Built on an open source MappyHealth platform utilizing MongoDB, Map Reduce, JSON and other Ecosystem technologies ©MappyHealth.com
  • 5. Key Features • MappyHealth ecosystem built entirely on an open source platform running on the Amazon EC2 Cloud • Tracks 25 Conditions made up of 223 associated health terms (many of these are diseases) • Various trend views via graphical interfaces • Ability to drill down to data graphically on the hour • Trend matching of conditions and terms with qualifiers for deeper level analysis • Geo-location and profile location map view • Ability to print, export, or copy datasets (using save as like functionality) associated with trends for deeper analysis form the user interface • Works on any platform natively including mobile devices ©MappyHealth.com
  • 6. How We Meet The NowTrending2012 Contest Requirements And Much More .. ©MappyHealth.com
  • 7. What we have found so far • Each condition and term has a pattern of regular activity we call the “social noise” • Spikes (or higher volume) outside of this band can be attributed to events • Since April 30th we have several examples of events and spikes (shown in the following slides) • Tracked abnormal events (spikes) both positive and negative • We have the ability to capture data beyond 0.00001 % of total twitter daily volumes (assumes 250 Millions tweets per day) • We have seen events (spikes) in the United States, Europe, South America and Malaysia ©MappyHealth.com
  • 8. Example: Pertussis and Whooping Cough • Spike in Whooping Cough Tweets associated with Pertussis • Spike due to Idaho Infant that died of Whooping Cough • 71% of tweets over the two hour spike associated with this event (202/284) Social Noise Zone • Represents a 116% spike over the last two hours • Social noise zone 0 – 25 tweets per hour. Represents a 468% increase over the high-end of this zone Check out our FAQ page for more examples! ©MappyHealth.com
  • 9. NowTrending – Trends Dashboard & Main Page ©MappyHealth.com
  • 10. NowTrending - Condition views ©MappyHealth.com