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Center for Computational Analysis of Social and Organizational Systems Dynamic Network Approach to Health Surveillance Prof.

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Presentation on theme: "Center for Computational Analysis of Social and Organizational Systems Dynamic Network Approach to Health Surveillance Prof."— Presentation transcript:

1 Center for Computational Analysis of Social and Organizational Systems http://www.casos.cs.cmu.edu/ Dynamic Network Approach to Health Surveillance Prof. Kathleen M. Carley kathleen.carley@cs.cmu.edu

2 Copyright © 2013 CASOS, ISR, CMU – Kathleen M. Carley - DirectorMarch 2013 2 Early Warning and Disease Mapping Understanding the general state of health in a community is critical for rapid and effective response –Disaster Response –Early Indicators –Forecasting Various types of sensors are often used to provide early indications of medical conditions –water usage –OTC drug purchases

3 Copyright © 2013 CASOS, ISR, CMU – Kathleen M. Carley - DirectorMarch 2013 3 Bio-War Features Input –Census data – social and organizational –School district data –Worksite and entertainment locations & size –Hospitals and clinics locations & size –Social Network characteristics from census –IT communication procedures & access –Wind characteristics –Spatial layout of city –Disease models Influenza, small pox, anthrax, … Illustrative Output –Over the counter drug sales –Insurance claim reports (Dr. visits) –Emergency room reports –Absenteeism (school and work) –Web access and medical phone calls –In-house questionnaires Agents move in networks which influence what they do, where, with whom, and what they know, what diseases they get, when, how they respond to them, etc. Major difference in network and disease effects based on race, gender and age.

4 Copyright © 2013 CASOS, ISR, CMU – Kathleen M. Carley - DirectorMarch 2013 4 Networks & Cyber networks

5 Copyright © 2013 CASOS, ISR, CMU – Kathleen M. Carley - DirectorMarch 2013 5 haiti.ushahidi.com Earthquake Jan 12, 2010 2,471 reports posted as of Feb 7, 2010 6 categories of classification –Over 25 subcategories Text, pictures, & video Where do first responders start? 12 Jan 2010 photo posted to http://haiti.ushahid.com http://haiti.ushahid.com

6 Copyright © 2013 CASOS, ISR, CMU – Kathleen M. Carley - DirectorMarch 2013 6 Haiti Semantic Network (9 or more tweets) HELP

7 Copyright © 2013 CASOS, ISR, CMU – Kathleen M. Carley - DirectorMarch 2013 7 Density Medical Categories in Ushahidi Over Time

8 Copyright © 2013 CASOS, ISR, CMU – Kathleen M. Carley - DirectorMarch 2013 8 Influenza – The “Gold” Standard Typical data sources –Viral Surveillance (specimens) –Mortallity –Influenza associated pediatric deaths –Influenza associated hospitalization –Outpatient illness (office/clinic visits) http://www.cdc.gov/flu/weekly/

9 Copyright © 2013 CASOS, ISR, CMU – Kathleen M. Carley - DirectorMarch 2013 9 Google Flu Trends http://www.google.com/publicdata http://www.google.org/projects.html United States Flu Activity Influenza estimate Google Flu Trends estimate United States data Typical data sources Country provided data Search term based hits

10 Copyright © 2013 CASOS, ISR, CMU – Kathleen M. Carley - DirectorMarch 2013 10 News And Tweets Approximately 4-5 day lead

11 Copyright © 2013 CASOS, ISR, CMU – Kathleen M. Carley - DirectorMarch 2013 11 Key Lessons Some medical information in social media – but inconsistent Key challenges –Operate at the symptom level … and many things look like flu –Data cleaning to improve signal –Identifiers for other than flu and disaster related medical needs –Geospatial tracking –Integration across media –Volatile state of social media Country specific social media technologies Change in usage Change in technology Future direction –Linking demographics and medical information –Auto-instantiation of simulation for forecasting


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