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09 Clark Freifeld -- igbos j_
 

09 Clark Freifeld -- igbos j_

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HealthMap: Automated disease outbreak monitoring

HealthMap: Automated disease outbreak monitoring

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  • Surveillance sans frontières: Internet-based emerging infectious disease intelligence

09 Clark Freifeld -- igbos j_ 09 Clark Freifeld -- igbos j_ Presentation Transcript

  • Disease Outbreak Monitoring on the Web Clark Freifeld Research Software Developer Harvard Medical School Children’s Hospital Informatics Program
  • www.healthmap.org
  •  
  • HealthMap Article Processing Acquisition >20,000 sites Every hour; 24/7 Clustering Text Matching Similarity Score Categorization 1700 disease patterns 5000 location patterns Bayesian Filtering 6 million phrases 91% accuracy
  • Multi-Stream Alarming: Heat Index
    • Meta-alert composite score, based on
      • Number of sources providing information at a particular location
      • Recentness of alert
    • Marker algorithm
      • Exponentially weighted alerts
      • Increase heat (redness) for more recent event and higher impact
    low high Freifeld et al. J Am Med Informatics Assn. 2008.
  • Limitations of English-language
    • Alerts by country
      • 1-USA: 4351
      • 2-UK: 1018
      • 3-Canada: 880
      • 4-China:737
  • English
  • Spanish
  • French
  • Russian
  • Case Study: Legionnaire’s in Spain June 30th Google (ES) Alert Alert #1 July 2nd ProMED-mail Alert Alert #2 July 4th Google (EN) Alert Alert #3
  • Early Stats
    • > 200 alerts per day
    • 80,000 alerts so far
    • Alerts in 201 countries
    • 175 disease categories
    • 4 four languages
      • English (60%)
      • Spanish (20%)
      • French (11%)
      • Russian (9%)
  • Usage
    • 500-600 visits per day
    • 100,000 unique visitors since 9/06 launch
    • Top visitors:
      • cdc.gov
      • dhs.gov
      • med.navy.mil, af.mil
      • state.fl.us
      • state.id.us
  • Public Health Resource
  • Various implementations International Society for Infectious Disease Liberty Science Museum, NYC HHS Command Center
  • Tool for general population
  • Future Directions
    • Improve existing filtering algorithms
    • More sensitive, noisy sources
    • More filters: number of cases, species affected
    • More languages
    • Collaborative networks
    • Other areas:
      • Environmental health
      • Chronic disease
      • Violence, conflict zones
      • Pharmaceuticals
    • Your ideas
  • Acknowledgments
    • Children’s Hospital Informatics Program
    • @ Harvard-MIT HST
    • John Brownstein, PhD
    • Ken Mandl, MD MPH
    • Ben Reis, PhD
    • Mikaela Keller, PhD
    • Isaac Kohane, MD PhD
    • Carlo Venis (Wabash)
    • Roger Araujo (Peru NMRCD)
    • David Blazes (Peru NMRCD)
    • Aranka Anema (UBC)
    • Larry Madoff (ProMED)
    • Funding
    • Google Foundation
    • National Library of Medicine (NLM)
    • Centers for Disease Control and Prevention
    • Canadian Institutes of Health Research (CIHR)
  • Contact
    • [email_address]
    • www.healthmap.org
    • www.chip.org