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T6 Theory and Practice of Outbreak Detection SOFTWARE

T6 Theory and Practice of Outbreak Detection SOFTWARE. AMIA Annual Meeting Saturday, November 8, 2003 8:00 - 4:30 pm. Available (or needed) Software. Syndromic Case reporting Case investigation Algorithms …. Available Syndromic. RODS Open Source National Retail Data Monitor

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T6 Theory and Practice of Outbreak Detection SOFTWARE

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  1. T6 Theory and Practice of Outbreak Detection SOFTWARE AMIA Annual MeetingSaturday, November 8, 2003 8:00 - 4:30 pm

  2. Available (or needed) Software • Syndromic • Case reporting • Case investigation • Algorithms • …

  3. Available Syndromic • RODS Open Source • National Retail Data Monitor • ESSENCE II • Biosense (will be discussed by John Loonsk) • LEADERS and other vendor products

  4. RODS Open Source Project • What is open source? • Why open source? One word  Linux (and freedom from monopolistic practices) Also, open source may catalyze rapid growth of a critical mass of • Software developers • Consultants and companies that install and maintain • Users • What does the software do? • Syndromic surveillance following PHIN standards • Collects and analyzes multiple data types e.g., OTC and clinical http://openrods.sourceforge.net/

  5. Modular Design: Actual and Planned • For more information: • Talk to Jeremy Espino at the poster session or write him jue@cbmi.pitt.edu • Attend the developers meeting tonight (assemble at Jeremy’s poster) • Attend the developers meeting at the AMIA conference Nov. 8-12th • Check out openrods.sourceforge.net

  6. Available Case Reporting • Pennsylvania NEDSS (obtain from PA) • Other states? • CDC Base System (will be discussed by John Loonsk) • Vendor products (ITC???)

  7. Available Data Analysis • Algorithms • WSARE versions • Kulldorf Spatial Scan • Fast Spatial Scan • CDC Ears • SAS • ESRI

  8. Available Investigation • What is it: • Data collection • Form Generation • Analysis • EpiX • PA NEDSS system • Any others?

  9. Mini Panel on Futuristic Use Cases

  10. Future Large Scale Anthrax Detection Scenario • Surreptitious anthrax release • From analysis of routinely collected data including sensors, posterior probability rises above action threshold • Nurse call centers direct rapid review of electronic medical charts and talk with possible cases • Test and management decisions of front-line physicians shaped by decision support computers to

  11. Future SARS-like • How we will distinguish it from Influenza • How small a cluster will eventually be detectable? • From what data?

  12. Future HIV-like • HIV was detected by the confluence of high pentamidine sales, unusual cases and ??? • How in the future will we detect emerging diseases?

  13. Analysis/Characterization -Is it an emergency? -Quarantine? -Get more antibiotics? RESPONSES Additional data collection -”shoeleather” -microchip testing -decision support at the point-of-care Biosurveillance 2005: Maximally accelerated detection-response cycle First Hint of Trouble -statistical analysis of data -astute observer -definitive diagnosis of new or “terrorism” organism Wireless? Call centers doing the investigation? Doctors doing the investigation?

  14. Distributed Completion of Investigation Forms Automatically completed from data already collected (e.g., culture) Name:_____________ Address:___________ Age: ______________ Gender:____________ Maximum T:________ Vaccinations:_______ Culture results:_____ Contacts:__________ Food history:______ Travel history:_____ “ Trickle data entry opportunistically Expensive special data collection effort minimized

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