Epidemic Intelligence from Open Sources (EIOS) Dr Philippe Barboza
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1 Epidemic Intelligence from Open Sources (EIOS) Dr Philippe Barboza Manager, Detection Verification and Risk Assessment WHO, Health Emergencies Programme
2 WHO Health Emergency WHE Prevent Prepare Detect Respond Recover May 2016 WHO Health Emergencies Programme (WHE) Fundamental changes, among other Detection of public health crises at centre of WHO activities Single approach across 3 WHO levels Health emergency information & risk assessment departments 2
3 Improving global epidemic intelligence respond input process - Comprehensive - Bring initiatives together - Expand input: - Volume of sources - Variety of sources - Velocity of sources - Improve assessment Disseminate epidemic intelligence detect - Accessible - Global, national and local use - Build capacity assess analyse verify - Collaborative - Bring people together - Facilitate communication - Form expert communities 3
4 WHO & Epidemic Intelligence milestones Collaboration WHO - Canada to develop GPHIN (Global Public Health Intelligence Network) Global Health Security Initiative endorses EAR (Early Alerting and Reporting platform) WHO European Commission develop HDRAS (Hazard Detection and Risk Assessment System) 4
5 Evidence based : need supra-system for a new EI initiative No super-system exists to pool expert systems' expertise World Health Emergencies Programme Created and more initiatives must be developed in this direction. Prevent, Prepare, Detect, Rapidly Respond and Recover Barboza P, Vaillant L, Mawudeku A, Nelson NP, Hartley DM, Madoff LC, et al. (2013) Evaluation of Epidemic Intelligence Systems Integrated in the Early Alerting and Reporting Project for the Detection of A/H5N1 Influenza Events. PLoS ONE8(3): e
6 EIOS conception 90s EAR (GHSI) HDRAS EIOS Goals Capitalize on existing Foster synergies Pool expertise Reduce duplication Increased adaptability 1 st Phase 2 nd Phase Integrated collaboration Roll out
7 The EIOS Initiative WHO leadership - WHE Mandate Minimise hazards impact through improved detection Strengthen global/national/subnational capacities Promote development of Event-Based surveillance Collaborative approach Close collaboration with external EBS expert Enable exchange of expertise, pooling of resources Address needs of a wide array or users Resources, context, needs Domains (all hazards, zoonosis biological chemical ) 7
8 EIOS technical process Scrape process De-duplicate Tag Categorise Translate Share 8
9 EIOS System: output 9
10 EIOS System: output 10
11 EIOS System: input Browse Search / Filter Read Comment Rapid Collection Traditional and Social Media Government Sources Over 1 million articles /week user communication Secure access Communication within communities Communication across communities Verify open source information Contribute new information and analysis 11
12 The EIOS - Zoonosis zoonotic ~60% existing human infections >75% emerging human infections ~80% potential bioterrorist agents (source: OIE; ) Animal/plant diseases affect nutrition, health & trade Improved detection Operational model 12
13 Next Steps & Target Dates* Draft three-year plan and documentation start October 2017 end December 2017 Secure long-term funding ongoing Test and evaluate system System roll out (new users) Collaborative enhancements (system evolution) November 2017 May 2018 October 2018 April 2018 ongoing ongoing *contingent on approvals, progress, resources & details to be articulated in three-year plan 13
14 The EIOS Initiative: perspective Documentation, Planning, Roadmap, Funding Core EIOS System Testing, Monitoring & Evaluation User Network Expansion and Training Develop & Expand Communication on System World Health Emergencies Collaborative Programme Enhancements Created to System Prevent, Prepare, Detect, Rapidly Respond and Recover
15 Thank you Dr Philippe Barboza Manager Detection Verification and Risk Assessment WHO, Health Emergencies Programme
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