Epidemic Intelligence from Open Sources (EIOS) Dr Philippe Barboza - - PowerPoint PPT Presentation

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Epidemic Intelligence from Open Sources (EIOS) Dr Philippe Barboza - - PowerPoint PPT Presentation

Epidemic Intelligence from Open Sources (EIOS) Dr Philippe Barboza Manager, Detection Verification and Risk Assessment WHO, Health Emergencies Programme WHO Health Emergency programme WHE Detect Respond Recover Prepare Prevent May


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Dr Philippe Barboza

Manager, Detection Verification and Risk Assessment WHO, Health Emergencies Programme

Epidemic Intelligence from Open Sources (EIOS)

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HEALTH

programme

EMERGENCIES

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WHO –Health Emergency programme

Prevent Recover Prepare Detect Respond

 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

WHE

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HEALTH

programme

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Improving global epidemic intelligence

input process detect verify analyse assess Dissem- inate respond

epidemic intelligence

  • Comprehensive
  • Bring initiatives together
  • Expand input:
  • Volume of sources
  • Variety of sources
  • Velocity of sources
  • Improve assessment
  • Accessible
  • Global, national and local use
  • Build capacity
  • Collaborative
  • Bring people together
  • Facilitate communication
  • Form expert communities
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WHO & Epidemic Intelligence milestones

Coll Collabo borati tion

  • n WHO

WHO - Cana Canada da t to de

  • develop

elop GPHI GPHIN N (Global Public Health Intelligence Network) Gl Glob

  • bal H

al Hea ealt lth h Se Secu curi rity I ty Initi nitiati tive e en endo dorse ses s EAR EAR (Early Alerting and Reporting platform) WHO WHO – Eu Europ

  • pea

ean n Commission Commission de develop elop HD HDRA RAS S (Hazard Detection and Risk Assessment System)

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Evidence based : need supra-system for a new EI initiative

World Health Emergencies Programme Created Prevent, Prepare, Detect, Rapidly Respond and Recover “No super-system exists to pool expert systems' expertise and more initiatives must be developed in this direction.”

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): e57252. https://doi.org/10.1371/journal.pone.0057252

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EMERGENCIES

EIOS conception

90s-2007

Goals

  • Capitalize on existing
  • Foster synergies
  • Pool expertise
  • Reduce duplication
  • Increased adaptability

Integrated collaboration 1st Phase EAR (GHSI)

2008-2016

HDRAS

2017

EIOS

Roll out

2nd Phase

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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 …)

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EIOS technical process

Scrape Categorise Tag De-duplicate Translate Share process

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EIOS System: output

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EIOS System: output

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EIOS System: input

  • Rapid Collection
  • Traditional and Social Media
  • Government Sources
  • Over 1 million articles /week
  • Secure access
  • Communication within communities
  • Communication across communities
  • Verify open source information
  • Contribute new information and analysis
  • Browse
  • Search / Filter
  • Read
  • Comment

user communication

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The EIOS - Zoonosis

  • ~60% existing human infections
  • >75% emerging human infections
  • ~80% potential bioterrorist agents

(source: OIE; http://www.oie.int/en/for-the-media/onehealth/ )

zoonotic

  • Animal/plant diseases affect nutrition, health & trade

Improved detection Operational model

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Next Steps & Target Dates*

Draft three-year plan and documentation Secure long-term funding Test and evaluate system System roll out (new users) Collaborative enhancements (system evolution) start end October 2017 December 2017 November 2017 April 2018 May 2018 October 2018

  • ngoing
  • ngoing
  • ngoing

*contingent on approvals, progress, resources & details to be articulated in three-year plan

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The EIOS Initiative: perspective

World Health Emergencies Programme Created Prevent, Prepare, Detect, Rapidly Respond and Recover

Documentation, Planning, Roadmap, Funding Core EIOS System Develop & Expand Communication on System User Network Expansion and Training

2017 2018 2019 2020

Testing, Monitoring & Evaluation Collaborative Enhancements to System

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Dr Philippe Barboza

Manager Detection Verification and Risk Assessment WHO, Health Emergencies Programme

Thank you