Transcript Cross Border Initiative

Cross Border Initiative
1918
Mapping Infectious Disease Across
the Maine – New-Brunswick Border
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Project Goals
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High-level timing goals: Emerging H5N1 and threat
of Influenza Pandemic - “ when, not if ”
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Key Objective: Develop a model for cross-border
integration of framework and thematic data for public
health into a seamless mapping environment.
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Ultimate goal: Foster awareness among public health
authorities, for the adoption of mapping technology to
strengthen disease surveillance and control activities
(e.g. planning immunization strategies)
Milestone Objectives
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Develop Multi-Dimensional Data Model, for Spatio-Temporal Querying
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Develop OGC-Compliant Web Mapping Application
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Implement Privacy Safeguards (e.g. role-based permissions)
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Enable Visualization & Analysis of Infectious Disease (Influenza)
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Demonstrate Distributed Access Network (cross-border)
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Conduct GIS Training and Simulation (pandemic scenario)
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Publish Metadata and Services to CGDI / NSDI
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Explore integration with Sentinel information systems (PHAC / CDC)
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Explore real-time data integration
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Review and Address Legal / Privacy Issues specific to project
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Foster Awareness among health authorities
Understanding Spatial Disease
Epidemiology
From Micro
To Macro
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Baseline Influenza vs Pandemic Indicators
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Transmissibility / Vectors
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Progression Rate / Death Rate
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Vulnerable Populations
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Access to Health Care
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Vaccine Distribution
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Capacity / Demand Surge
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Affected Health Care Workers
Mapping Public Health Data
Community Health Maps
Kilometers
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25 50
100
Kilometers
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25 50
100
Access to Health Care
Asthma Admission /
10,000 Population – 2001
Admission / 10,000 Population
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0.1 - 7.1
7.1 - 9.7
9.7 - 15.7
15.7 - 110.3
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0.1 - 7.1
7.1 - 9.7
9.7 - 15.7
15.7 - 110.3
This project will deal primarily with
seamless integration of public health data,
as discussed in the next slide.
Mapping
Influenza Cases
Integrating Data
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Quality Checking (errors, omissions)
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Vertical and Horizontal Alignment
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Scale Matching / Representation
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Matching Health Codes / Identifiers
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Multi-Dimensional DB Design
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Spatial and Temporal Stamps / Querying
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Statistical Modules (average / total, normalized by
population, etc)
Distributed Access Network
CGDI / NSDI
Technology
 Technology being implemented:
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Features being implemented:
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– WMS / WFS servers
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– Spatial Database servers
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 Standards being adopted:
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Spatio-Temporal Querying
Points-of-Interest
Multi-User Collaboration
User-Controlled Classification
Reporting Tools
Graphs / chart tools
Tree Legend Enhancements
– OGC WMS / WFS standards (inc. SLD)
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– Time Tag Specification (new)
Migration of following features:
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Feature Card (Metadata)
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Gazetteer Searches
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Custom View Control (save and share)
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User Registration Process
– FGDC Metadata Standard
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CARIS Spatial Fusion Enterprise
Configuration Manager
http://www.caris.com/products/
Wireless and Remote Applications
Porting an existing desktop web application
Layered
windows
Prototype Thin Client in Action
Map
View
Data
Entry
Chief Medical Officer
Physician / Nurse
Data Technician
Lab / Verification of
Suspected Cases
Ambulatory Response
Must be easy to use
Notification
Public Access
Equipment
 Existing Resources
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WMS Server, New Brunswick Lung Association
Secure Server Rooms (NB Lung, USM, UNB, EMO)
Production Environment (GIS / DB Administration), NB Lung, USM
Fiber Line Installed (no connectivity)
Sentinel Information Systems exist (not integrated with WMS)
Multimedia Equipment
 Resources Contributed
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New WMS Server, University of Southern Maine
New Fiber Connectivity, Emergency Measures Organization / USM
Simulation Center, EMO
GIS and Wireless Laboratories, UNB
Wireless Applications / Devices, UNB
Software: New CARIS SFE Licenses (3)
 Resources Required
– Windows 2003 upgrade on WMS servers
– 5 – 10 Web-Cams (for recording end-user application testing / simulation)
– Spatial Database Software (e.g. ORACLE Spatial)
Team Members
New Brunswick Lung Association
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Kenneth Maybee
Barb MacKinnon
Eddie Oldfield
Xiaolun Yi
Maurice Lanteigne
Patti Parker / Sandra Athron
Betty Barrett
Barry Lindsay
American Lung Association of Maine
– Edward Miller
– Norm Anderson
CARIS Canada and CARIS USA
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Kevin Wilson
Chantale Caron
Graham Lounder
Sheldon O’Reilly
Jeff Fitzgerald
Leo Savoie
University of New Brunswick
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Dave Coleman
Darka Mioc
Francois Anton
Bernd Kurz
Mihaela Ulieru
Dave Townsend
Students (4)
University of Southern Maine
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David Harris
Chris Gianios
Rita Heimes
Glenn Wilson
Rosemary Mosher
Students (2)
Maine Bureau of Health
– Anne Redmond Sites
– Andrew Pelletier
Other Partners
NB Emergency Measures Organization / Public Safety
– Ernest MacGillivray
– 30 Provincial Emergency Action Committee Staff
– 10 EMO Staff
Cox-Hanson-O’Reilly-Matheson Law Firm
– Chris Delong
– Patrick Fitzgerald
Service New Brunswick / Geomatics Review Committee
NB Department of Health
Public Health Agency of Canada
WHO-PAHO (Pierre Gosselin, Head)
Committees
Management Team:
– review progress on both sides of the border, assess risks and mitigation
strategies, and make decisions which will ensure the efficient and
successful delivery of project milestones, goals and objectives.
User Training and Requirements Analysis Committee
(User Needs Committee):
– identify user requirements, use cases, develop visualization
requirements, identify simulation use-cases, assist with PPGIS
framework, identify distribution channels, develop training session,
evaluation of project outcomes against user requirements.
Committees
Data Model Design Committee:
– identify data sets, QC, horizontal / vertical integration (across border),
choose statistical and modeling methodologies to meet visualization
specs, develop multi-dimensional database, testing / implementation of
spatial database, publish metadata
Simulation Coordination Committee:
– confirm participants, identify information needs, design scenario,
determine ‘critical path’, prepare documentation, conduct briefing,
conduct simulation, post simulation evaluation.
Legal Advisory Committee:
– review and address all legal / privacy issues related to this project.
Simulation
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Goal: To evaluate the map application / DB model for analyzing
and responding to a simulated Influenza Pandemic
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Scenario: Influenza Outbreak (human population) in State of
Maine and New Brunswick
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Determining the Critical Path: What information is needed, by
who, when is it needed, what decisions will be made, etc
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Participants: NB Lung, ALA-Maine, USM, UNB, EMO, Health
authorities, other
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Facilities: EMO Control Center, Distributed Access Network,
Remote / Field Agents
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Success Factors: TBD
A) Management Team
B) User Needs Committee
C) Data Model Design Committee
D) Simulation Coordination Committee
E) Legal Advisory Committee
Schedule
A,B,C,E
A,B,C,D,E
Phase 1
Orientation
Meeting
A,B,C,D,E
Phase 2
A,D,E
Phase 3
Interim Meeting
Refine User Requirements
Phase 3
Develop PPGIS Framework
Refine Visualization Requirements
Complete Data Integration
Install Spatial DB Software
Conduct Data Assessment / Integration
Data Model Design / Development
Testing and Acceptance
Implement Data Model
Compile Metadata
Refine SFE Specifications
Publish Metadata
Develop SFE Application
Implement WMS/DB Servers – Performance Testing
Implement SFE
Application / Launch
Develop Training
Requirements and Seminar
Simulation Preparation and
Briefing of Participants
Conduct Training and
Simulation
Develop Simulation Outline
Develop Pervasive Network
Integrate Wireless Prototype
Applications
Implement Wireless
Application Support (NBLA)
2006
May
Oral Presentations and
Final Report
2007
Jun
July
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Current Status
Awaiting Finalization of Contracts