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Cross Border Initiative. Mapping Infectious Disease Across the Maine – New-Brunswick Border. 1918. ?. Project Goals. High-level timing goals: Emerging H5N1 and threat of Influenza Pandemic - “ when, not if ”
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Cross Border Initiative Mapping Infectious Disease Across the Maine – New-Brunswick Border 1918
Project Goals • High-level timing goals:Emerging H5N1 and threat of Influenza Pandemic - “ when, not if ” • Key Objective: Develop a model for cross-border integration of framework and thematic data for public health into a seamless mapping environment. • 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 • Develop Multi-Dimensional Data Model, for Spatio-Temporal Querying • Develop OGC-Compliant Web Mapping Application • Implement Privacy Safeguards (e.g. role-based permissions) • Enable Visualization & Analysis of Infectious Disease (Influenza) • Demonstrate Distributed Access Network (cross-border) • Conduct GIS Training and Simulation (pandemic scenario) • Publish Metadata and Services to CGDI / NSDI • Explore integration with Sentinel information systems (PHAC / CDC) • Explore real-time data integration • Review and Address Legal / Privacy Issues specific to project • Foster Awareness among health authorities
Understanding Spatial Disease Epidemiology • Baseline Influenza vs Pandemic Indicators • Transmissibility / Vectors • Progression Rate / Death Rate • Vulnerable Populations • Access to Health Care • Vaccine Distribution • Capacity / Demand Surge • Affected Health Care Workers From Micro To Macro
Kilometers 0 25 50 100 0 0.1 - 7.1 7.1 - 9.7 9.7 - 15.7 15.7 - 110.3 Mapping Public Health Data Community Health Maps Kilometers 0 25 50 100 Access to Health Care Asthma Admission / 10,000 Population – 2001 This project will deal primarily with seamless integration of public health data, as discussed in the next slide. Admission / 10,000 Population Mapping Influenza Cases 0 0.1 - 7.1 7.1 - 9.7 9.7 - 15.7 15.7 - 110.3
Integrating Data • Quality Checking (errors, omissions) • Vertical and Horizontal Alignment • Scale Matching / Representation • Matching Health Codes / Identifiers • Multi-Dimensional DB Design • Spatial and Temporal Stamps / Querying • Statistical Modules (average / total, normalized by population, etc)
Distributed Access Network CGDI / NSDI
Technology • Technology being implemented: • WMS / WFS servers • Spatial Database servers • Standards being adopted: • OGC WMS / WFS standards (inc. SLD) • Time Tag Specification (new) • FGDC Metadata Standard • Features being implemented: • Spatio-Temporal Querying • Points-of-Interest • Multi-User Collaboration • User-Controlled Classification • Reporting Tools • Graphs / chart tools • Tree Legend Enhancements • Migration of following features: • Feature Card (Metadata) • Gazetteer Searches • Custom View Control (save and share) • User Registration Process
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 • 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 • 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 University of New Brunswick • Dave Coleman • Darka Mioc • Francois Anton • Bernd Kurz • Mihaela Ulieru • Dave Townsend • Students (4) University of Southern Maine • David Harris • Chris Gianios • Rita Heimes • Glenn Wilson • Rosemary Mosher • Students (2) Maine Bureau of Health • Anne Redmond Sites • Andrew Pelletier New Brunswick Lung Association • 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 • Kevin Wilson • Chantale Caron • Graham Lounder • Sheldon O’Reilly • Jeff Fitzgerald • Leo Savoie
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 • Goal:To evaluate the map application / DB model for analyzing and responding to a simulated Influenza Pandemic • Scenario:Influenza Outbreak (human population) in State of Maine and New Brunswick • Determining the Critical Path:What information is needed, by who, when is it needed, what decisions will be made, etc • Participants:NB Lung, ALA-Maine, USM, UNB, EMO, Health authorities, other • Facilities:EMO Control Center, Distributed Access Network, Remote / Field Agents • 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 A,B,C,D,E Orientation Meeting Phase 2 A,D,E Phase 3 Interim Meeting Phase 3 Refine User Requirements Refine Visualization Requirements Conduct Data Assessment / Integration Data Model Design / Development Develop PPGIS Framework Complete Data Integration Install Spatial DB Software Testing and Acceptance Implement Data Model Compile Metadata Publish Metadata Refine SFE Specifications Develop SFE Application Implement SFE Application / Launch Implement WMS/DB Servers – Performance Testing Develop Training Requirements and Seminar Develop Simulation Outline Integrate Wireless Prototype Applications Simulation Preparation and Briefing of Participants Develop Pervasive Network Implement Wireless Application Support (NBLA) Conduct Training and Simulation Oral Presentations and Final Report 2006 2007 May Jun July Aug Sep Oct Nov Dec Jan Feb Mar
Current Status Awaiting Finalization of Contracts