Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Cross Border Initiative 1918 Mapping Infectious Disease Across the Maine – New-Brunswick Border ? 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 From Micro To Macro 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 Mapping Public Health Data Community Health Maps Kilometers 0 25 50 100 Kilometers 0 25 50 100 Access to Health Care Asthma Admission / 10,000 Population – 2001 Admission / 10,000 Population 0 0.1 - 7.1 7.1 - 9.7 9.7 - 15.7 15.7 - 110.3 0 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 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: Features being implemented: — – WMS / WFS servers — — – Spatial Database servers — — Standards being adopted: — 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) — – Time Tag Specification (new) Migration of following features: — Feature Card (Metadata) — Gazetteer Searches — Custom View Control (save and share) — User Registration Process – FGDC Metadata Standard 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 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 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 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 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