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West Nile Virus Surveillance

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Title: West Nile Virus Surveillance


1
West Nile Virus Surveillance Comprehensive IT
Solution
Kevin Gibbs GIS Coordinator City of Chicago,
Department of Public Health gibbs_kevin_at_cdph.org 3
12-747-9610
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Why West Nile Virus
West Nile Virus Surveillance
  • Emerging Complex Health Issue Highly Linked to
    Geography
  • Using GIS can Prevent Human Infection and Death
  • Creation of a GIS Centric Surveillance Tool was
    the IT Solution
  • Integrated Disparate Data Sources
  • Automated Routine Processes
  • Combined Operational and Statistical Analysis
    while Readying Data for Public Distribution.
  • Team Initiated and Developed by Front Line Staff

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3
16 Participating Organizations
West Nile Virus Surveillance
  • Chicago Department of Public Health
  • Environmental Health
  • Communicable Disease
  • Epidemiology
  • Office of Management Information Systems
  • Chicago Business and Information Services, GIS
    Division
  • Chicago Department of Streets and Sanitation
  • Mayors Office and Mayors Office WNV Task Force
  • 311 City Services
  • Clarke Mosquito Control
  • Illinois Department of Public Health
  • Centers for Disease Control
  • Illinois Natural History Survey
  • Neighboring Mosquito Abatement Districts (MADs)

3
4
Program Goal Why we do this
West Nile Virus Surveillance
  • The Goal of the West Nile Virus Surveillance
    Project is to
  • Help us decide if, when and where to implement
    control measures which minimize the transmission
    of the virus to the human population. We do this
    by
  • Detecting areas of high West Nile activity
  • Assessing risks

4
5
Initial Solution Requirements/Goals
West Nile Virus Surveillance
  • 2002 Illustrated the Need to
  • Maintain a Single Data Repository
  • Automate Geographic Data
  • Capitalize on Additional Data
  • Standardize Reporting
  • Application Goals
  • Gather Data from Various Sources in Real-time
  • Process and Summarize Geographic Information
  • Standardize and Disseminate Reports
  • Fully Functional GIS
  • Analysis (Operational vs. Statistical solution)
  • Management (flexible enough to answer complex
    queries from media, citizens, and other
    officials)
  • Media Distribution Improve speed

5
6
Initial Solution Achievements
West Nile Virus Surveillance
  • Leverages
  • Existing City Business Processes and Tools
  • Available Hardware and Software
  • Zero-Cost
  • Seasonal Role-Out (June 1)
  • Achieves
  • Simplicity
  • Integration of Processes from Disparate
    Components
  • Real Surveillance Value!

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7
Data Sources
West Nile Virus Surveillance
  • Mosquito Abatement Program
  • Mosquito Trap Tests
  • 100 sites
  • Located using GIS and GPS
  • Bi-weekly collections by 10 summer staff
  • Larvicide/Standing Water (200,000 sites)
  • Adulticide Treatment Areas
  • Communicable Disease Office
  • Human Cases Reported to Health Department
  • Geographic Identifier Patients Home Address
  • 311/City Non-Emergency Hotline
  • Citizen Generated Dead Bird Reports 25-40
    calls/day
  • Streets Dept Collected Dead Bird Samples/Tests
    2 Positives per Ward

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Process Flow
West Nile Virus Surveillance
8
9
Components of the Solution
West Nile Virus Surveillance
  • Hardware
  • WNV Server (Windows XP)
  • PC Workstations (Windows 2000 XP)
  • Front End
  • Microsoft Access
  • Back End Database
  • Oracle 9i database
  • GIS
  • ESRI ArcView 9.1
  • SatScan (v4.0.3) for spatial analysis
  • Trimble GeoXM GPS
  • Other Components
  • Visual Basic 6.0 Dynamic Link Libraries
  • FTP client
  • Intelligence Dispatcher geocoding engine
  • Java clients for geocoding addresses
  • City of Chicago Non-Emergency hotline, aka 311 or
    CSR
  • Business Objects Server
  • Communicable Diseases Human Case Database

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GIS Timeline of Surveillance Week 35, 2005
West Nile Virus Surveillance
10
11
GIS Analysis 311 Citizen Reported Dead Birds
West Nile Virus Surveillance
11
12
GIS Analysis 1 Week of 311 Dead Bird Calls
West Nile Virus Surveillance
12
13
GIS Analysis 311 Calls are Summarized to
Census Tracts by Kulldorff Spatial Scan
Statistic
West Nile Virus Surveillance
13
14
GIS Analysis All Sources of Data Build a
Picture of Activity
West Nile Virus Surveillance
14
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GIS Analysis Process Summary Publication
West Nile Virus Surveillance
2
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GIS Analysis Reasoning
West Nile Virus Surveillance
16
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Monitoring the Effects of the Intervention
(Spraying)
West Nile Virus Surveillance
17
18
Why Adopt a GIS Enterprise Model
West Nile Virus Surveillance
  • Integrates various city services needed for
    intervention
  • Broadcasts common message and consistent analysis
    to
  • Decision makers
  • Operational staff
  • Analytical Staff
  • Public
  • Leverages technology tools developed for use by
    other city departments for completely different
    business solutions

18
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Strategy for GIS Enterprise Implementation
West Nile Virus Surveillance
  • CIOs Role Facilitate the automation of common
    processes or surveillance models using a GIS
  • Key Staff
  • Operational Staff Define practical need (Field
    data collection)
  • Analytical Staff Define process model
    (Epidemiology)
  • IT Staff Implement solution, test, and support
  • Use process model to define benefit vs. cost in
    terms of
  • Improved ability to target intervention
  • Reduced workload on data entry and analysis
  • Greater functionality of other core IT functions
    such as billing, reporting, and records
    management
  • Current project status
  • Improving data collection through use of GPS and
    Bar Coding
  • Completing transition to server side processing
  • Web reporting to be added
  • Lessons learned
  • A GIS Enterprise will greatly improve your
    ability to quickly and accurately act toward
    your goal to improve the health of people in
    your community

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