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Sharing Our Experience in Using WebDMAP

Sharing Our Experience in Using WebDMAP. A Desktop Mapping Tool for You!. Sam LeFevre Environmental Epidemiology Program Utah Department of Health. My co-conspirators. Utah Cancer Registry Dr Antoinette Stroup Janna Harrel University of Utah Dr Phoebe McNeally University of Iowa

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Sharing Our Experience in Using WebDMAP

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  1. Sharing Our Experience in Using WebDMAP A Desktop Mapping Tool for You! Sam LeFevre Environmental Epidemiology Program Utah Department of Health

  2. My co-conspirators • Utah Cancer Registry • Dr Antoinette Stroup • Janna Harrel • University of Utah • Dr Phoebe McNeally • University of Iowa • Dr Gerard Rushton • Dr Kirsten Beyer • University of North Texas • Dr ChetanTiwari • National Cancer Institute

  3. In the beginning… • SEER Rapid Response Surveillance Study • Sep 2007 – Sep 2008 (Mar 2009) • University of Iowa Collaborative Partnership • Utah Cancer Registry • New Jersey Cancer Registry • University of Iowa • National Cancer Institute • Utah Environmental Public Health Tracking Network • Objective 2: “Implement standard AVR formats, interfaces and tools…”

  4. Mapping Problems • Modifiable Areal Unit Problem (MAUP) • Unintentional/Unlawful Disclosure • Layman’s Interpretation

  5. What is webDMAP? • Disease mapping and Analysis Program (DMAP) • University of Iowa, Department of Geography • First release in 1996 • Desktop version (DMAP IV) released 2007 • http://www.uiowa.edu/~gishlth/DMAP4/ • Proposed to SEER to develop, test and evaluate a web-based service (webDMAP)

  6. Grid Data Step 1 Population Data SERVER Customer Desktop web interface Geocoded case data Sex-specific 5-year age group rate

  7. grid point population centroid Computes a distance matrix (3-dimensional) for each grid point case point

  8. Step 2

  9. grid point population centroid • Computes a • treshold-bounded • distance-weighted • covariate(age)-adjusted • empirically smoothed • rate for each grid point case point

  10. Grid Data with Rates Step 3 SERVER Customer Desktop web interface SHAPE FILE

  11. Step 3 SERVER Customer Desktop • Requires software that can interpolate on a point shape file to generate a raster file • Requires software that can visualize a raster file

  12. Uniform grid= 8,787 points

  13. Uniform grid= 8,787 points

  14. Sex specific population densified grid. Each grid point is for 20,000 person years (1,012 points).

  15. Findings • Difficult to set up: Conversion from MS environment to LINUX environment • Requires a robust server and a big allocation of memory • User interface is easy to use, but you need to know what is going on

  16. Next Steps • Utah Tracking Network • Move to a more robust server • Open to other users • University of Iowa • GRID-enable

  17. Your Turn!

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