National Cancer Institute

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National Cancer Institute

Extensions useful for examining geographic patterns of health data Paper #: 1073

Authors: James Cucinelli (IMS), David Stinchcomb (NCI), Jeremy Lyman (IMS), Michael Barrett (IMS), Linda Pickle (NCI)

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Agenda • Overview • SEER*Stat Bridge • ColorTool • Smoothing Tools • Head-Bang • Empirical Bayes • Other tools (JoinTool, SaTScan, Disease Rate Calculator, Areal Interpolator)

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Overview • Why did we create these tools? • Reduce repetitive tasks/save time • Using other tools effectively and easily from ArcMap

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SEER*Stat • What is it? SEER*Stat is a powerful PC tool to view individual cancer records and to produce statistics for studying the impact of cancer on a population

• Where can I get it? http://seer.cancer.gov/seerstat/

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What data is available? • SEER Incidence • U.S. Mortality by state/county • U.S. Populations • Census County Attributes

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What statistics are available? • Crude and age-adjusted rates • Counts and pops • Survival and prevalence statistics • Multiple Primary Standardized Incidence Ratios

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SEER*Stat Bridge • What is it? A tool that facilitates access to SEER*Stat data • How does it work? From within ArcMap, the tool reformats SEER*Stat output so that it can be easily joined to shapefiles • Where can I get it? Email: [email protected]

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SEER*Stat Output

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Exported Output

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Adding a toolbar

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Creating a new toolbar

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Create NCI GIS Tools

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New toolbar has been added

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Adding SEER*Stat Bridge

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Button added to the toolbar

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SEER*Stat Bridge Interface

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SEER*Stat Bridge Result

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SEER*Stat Bridge • Requirements • Microsoft .NET framework • ArcMap 9.0 or 9.1 • Contact Us: Email: [email protected]

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ColorTool • What is it? A tool designed to help people select good color schemes for maps

• How did we create it? We used the color ramps from Cindy Brewer’s work which can be found on http://colorbrewer.org

• Where can I get the tool? Email: [email protected]

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Poor color choices can affect your audiences’ interpretation of your message

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What’s the geographic pattern? (poor color choice)

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Red (high) – Green (low) (better color choice)

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What’s the pattern to a colorblind user?

(can’t distinguish reds and greens)

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Red (high) – Blue (low) (best for color printers and monitors)

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Color Ramp Comparison

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Sequential Color Ramp

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Qualitative Color Ramp

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Screenshot of the tool • Layer • Field • Classification • Ramp Type • Color Scheme • Legend • Groups • Outlines • Exclusion

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ColorTool Conclusion • Requirements • Microsoft .NET framework • ArcMap 9.0 or 9.1 • Contact Us: Email: [email protected]

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Smoothing Health Data • Purpose: Remove background noise to clarify the underlying spatial pattern • The variance of both rates and counts is proportional to 1/population, so rates are more or less reliable depending on population size. Therefore, the smoother needs to use weights. • Most smoothers in the past did not allow weights, several new ones do • Very stable rates are smoothed less • More unstable rates (due to small populations) are smoothed more

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Head-Bang • What is it? A tool to smooth rates using an algorithm that is a median-based moving average of a specified # of nearest neighbors for each point • Who created it? Proposed by Tukey & Tukey, 1981, implemented by Hansen Simonson in 1991 Weights added by Mungiole, Pickle, Hansen Simonson in 1999 • Where can I get it? http://srab.cancer.gov/headbang

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Head-Bang for ArcMap™ • What is it? A tool from within ArcMap that calls Head-Bang • How did you create it? We used VB.NET to create a tool that calls Head-Bang and imports the results into ArcMap • Where can I get it? Email: [email protected]

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Lung cancer mortality rates (before smoothing)

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Lung cancer mortality rates (after smoothing)

National Cancer Institute Observed Data Smoothed Data

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Screenshot of the Tool

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Empirical Bayes Tool • What is it? A method to smooth disease rates in which the data for small numbers is pooled across areas to provide a more stable estimate of the rate.

• Who created it? Created for the NCI in connection with the Geographic Information System for the Breast Cancer Studies on Long Island

• Where can I get it? http://arcscripts.esri.com/details.asp?dbid=13905

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Screenshot of the tool (step 1)

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Screenshot of the tool (step 2)

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Screenshot of the tool (step 3)

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Raw Data

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Local Smoothing

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Global Smoothing

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Empirical Bayes Tool Raw Local

Global

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Other Tools • SaTScan for ArcMap: Performs geographical surveillance of disease, detects spatial or space-time disease clusters and checks if they are statistically significant. • Disease Rate Calculator: Can calculate disease rates with adjustments for age, race, or sex (indirectly and directly) • Areal Interpolator: Uses simple areal interpolation to calculate a variable for a given area • JoinTool: compares data to shapefiles

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Recommendations for Mapping Disease Rates • Design for particular audience and purpose: quantile-categorized choropleth maps work well • Use standard legend design • Colors should be chosen for visually impaired and consistent with conventions • Identify unreliable rates, don’t blank out • Multiple maps are often needed •

To address different questions



To focus attention on different scales



To compare modeled (smoothed) to observed…

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Questions/Contact Information

• Check out the National Cancer Institute’s GIS web site at:

http://gis.cancer.gov • Contact us: [email protected]