The research proposed here will develop, implement, assess, and disseminate the next generation of cross-platform, visually-enabled geospatial analysis methods and tools to support cancer-related public health research and policy. The primary objective of the work is to develop a coordinated visual, statistical, and computational approach that extends current abilities to explore, identify, investigate, and explain spatial patterns of cancer incidence and mortality, and their relationships to population demographics and health policy. Of special note are new mechanisms to assess the potential for errors of omission and commission in that analysis The proposed methods and tools will facilitate the integration of epidemiological, demographic, and health-policy data, enabling researchers and analysts to take a holistic view of communities, their health with respect to cancer, and relationships to health policy (e.g. screening, accessibility). A series of proof-of-concept case studies will be used to demonstrate and assess the methods and tools developed and, at the same time, to address specific cancer research questions relevant to the Appalachia Cancer Network (ACN). Formal usability assessment methods will be applied throughout the human-centered process of software design, implementation, and deployment. The goal of these assessments will be to ensure that the methods and tools developed are both accessible to and useable by the cancer researchers and analysts whose work they are intended to support. We will take full advantage of outreach efforts within the ACN and the Center for Spatially Integrated Social Science (CSISS), to disseminate software developed and to provide training in its use to the cancer research and policy communities within Appalachia and beyond.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA095949-04
Application #
6871224
Study Section
Special Emphasis Panel (ZRG1-SNEM-2 (02))
Program Officer
Lewis, Denise
Project Start
2002-04-01
Project End
2007-03-31
Budget Start
2005-04-11
Budget End
2006-03-31
Support Year
4
Fiscal Year
2005
Total Cost
$339,466
Indirect Cost
Name
Pennsylvania State University
Department
Miscellaneous
Type
Other Domestic Higher Education
DUNS #
003403953
City
University Park
State
PA
Country
United States
Zip Code
16802
Robinson, Anthony C; MacEachren, Alan M; Roth, Robert E (2011) Designing a web-based learning portal for geographic visualization and analysis in public health. Health Informatics J 17:191-208
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Chen, Jin; Maceachren, Alan M; Guo, Diansheng (2008) Supporting the Process of Exploring and Interpreting Space-Time Multivariate Patterns: The Visual Inquiry Toolkit. Cartogr Geogr Inf Sci 35:33-50
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Guo, Diansheng; Chen, Jin; MacEachren, Alan M et al. (2006) A visualization system for space-time and multivariate patterns (VIS-STAMP). IEEE Trans Vis Comput Graph 12:1461-74

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