DESCRIPTION (provided by applicant): 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.
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