{"id":{"repo_id":"etsu","oai_identifier":"oai:dc.etsu.edu:etd-3331"},"canonical_url":"https://search.dev.ndltd.org/etd/etsu/oai:dc.etsu.edu:etd-3331","repository":{"repo_id":"etsu","name":"East Tennessee State University","base_url":"https://dc.etsu.edu/do/oai/"},"display":{"title":"Using Spatial Visualization Software to Influence Cancer Control Policy: A Case Study of Prostate Cancer in South Carolina.","abstract":"<p>Prostate cancer in the United States shows great disparities among race and socioeconomic status. Disparities in cancer rates in South Carolina are severe. Cancer control policies are lacking in ways to identify reasons for high risk populations and cost-effective ways to do so. An innovative spatial visualization program called the GeoViz Toolkit was used to determine areas of high Prostate Cancer incidence and mortality in South Carolina (rates obtained from the South Carolina Central Cancer Registry) compared with socioeconomic variables (education, income, lack of health insurance, and living in rural areas) and race. From there, recommendations were made using the South Carolina Cancer Alliance's \"South Carolina Comprehensive Cancer Control Plan\" objectives for Prostate Cancer for the top counties that were determined to have the highest need of intervention. These 11 counties include Colleton, Hampton, Allendale, Barnwell, Fairfield, Dillon, Marion, Marlboro, Williamsburg, Bamberg, and Orangeburg.</p>","abstract_html":"&lt;p&gt;Prostate cancer in the United States shows great disparities among race and socioeconomic status. Disparities in cancer rates in South Carolina are severe. Cancer control policies are lacking in ways to identify reasons for high risk populations and cost-effective ways to do so. An innovative spatial visualization program called the GeoViz Toolkit was used to determine areas of high Prostate Cancer incidence and mortality in South Carolina (rates obtained from the South Carolina Central Cancer Registry) compared with socioeconomic variables (education, income, lack of health insurance, and living in rural areas) and race. From there, recommendations were made using the South Carolina Cancer Alliance&#x27;s &quot;South Carolina Comprehensive Cancer Control Plan&quot; objectives for Prostate Cancer for the top counties that were determined to have the highest need of intervention. These 11 counties include Colleton, Hampton, Allendale, Barnwell, Fairfield, Dillon, Marion, Marlboro, Williamsburg, Bamberg, and Orangeburg.&lt;/p&gt;","abstract_has_math":false,"creators":["Shropshire, Shannon Amelia"],"institution":null,"degree_name":"MPH (Master of Public Health)","degree_level":"Thesis - unrestricted","degree_discipline":"Public Health","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2008,"date_issued":"2008-08-12T07:00:00Z","date_published":"2008-08-12T07:00:00Z","updated_at":"2026-07-24T02:21:11Z","subjects":["Cancer Control Policy","Prostate Cancer","Spatial Visualization","South Carolina","Health Policy","Public Affairs, Public Policy and Public Administration","Social and Behavioral Sciences"],"languages":[],"rights":["Copyright by the authors."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://dc.etsu.edu/etd/1979","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Shropshire, Shannon Amelia"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.issued","label":"Date","values":["2008-08-12T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Public Health"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - unrestricted"]},{"key":"thesis:degree_name","label":"Degree Name","values":["MPH (Master of Public Health)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Cancer Control Policy","Prostate Cancer","Spatial Visualization","South Carolina","Health Policy","Public Affairs, Public Policy and Public Administration","Social and Behavioral Sciences"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["Copyright by the authors."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://dc.etsu.edu/context/etd/article/3331/viewcontent/ShropshireS072408f.pdf","https://dc.etsu.edu/etd/1979"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>Prostate cancer in the United States shows great disparities among race and socioeconomic status. Disparities in cancer rates in South Carolina are severe. Cancer control policies are lacking in ways to identify reasons for high risk populations and cost-effective ways to do so. An innovative spatial visualization program called the GeoViz Toolkit was used to determine areas of high Prostate Cancer incidence and mortality in South Carolina (rates obtained from the South Carolina Central Cancer Registry) compared with socioeconomic variables (education, income, lack of health insurance, and living in rural areas) and race. From there, recommendations were made using the South Carolina Cancer Alliance's \"South Carolina Comprehensive Cancer Control Plan\" objectives for Prostate Cancer for the top counties that were determined to have the highest need of intervention. These 11 counties include Colleton, Hampton, Allendale, Barnwell, Fairfield, Dillon, Marion, Marlboro, Williamsburg, Bamberg, and Orangeburg.</p>"]},{"key":"dc:title","label":"Title","values":["Using Spatial Visualization Software to Influence Cancer Control Policy: A Case Study of Prostate Cancer in South Carolina."]}]}],"canonical_facts":{"dc:creator":["Shropshire, Shannon Amelia"],"dc:date.issued":["2008-08-12T07:00:00Z"],"dc:description.abstract":["<p>Prostate cancer in the United States shows great disparities among race and socioeconomic status. Disparities in cancer rates in South Carolina are severe. Cancer control policies are lacking in ways to identify reasons for high risk populations and cost-effective ways to do so. An innovative spatial visualization program called the GeoViz Toolkit was used to determine areas of high Prostate Cancer incidence and mortality in South Carolina (rates obtained from the South Carolina Central Cancer Registry) compared with socioeconomic variables (education, income, lack of health insurance, and living in rural areas) and race. From there, recommendations were made using the South Carolina Cancer Alliance's \"South Carolina Comprehensive Cancer Control Plan\" objectives for Prostate Cancer for the top counties that were determined to have the highest need of intervention. These 11 counties include Colleton, Hampton, Allendale, Barnwell, Fairfield, Dillon, Marion, Marlboro, Williamsburg, Bamberg, and Orangeburg.</p>"],"dc:identifier":["https://dc.etsu.edu/context/etd/article/3331/viewcontent/ShropshireS072408f.pdf","https://dc.etsu.edu/etd/1979"],"dc:rights":["Copyright by the authors."],"dc:subject":["Cancer Control Policy","Prostate Cancer","Spatial Visualization","South Carolina","Health Policy","Public Affairs, Public Policy and Public Administration","Social and Behavioral Sciences"],"dc:title":["Using Spatial Visualization Software to Influence Cancer Control Policy: A Case Study of Prostate Cancer in South Carolina."],"thesis:degree_discipline":["Public Health"],"thesis:degree_level":["Thesis - unrestricted"],"thesis:degree_name":["MPH (Master of Public Health)"]},"updated_at":"2026-07-24T02:21:11Z"}