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Presentation Type
Presentation
Full Name of Faculty Mentor
Stephen Borders, Health Sciences
Major
Health Administration
Presentation Abstract
As a nation, we continue to make progress in health status and life expectancy, yet these gains have been uneven. Large inequalities exist and are often divided along racial lines. To measure these inequities, we created a Community Health Index based on 27 Center for Disease Control and Prevention (CDC) measures to better capture health inequality at more localized levels. To visualize these inequalities, we created an interactive dashboard and infographic at the census tract level to provide clearer insights. Using data from the American Community Survey, we add important factors, such as income and education, that are associated with health inequalities to add further understanding. These visualizations can assist public health officials and policymakers to better assess overall community needs, allocate funding, estimate the amount of resources needed to reduce disparities, and identify communities that need continued and ongoing support.
Location
Virtual Session Room 2
Start Date
22-4-2021 12:40 PM
End Date
22-4-2021 1:00 PM
Recommended Citation
Deckert, Hanna, "Visualizing Health Inequality in Sumter County, SC" (2021). Undergraduate Research Competition. 37.
https://digitalcommons.coastal.edu/ugrc/2021/fullconference/37
Visualizing Health Inequality in Sumter County, SC
Virtual Session Room 2
As a nation, we continue to make progress in health status and life expectancy, yet these gains have been uneven. Large inequalities exist and are often divided along racial lines. To measure these inequities, we created a Community Health Index based on 27 Center for Disease Control and Prevention (CDC) measures to better capture health inequality at more localized levels. To visualize these inequalities, we created an interactive dashboard and infographic at the census tract level to provide clearer insights. Using data from the American Community Survey, we add important factors, such as income and education, that are associated with health inequalities to add further understanding. These visualizations can assist public health officials and policymakers to better assess overall community needs, allocate funding, estimate the amount of resources needed to reduce disparities, and identify communities that need continued and ongoing support.