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Updated: Dec 31, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
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A Bivariate Mapping Tutorial for Cancer Control Resource Allocation Decisions and Interventions.

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  • 1Rural and Minority Health Research Center, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina.

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Summary
This summary is machine-generated.

Bivariate choropleth mapping visually displays geographic health data. This method helps public health officials target interventions and allocate resources effectively for cancer screening programs.

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Area of Science:

  • Geographic Information Systems (GIS)
  • Spatial Analysis
  • Public Health Informatics

Background:

  • Bivariate choropleth mapping is an underutilized technique for visualizing dual geographic variables.
  • This method is recommended for public health planning, including cancer control efforts.
  • Simultaneous mapping of two area-level variables aids in understanding complex spatial relationships.

Purpose of the Study:

  • To demonstrate the application of bivariate choropleth mapping using GIS software (ArcGIS) for public health decision-making.
  • To inform resource allocation and intervention strategies for cervical cancer screening.
  • To identify geographic disparities in screening rates and access to care.

Main Methods:

  • Utilized county-level data from South Carolina's Behavioral Risk Factor Surveillance System (BRFSS) for cervical cancer screening rates.
  • Incorporated data on the availability of cervical cancer screening providers from the state's Breast and Cervical Cancer Early Detection Program.
  • Employed ArcGIS to create bivariate choropleth maps displaying both variables simultaneously.

Main Results:

  • The study identified specific counties with low screening rates and limited access to care, indicating areas for resource allocation.
  • Counties with low screening rates but high access to care were highlighted for targeted educational and behavioral interventions.
  • Bivariate mapping effectively visualized the intersection of screening behavior and provider availability.

Conclusions:

  • Bivariate choropleth mapping is a valuable tool for public health decision-making and resource allocation.
  • This spatial analysis method can guide the strategic deployment of interventions to improve cancer screening rates.
  • Visualizing geographic health data through bivariate maps enhances the understanding of disparities and informs targeted public health actions.