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Knowledge Visualizations to Inform Decision Making for Improving Food Accessibility and Reducing Obesity Rates in the

Raphael D Isokpehi1, Matilda O Johnson2, Bryanna Campos2,3

  • 1Center for Trans-Disciplinary Data Analytics, Department of Natural Sciences, College of Science, Engineering and Mathematics, Bethune-Cookman University, Daytona Beach, FL 32114, USA.

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Summary

Knowledge visualization frameworks enhance understanding of complex public health issues like food accessibility. This study grouped U.S. census tracts using food access data to create interactive visualizations for better decision-making.

Keywords:
Food Access Research Atlas (FARA)food accessfood desertknowledge visualizationobesityvisual analytics

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Area of Science:

  • Public Health
  • Data Science
  • Geographic Information Systems

Background:

  • Food accessibility is a complex public health issue.
  • Existing datasets like the Food Access Research Atlas (FARA) contain extensive data on food access.
  • Effective knowledge transfer is crucial for addressing public health challenges.

Purpose of the Study:

  • To promote knowledge visualization frameworks for creating and transferring complex public health knowledge.
  • To develop data analytical procedures for grouping U.S. census tracts based on food accessibility patterns.
  • To facilitate the creation of interactive visualizations for gaining insights into food accessibility and related health outcomes.

Main Methods:

  • Utilized the U.S. Department of Agriculture Food Access Research Atlas (FARA) dataset.
  • Developed data analytical procedures using four-digit and 16-digit binary patterns.
  • Grouped 72,684 U.S. census tracts into eight and forty distinct groups.
  • Designed and produced interactive knowledge visualizations based on the value-added FARA dataset.

Main Results:

  • Successfully grouped U.S. census tracts into eight and forty clusters based on food accessibility variables.
  • Created interactive knowledge visualizations offering new insights into food accessibility and obesity rates.
  • Demonstrated the potential of visualizations to serve as an integrated explanation and prediction system.

Conclusions:

  • Knowledge visualization approaches can significantly improve the understanding and transfer of complex public health information.
  • Interactive visualizations derived from grouped data can reveal patterns in food accessibility and nutritional inequality.
  • This methodology can inform multi-level decision-making to enhance food accessibility and reduce chronic diseases.