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A framework for addressing health disparities in vulnerable populations with the help of Esri Community Analyst

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Abstract

Increasingly, health outcomes are tied to nutritional opportunities based on the availability of foods and cultural patterns of consumption. This paper demonstrates how Esri Community Analyst can help in identifying at-risk communities. The methodology that results argues a means by which national data made available by Esri in a “one-stop shop” can be utilized in a simplified, user-friendly way to identify specific populations with higher prevalence of certain diseases and areas where nutritional needs are likely unmet. For demonstration purposes, this paper presents a case study for South Carolina, USA.

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Authors and Affiliations

  1. Department of Social Sciences, School of Humanities and Social Sciences, Claflin University, Orangeburg, SC, USA

    Camelia Maria Kantor

  2. The Regional Development Agency Centre, 12 Decebal Str., Alba Iulia, Alba County, Romania

    Veronica Constantin

Authors
  1. Camelia Maria Kantor
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  2. Veronica Constantin
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Correspondence to Camelia Maria Kantor.

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This research is based on secondary data only. The manuscript has not been submitted to any other journal. It is fully compliant with the ethical standards of the research community.

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Kantor, C.M., Constantin, V. A framework for addressing health disparities in vulnerable populations with the help of Esri Community Analyst. GeoJournal 82, 1–8 (2017). https://doi.org/10.1007/s10708-015-9669-8

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  • DOI: https://doi.org/10.1007/s10708-015-9669-8

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