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A framework for addressing health disparities in vulnerable populations with the help of Esri Community Analyst
Authors:Camelia Maria Kantor  Veronica Constantin
Institution:1.Department of Social Sciences, School of Humanities and Social Sciences,Claflin University,Orangeburg,USA;2.The Regional Development Agency Centre,Alba Iulia,Romania
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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