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Division of Environmental Health, Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC, United States. Electronic address:
Published: November 2020
AI Article Synopsis
- The study investigates the various neighborhood-level factors that contribute to disparities in pediatric asthma emergency department visits in South Carolina from 1999 to 2015.
- It utilizes a Bayesian framework to identify risk clusters and understand how these risk factors vary across different neighborhoods, indicating both urban and rural areas have high-risk zones.
- The findings highlight that unique contextual factors in different locations play a crucial role in asthma-related health disparities, suggesting that tailored public health interventions are needed.
Article Abstract
Asthma disparities have complex, neighborhood-level drivers that are not well understood. Consequently, identifying particular contextual factors that contribute to disparities is a public health goal. We study pediatric asthma emergency department (ED) visit disparities and neighborhood factors associated with them in South Carolina (SC) census tracts from 1999 to 2015. Leveraging a Bayesian framework, we identify risk clusters, spatially-varying relationships, and risk percentile-specific associations. Clusters of high risk occur in both rural and urban census tracts with high probability, with neighborhood-specific associations suggesting unique risk factors for each locale. Bayesian methods can help clarify the neighborhood drivers of health disparities.
