A Bayesian spatio-temporal analysis of neighborhood pediatric asthma emergency department visit disparities.

A Bayesian spatio-temporal analysis of neighborhood pediatric asthma emergency department visit disparities. Health Place. 2020 Oct 01;66:102426 Authors: Bozigar M, Lawson AB, Pearce JL, King K, Svendsen ER 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. PMID: 33011491 [PubMed - as supplied by publisher]
Source: Health and Place - Category: Environmental Health Authors: Tags: Health Place Source Type: research