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Full-Text Articles in Medicine and Health Sciences
Validation Of Bayesian Kriging Of Arsenic, Chromium, Lead And Mercury Surface Soil Concentrations Based On Internode Sampling, C. Marjorie Aelion, H. T. Davis, Y. Liu, A. B. Lawson, S. Mcdermott
Validation Of Bayesian Kriging Of Arsenic, Chromium, Lead And Mercury Surface Soil Concentrations Based On Internode Sampling, C. Marjorie Aelion, H. T. Davis, Y. Liu, A. B. Lawson, S. Mcdermott
C. Marjorie Aelion
Bayesian kriging is a useful tool for estimating spatial distributions of metals; however, estimates are generally only verified statistically. In this study surface soil samples were collected on a uniform grid and analyzed for As, Cr, Pb, and Hg. The data were interpolated at individual locations by Bayesian kriging. Estimates were validated using a leave-one-out cross validation (LOOCV) statistical method which compared the measured and LOOCV predicted values. Validation also was carried out using additional field sampling of soil metal concentrations at points between original sampling locations, which were compared to kriging prediction distributions. LOOCV results suggest that Bayesian kriging …
Soil Metal Concentrations And Toxicity: Associations With Distances To Industrial Facilities And Implications For Human Health, C. Marjorie Aelion, Harley Davis, Suzanne Mcdermott, Andrew Lawson
Soil Metal Concentrations And Toxicity: Associations With Distances To Industrial Facilities And Implications For Human Health, C. Marjorie Aelion, Harley Davis, Suzanne Mcdermott, Andrew Lawson
C. Marjorie Aelion
Urban and rural areas may have different levels of environmental contamination and different potential sources of exposure. Many metals, i.e., arsenic (As), lead (Pb), and mercury (Hg), have well-documented negative neurological effects, and the developing fetus and young children are particularly at risk. Using a database of mother and child pairs, three areas were identified: a rural area with no increased prevalence of mental retardation and developmental delay (MR/DD) (Area A), and a rural area (Area B) and an urban area (Area C) with significantly higher prevalence of MR/DD in children as compared to the state-wide average. Areas were mapped …
Identifying Natural And Anthropogenic Sources Of Metals In Urban And Rural Soils Using Gis-Based Data, Pca, And Spatial Interpolation, Harley T. Davis, C. Marjorie Aelion, Suzanne Mcdermott, Andrew B. Lawson
Identifying Natural And Anthropogenic Sources Of Metals In Urban And Rural Soils Using Gis-Based Data, Pca, And Spatial Interpolation, Harley T. Davis, C. Marjorie Aelion, Suzanne Mcdermott, Andrew B. Lawson
C. Marjorie Aelion
Determining sources of neurotoxic metals in rural and urban soils is important for mitigating human exposure. Surface soil from four areas with significant clusters of mental retardation and developmental delay (MR/DD) in children, and one control site were analyzed for nine metals and characterized by soil type, climate, ecological region, land use and industrial facilities using readilyavailable GIS-based data. Kriging, principal component analysis (PCA) and cluster analysis (CA) were used to identify commonalities of metal distribution. Three MR/DD areas (one rural and two urban) had similar soil types and significantly higher soil metal concentrations. PCA and CA results suggested that …
Variable Selection For Spatial Random Field Predictors Under A Bayesian Mixed Hierarchical Spatial Model, Ji-In Kim, Andrew B. Lawson, Suzanne Mcdermott, C. Marjorie Aelion
Variable Selection For Spatial Random Field Predictors Under A Bayesian Mixed Hierarchical Spatial Model, Ji-In Kim, Andrew B. Lawson, Suzanne Mcdermott, C. Marjorie Aelion
C. Marjorie Aelion
A health outcome can be observed at a spatial location and we wish to relate this to a set of environmental measurements made on a sampling grid. The environmental measurements are covariates in the model but due to the interpolation associated with the grid there is an error inherent in the covariate value used at the outcome location. Since there may be multiple measurements made on different covariates there could be considerable uncertainty in the covariate values to be used. In this paper we examine a Bayesian approach to the interpolation problem and also a Bayesian solution to the variable …