Spatial Variability in Toxicity Indicators Used to Rank Chemical Risks

Bibliographic Data

ID11033569
AuthorsSusan L Cutter (0000-0002-7005-8596, Susan L. Cutter is with the Department of Geography, University of South Carolina, Columbia. Michael S. Scott is with the Department of Geography, Salisbury University, Salisbury, Md. Arleen A. Hill is a PhD student in the Department of Geography, University of South Carolina, Columbia.), Michael S Scott (Susan L. Cutter is with the Department of Geography, University of South Carolina, Columbia. Michael S. Scott is with the Department of Geography, Salisbury University, Salisbury, Md. Arleen A. Hill is a PhD student in the Department of Geography, University of South Carolina, Columbia.), Arleen A Hill (Susan L. Cutter is with the Department of Geography, University of South Carolina, Columbia. Michael S. Scott is with the Department of Geography, Salisbury University, Salisbury, Md. Arleen A. Hill is a PhD student in the Department of Geography, University of South Carolina, Columbia.)
Year2002
Volume92
Issue3
Pages420-422
Publication date2002-03-01
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.92.3.420
PMID11867323
OpenAlexW2150550885
LanguageEN
Citations received8
References cited11

Objectives. This study used 6 different measures of toxicity to explore spatial and statistical variations in relative risk indicators of Toxic Release Inventory emissions. Methods. Statistical and spatial correlations between the 6 indices were computed for individual South Carolina facilities. Results. Although the 6 toxicity indices are not highly correlated in theory, they have more commonality in practice. There was significant spatial variation in the indices by individual facility level. Conclusions. Environmental justice researchers must be cognizant of differences in toxicity indices because the choice of the toxicity measure can alter (statistically and spatially) the results of equity analyses and lead to erroneous conclusions. (Am J Public Health. 2002;92:420-422)

Chemical toxicity · Environmental health · Equity (law) · Political science · Spatial variability · Statistics · Toxicity · Environmental Justice and Health Disparities · Mathematics · Medicine · Risk Perception and Management · Toxic Organic Pollutants Impact

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