Evidence map›Paper›PMID 24195573›Full record

ArticleEnvironmental health : a global access science source2013

Spatial disparity in the distribution of superfund sites in South Carolina: an ecological study.

Kristen Burwell-Naney, Hongmei Zhang, Ashok Samantapudi, Chengsheng Jiang, Laura Dalemarre, LaShanta Rice, Edith Williams, Sacoby Wilson

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Investigation of Influences on Indoor and Outdoor SVOC Exposure.International journal of environmental research and public health · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Spatial Associations Between Contaminated Land and Socio Demographics in Ghana.International journal of environmental research and public health · 2015
    Article
  15. Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kristen Burwell-NaneyMaryland Institute for Applied Environmental Health (MIAEH), School of Public Health, University of Maryland, College Park, MD, USA. kburwell@umd.edu.
Hongmei Zhang
Ashok Samantapudi
Chengsheng Jiang
Laura Dalemarre
LaShanta Rice
Edith Williams
Sacoby Wilson

Funding

Role of HPV in Head and Neck Cancer in African Am & European Am PatientsP20MD001770 · NIMHD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI BULLARD-DILLARD, REBECCA, CREEK, KIM E · 2005 to 2014
$15.0M
Use of a Community-University Partnership to Eliminate Environmental StressorsR21ES017950 · NIEHS · UNIV OF MARYLAND, COLLEGE PARK · PI WILSON, SACOBY MIGUEL · 2009 to 2012
$1.2M
NIEHS NIH HHS 1R21ES017950-01NIMHD NIH HHS 3P20MD001770-07S1NIMHD NIH HHS P20 MD001770
6 · The paper itself

Abstract

backgroundAccording to the US Environmental Protection Agency (EPA), Superfund is a federal government program implemented to clean up uncontrolled hazardous waste sites. Twenty-six sites in South Carolina (SC) have been included on the National Priorities List (NPL), which has serious human health and environmental implications. The purpose of this study was to assess spatial disparities in the distribution of Superfund sites in SC.

methodsThe 2000 US census tract and block level data were used to generate population characteristics, which included race/ethnicity, socioeconomic status (SES), education, home ownership, and home built before 1950. Geographic Information Systems (GIS) were used to map Superfund facilities and develop choropleth maps based on the aforementioned sociodemographic variables. Spatial methods, including mean and median distance analysis, buffer analysis, and spatial approximation were employed to characterize burden disparities. Regression analysis was performed to assess the relationship between the number of Superfund facilities and population characteristics.

resultsSpatial coincidence results showed that of the 29.5% of Blacks living in SC, 55.9% live in Superfund host census tracts. Among all populations in SC living below poverty (14.2%), 57.2% were located in Superfund host census tracts. Buffer analyses results (0.5mi, 1.0mi, 5.0mi, 0.5km, 1.0km, and 5.0km) showed a higher percentage of Whites compared to Blacks hosting a Superfund facility. Conversely, a slightly higher percentage of Blacks hosted (30.2%) a Superfund facility than those not hosting (28.8%) while their White counterparts had more equivalent values (66.7% and 67.8%, respectively). Regression analyses in the reduced model (Adj. R2 = 0.038) only explained a small percentage of the variance. In addition, the mean distance for percent of Blacks in the 90th percentile for Superfund facilities was 0.48mi.

conclusionBurden disparities exist in the distribution of Superfund facilities in SC at the block and census tract levels across varying levels of demographic composition for race/ethnicity and SES.

Indexed as

Environmental ExposureEnvironmental PollutionGeographic MappingRefuse DisposalDemographyGeographic Information SystemsHazardous WasteHumansRegression AnalysisSocioeconomic FactorsSouth CarolinaHazardous Waste

Identifiers

PMID24195573
PMCPMC4228303

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.