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Conference proceeding
A Cluster Analysis of USA Superfund Sites and Associated Cancer Risk
Proceedings of the World Congress on New Technologies, pp.ICEPR 107-1 -ICEPR 107-7
World Congress on New Technologies (NewTech'17), 3rd (Rome, Italy, 06/06/2017–06/08/2017)
2017
Abstract
Superfund sites are geographic locations selected by the U.S. Environmental Protection Agency for long-term cleanup due to extreme toxic chemical spills. We study some characteristics of locations with Superfund sites. We have addressed three main research questions in this paper: (1) Are there geographical areas where the number (or density) of Superfund sites are significantly higher than in the rest of the USA? (2) Are there geographic areas where the overall cancer incidence rates are significantly higher than in the rest of the USA, and is there an association with the number (or density) of Superfund sites? (3) Are counties with Superfund sites more likely to have higher rates of minority populations than the rest of the USA? We studied the geographic distribution of overall cancer incidence rates (2007-2011), in addition to the geographic variation of Superfund sites for 2013. We used the disease surveillance software package SaTScan, which includes a scan statistic, to identify spatial clusters in cancer rates and in Superfund count and density. We also used the surveillance software FleXScan to support and complement the results obtained with SaTScan. Our results show that geographic areas with Superfund sites tend to have elevated cancer risk and elevated rates of minority populations.
Details
- Title
- A Cluster Analysis of USA Superfund Sites and Associated Cancer Risk
- Publication Details
- Proceedings of the World Congress on New Technologies, pp.ICEPR 107-1 -ICEPR 107-7
- Resource Type
- Conference proceeding
- Conference
- World Congress on New Technologies (NewTech'17), 3rd (Rome, Italy, 06/06/2017–06/08/2017)
- Publisher
- Avestia; Ottawa, Canada
- Copyright
- Permission granted to the University of West Florida Libraries by the author to digitize and/or display this information for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires the permission of the copyright holder.
- Identifiers
- 99381814966506600
- Academic Unit
- Mathematics and Statistics; Hal Marcus College of Science and Engineering
- Language
- English