Title |
Estimation of exposure to toxic releases using spatial interaction modeling
|
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Published in |
International Journal of Health Geographics, March 2011
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DOI | 10.1186/1476-072x-10-20 |
Pubmed ID | |
Authors |
Jamison F Conley |
Abstract |
The United States Environmental Protection Agency's Toxic Release Inventory (TRI) data are frequently used to estimate a community's exposure to pollution. However, this estimation process often uses underdeveloped geographic theory. Spatial interaction modeling provides a more realistic approach to this estimation process. This paper uses four sets of data: lung cancer age-adjusted mortality rates from the years 1990 through 2006 inclusive from the National Cancer Institute's Surveillance Epidemiology and End Results (SEER) database, TRI releases of carcinogens from 1987 to 1996, covariates associated with lung cancer, and the EPA's Risk-Screening Environmental Indicators (RSEI) model. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Unknown | 48 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 31% |
Student > Ph. D. Student | 8 | 16% |
Student > Master | 7 | 14% |
Other | 3 | 6% |
Student > Bachelor | 3 | 6% |
Other | 5 | 10% |
Unknown | 8 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 12 | 24% |
Social Sciences | 8 | 16% |
Engineering | 4 | 8% |
Computer Science | 3 | 6% |
Nursing and Health Professions | 2 | 4% |
Other | 7 | 14% |
Unknown | 13 | 27% |