| Title |
Using Watershed Boundaries to Map Adverse Health Outcomes: Examples From Nebraska, USA
|
|---|---|
| Published in |
Environmental Health Insights, January 2018
|
| DOI | 10.1177/1178630217751906 |
| Pubmed ID | |
| Authors |
Brittany Corley, Shannon Bartelt-Hunt, Eleanor Rogan, Donald Coulter, John Sparks, Lorena Baccaglini, Madeline Eversoll, Sidra Liaquat, Rex Commack, Alan S Kolok |
| Abstract |
In 2009, a paper was published suggesting that watersheds provide a geospatial platform for establishing linkages between aquatic contaminants, the health of the environment, and human health. This article is a follow-up to that original article. From an environmental perspective, watersheds segregate landscapes into geospatial units that may be relevant to human health outcomes. From an epidemiologic perspective, the watershed concept places anthropogenic health data into a geospatial framework that has environmental relevance. Research discussed in this article includes information gathered from the literature, as well as recent data collected and analyzed by this research group. It is our contention that the use of watersheds to stratify geospatial information may be both environmentally and epidemiologically valuable. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 19% |
| Student > Ph. D. Student | 6 | 14% |
| Researcher | 4 | 10% |
| Student > Doctoral Student | 3 | 7% |
| Other | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 15 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 5 | 12% |
| Medicine and Dentistry | 5 | 12% |
| Engineering | 4 | 10% |
| Social Sciences | 3 | 7% |
| Nursing and Health Professions | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 16 | 38% |