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dc.contributor.authorMahoney, Kevin
dc.date.accessioned2019-02-19T04:07:42Z
dc.date.available2019-02-19T04:07:42Z
dc.date.created2018-12
dc.date.issued2018-12
dc.identifier.urihttp://hdl.handle.net/123456789/7935
dc.description.abstractThis study examines the spatial and non-spatial relationships between lymphoma and leukemia cases and glyphosate usage, number of farms and total cropland. Cancer, pesticide and land use data was obtained from SEER, USGS and ESRI and applied to the 99 counties in Iowa. ArcGIS was used to visually display the data along with analyze the relationships through OLS and GWR regression models. The use of the regressions determine if there is any spatial and non- spatial relationships between lymphoma and leukemia cases to glyphosate usage, number of farms and total cropland per county. The statistical analyses concluded that all three of the independent variables did not show any statistical relationship to leukemia and lymphoma. The results concluded that the study was missing key independent variables from the model thus leading to further research needed on possible risk factors.en
dc.language.isoen_USen
dc.subjectblood canceren
dc.subjectleukemiaen
dc.subjectlymphomaen
dc.subjectglyphosateen
dc.subjectIowaen
dc.subjectGISen
dc.subjectspatial-temporalen
dc.titleThe Impact of Glyphosate Exposure on Leukemia and Lymphoma Cases in the State of Iowaen
dc.typeThesisen


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