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Improving exposure assessment in environmental epidemiology: Application of spatio-temporal visualization tools

dc.contributor.authorNriagu, Jerome O.en_US
dc.contributor.authorAvRuskin, Gillian A.en_US
dc.contributor.authorKaufmann, Andrewen_US
dc.contributor.authorJacquez, Geoffrey M.en_US
dc.contributor.authorSlotnick, Melissa J.en_US
dc.contributor.authorMeliker, Jaymie R.en_US
dc.date.accessioned2006-09-11T19:33:56Z
dc.date.available2006-09-11T19:33:56Z
dc.date.issued2005-05en_US
dc.identifier.citationMeliker, Jaymie R.; Slotnick, Melissa J.; AvRuskin, Gillian A.; Kaufmann, Andrew; Jacquez, Geoffrey M.; Nriagu, Jerome O.; (2005). "Improving exposure assessment in environmental epidemiology: Application of spatio-temporal visualization tools." Journal of Geographical Systems 7(1): 49-66. <http://hdl.handle.net/2027.42/47931>en_US
dc.identifier.issn1435-5930en_US
dc.identifier.issn1435-5949en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/47931
dc.description.abstractA thorough assessment of human exposure to environmental agents should incorporate mobility patterns and temporal changes in human behaviors and concentrations of contaminants; yet the temporal dimension is often under-emphasized in exposure assessment endeavors, due in part to insufficient tools for visualizing and examining temporal datasets. Spatio-temporal visualization tools are valuable for integrating a temporal component, thus allowing for examination of continuous exposure histories in environmental epidemiologic investigations. An application of these tools to a bladder cancer case-control study in Michigan illustrates continuous exposure life-lines and maps that display smooth, continuous changes over time. Preliminary results suggest increased risk of bladder cancer from combined exposure to arsenic in drinking water (>25 μ g/day) and heavy smoking (>30 cigarettes/day) in the 1970s and 1980s, and a possible cancer cluster around automotive, paint, and organic chemical industries in the early 1970s. These tools have broad application for examining spatially- and temporally-specific relationships between exposures to environmental risk factors and disease.en_US
dc.format.extent430751 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlag; Springer-Verlag Berlin Heidelbergen_US
dc.subject.otherSTISen_US
dc.subject.otherRegional Scienceen_US
dc.subject.otherArsenicen_US
dc.subject.otherExposureen_US
dc.subject.otherEpidemiologyen_US
dc.subject.otherGeography (General)en_US
dc.subject.otherGISen_US
dc.subject.otherEconomics / Management Scienceen_US
dc.titleImproving exposure assessment in environmental epidemiology: Application of spatio-temporal visualization toolsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPhilosophyen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelGeography and Mapsen_US
dc.subject.hlbsecondlevelCivil and Environmental Engineeringen_US
dc.subject.hlbsecondlevelAtmospheric, Oceanic and Space Sciencesen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Environmental Health Sciences, School of Public Health, , University of Michigan, , Ann Arbor, MI, 48109-2029, USAen_US
dc.contributor.affiliationumDepartment of Environmental Health Sciences, School of Public Health, , University of Michigan, , Ann Arbor, MI, 48109-2029, USAen_US
dc.contributor.affiliationumDepartment of Environmental Health Sciences, School of Public Health, , University of Michigan, , Ann Arbor, MI, 48109-2029, USAen_US
dc.contributor.affiliationotherBioMedware Inc., , 516 N. State St., Ann Arbor, MI, 48104, USAen_US
dc.contributor.affiliationotherBioMedware Inc., , 516 N. State St., Ann Arbor, MI, 48104, USAen_US
dc.contributor.affiliationotherBioMedware Inc., , 516 N. State St., Ann Arbor, MI, 48104, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/47931/1/10109_2005_Article_149.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s10109-005-0149-4en_US
dc.identifier.sourceJournal of Geographical Systemsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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