Improving exposure assessment in environmental epidemiology: Application of spatio-temporal visualization tools
dc.contributor.author | Nriagu, Jerome O. | en_US |
dc.contributor.author | AvRuskin, Gillian A. | en_US |
dc.contributor.author | Kaufmann, Andrew | en_US |
dc.contributor.author | Jacquez, Geoffrey M. | en_US |
dc.contributor.author | Slotnick, Melissa J. | en_US |
dc.contributor.author | Meliker, Jaymie R. | en_US |
dc.date.accessioned | 2006-09-11T19:33:56Z | |
dc.date.available | 2006-09-11T19:33:56Z | |
dc.date.issued | 2005-05 | en_US |
dc.identifier.citation | Meliker, 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.issn | 1435-5930 | en_US |
dc.identifier.issn | 1435-5949 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/47931 | |
dc.description.abstract | A 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.extent | 430751 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Springer-Verlag; Springer-Verlag Berlin Heidelberg | en_US |
dc.subject.other | STIS | en_US |
dc.subject.other | Regional Science | en_US |
dc.subject.other | Arsenic | en_US |
dc.subject.other | Exposure | en_US |
dc.subject.other | Epidemiology | en_US |
dc.subject.other | Geography (General) | en_US |
dc.subject.other | GIS | en_US |
dc.subject.other | Economics / Management Science | en_US |
dc.title | Improving exposure assessment in environmental epidemiology: Application of spatio-temporal visualization tools | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Philosophy | en_US |
dc.subject.hlbsecondlevel | Natural Resources and Environment | en_US |
dc.subject.hlbsecondlevel | Geography and Maps | en_US |
dc.subject.hlbsecondlevel | Civil and Environmental Engineering | en_US |
dc.subject.hlbsecondlevel | Atmospheric, Oceanic and Space Sciences | en_US |
dc.subject.hlbtoplevel | Humanities | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Environmental Health Sciences, School of Public Health, , University of Michigan, , Ann Arbor, MI, 48109-2029, USA | en_US |
dc.contributor.affiliationum | Department of Environmental Health Sciences, School of Public Health, , University of Michigan, , Ann Arbor, MI, 48109-2029, USA | en_US |
dc.contributor.affiliationum | Department of Environmental Health Sciences, School of Public Health, , University of Michigan, , Ann Arbor, MI, 48109-2029, USA | en_US |
dc.contributor.affiliationother | BioMedware Inc., , 516 N. State St., Ann Arbor, MI, 48104, USA | en_US |
dc.contributor.affiliationother | BioMedware Inc., , 516 N. State St., Ann Arbor, MI, 48104, USA | en_US |
dc.contributor.affiliationother | BioMedware Inc., , 516 N. State St., Ann Arbor, MI, 48104, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/47931/1/10109_2005_Article_149.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/s10109-005-0149-4 | en_US |
dc.identifier.source | Journal of Geographical Systems | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.