Skip to main navigation Skip to search Skip to main content

Applications of geographic information systems and geo-spatial modeling in environmental epidemiology

  • John E. Vena
  • , Sara E. Wagner
  • , Stephen L. Rathbun
  • University of Georgia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The ability of environmental epidemiology to determine the relationships between health and environmental insults has become exceedingly difficult. The multifactorial nature of disease and the diversity of the insults, which include biologic, physical, social and cultural factors, combined with genetic susceptibility, suggest the need to incorporate comprehensive perspectives of multidisciplinary epidemiologic investigation; utilize tools, such as geographic information systems (GIS) and other geospatial methods, which can integrate multi-level, spatial, and temporal factors and can help limit the potential for misclassification of exposure estimates; and to encourage collaborations and creativity in the field of environmental epidemiology. Examples of applications in cancer epidemiology will be presented. Statistical challenges to linking spatial pattern of cancer to radiation exposure will be discussed.

Original languageEnglish
Title of host publicationProceedings of the ITI 2013 - 35th International Conference on Information Technology Interfaces
Pages29-34
Number of pages6
DOIs
StatePublished - 2013
Event35th International Conference on Information Technology Interfaces, ITI 2013 - Cavtat / Dubrovnik, Croatia
Duration: Jun 24 2013Jun 27 2013

Publication series

NameProceedings of the International Conference on Information Technology Interfaces, ITI

Conference

Conference35th International Conference on Information Technology Interfaces, ITI 2013
Country/TerritoryCroatia
CityCavtat / Dubrovnik
Period06/24/1306/27/13

Fingerprint

Dive into the research topics of 'Applications of geographic information systems and geo-spatial modeling in environmental epidemiology'. Together they form a unique fingerprint.

Cite this