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Environmental epidemiologic analyses...

Dearwent, Steve M.

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Environmental epidemiologic analyses using a geographic information system.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Environmental epidemiologic analyses using a geographic information system./
Author:	Dearwent, Steve M.
Description:	109 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-05, Section: B, page: 2370.
Contained By:	Dissertation Abstracts International65-05B.
Subject:	Health Sciences, Public Health. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3132296
ISBN:	0496795365

Environmental epidemiologic analyses using a geographic information system.
Dearwent, Steve M.

Environmental epidemiologic analyses using a geographic information system. - 109 p.

Source: Dissertation Abstracts International, Volume: 65-05, Section: B, page: 2370.

Thesis (Ph.D.)--The University of Alabama at Birmingham, 2004.

Geographic information systems (GIS) are evolving into a viable public health research tool. Increases in computer speed, display, and memory, combined with developments in epidemiologic methods, are furthering this cause. Epidemiology has a long history of studying the spatial dimensions of disease transmission, rates of occurrence, and resulting morbidity or mortality. Ecologic analyses have an obvious relation to geography because it is the link between exposure and health. Many of the first GIS-based epidemiologic studies published in the early 1990s were ecologic investigations. However, this study design is clearly weaker compared to individual-level analyses. The focus of this dissertation is the application of GIS in case-control epidemiologic investigations. The studies of asthma prevalence and cancer incidence demonstrate approaches for linking individual-level measures of exposure and health outcome by using spatial relationships. Along with these 2 case-control investigations, there is an examination of the uncertainty associated with spatially locating subjects in epidemiologic studies. Together, the analyses in this dissertation illustrate unique approaches to geographically referencing health outcome data, controlling study subjects' residential mobility, and identifying population-based control groups. The case-control studies also demonstrate significant associations between environmental indices and both asthma prevalence and cancer incidence.

ISBN: 0496795365Subjects--Topical Terms:

1017659
Health Sciences, Public Health.

Environmental epidemiologic analyses using a geographic information system.
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100 1 $a Dearwent, Steve M. $3 1927959
245 1 0 $a Environmental epidemiologic analyses using a geographic information system.
300 $a 109 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-05, Section: B, page: 2370.
500 $a Chair: R. Kent Oestenstad.
502 $a Thesis (Ph.D.)--The University of Alabama at Birmingham, 2004.
520 $a Geographic information systems (GIS) are evolving into a viable public health research tool. Increases in computer speed, display, and memory, combined with developments in epidemiologic methods, are furthering this cause. Epidemiology has a long history of studying the spatial dimensions of disease transmission, rates of occurrence, and resulting morbidity or mortality. Ecologic analyses have an obvious relation to geography because it is the link between exposure and health. Many of the first GIS-based epidemiologic studies published in the early 1990s were ecologic investigations. However, this study design is clearly weaker compared to individual-level analyses. The focus of this dissertation is the application of GIS in case-control epidemiologic investigations. The studies of asthma prevalence and cancer incidence demonstrate approaches for linking individual-level measures of exposure and health outcome by using spatial relationships. Along with these 2 case-control investigations, there is an examination of the uncertainty associated with spatially locating subjects in epidemiologic studies. Together, the analyses in this dissertation illustrate unique approaches to geographically referencing health outcome data, controlling study subjects' residential mobility, and identifying population-based control groups. The case-control studies also demonstrate significant associations between environmental indices and both asthma prevalence and cancer incidence.
590 $a School code: 0005.
650 4 $a Health Sciences, Public Health. $3 1017659
650 4 $a Biology, Biostatistics. $3 1018416
690 $a 0573
690 $a 0308
710 2 0 $a The University of Alabama at Birmingham. $3 1019443
773 0 $t Dissertation Abstracts International $g 65-05B.
790 1 0 $a Oestenstad, R. Kent, $e advisor
790 $a 0005
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3132296