Loading…

Interactive analysis of the spatial distribution of disease using a geographic information system

Geographic information systems (GIS) provide a variety of tools for the manipulation and display of public health data. Few, however, enable users to interactively evaluate hypotheses on spatial trends in disease risk that may be suggested by maps of measures of disease impact. We addressed this lim...

Full description

Saved in:
Bibliographic Details
Published in:Journal of geographical systems 2000-09, Vol.2 (3), p.243-256
Main Authors: WALL, Patrick A, DEVINE, Owen J
Format: Article
Language:English
Subjects:
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c231t-1fdc8c8ccd58af5adec7b54e61458743b088c2c428a33fdb2b89a5199e55c99f3
cites
container_end_page 256
container_issue 3
container_start_page 243
container_title Journal of geographical systems
container_volume 2
creator WALL, Patrick A
DEVINE, Owen J
description Geographic information systems (GIS) provide a variety of tools for the manipulation and display of public health data. Few, however, enable users to interactively evaluate hypotheses on spatial trends in disease risk that may be suggested by maps of measures of disease impact. We addressed this limitation by developing a seamless interface between a commercial GIS and a suite of spatial analysis algorithms. Users of the system can utilize the GIS's capability to interactively select and manipulate geographically referenced data and, through a series of pull-down menus, apply a variety of exploratory analysis methods to this information. In the presented application, we illustrate this capability by including algorithms for the reduction of random noise in observed incidence rates, for the detection of unusual aggregations of disease events, and for the statistical evaluation of inferences drawn from spatial trends. We demonstrate this application by examining lung cancer mortality in the state of Ohio.
doi_str_mv 10.1007/PL00011457
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_230097674</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>982213371</sourcerecordid><originalsourceid>FETCH-LOGICAL-c231t-1fdc8c8ccd58af5adec7b54e61458743b088c2c428a33fdb2b89a5199e55c99f3</originalsourceid><addsrcrecordid>eNpFkE9LAzEQxYMoWKsXP0EQT8Jqstk0m6OIfwoFPeh5mc0mbcp2s2ayQr-9W1ssc5gZ5jcP3iPkmrN7zph6-FgwxjgvpDohE14ImUld6NP_WbBzcoG4HiEluZoQmHfJRjDJ_1gKHbRb9EiDo2llKfaQPLS08Ziir4fkQ7e7jbsFtHRA3y0p0KUNywj9yhvqOxfiBv5I3GKym0ty5qBFe3XoU_L18vz59JYt3l_nT4-LzOSCp4y7xpRjmUaW4CQ01qhaFnY2milVIWpWliY3RV6CEK6p87rUILnWVkqjtRNTcrPX7WP4Hiymah2GODrCKheMaTUbVabkbg-ZGBCjdVUf_QbituKs2iVYHRMc4duDIqCB1kXojMfjh8yZnhXiF14icWM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>230097674</pqid></control><display><type>article</type><title>Interactive analysis of the spatial distribution of disease using a geographic information system</title><source>EconLit s plnými texty</source><source>Business Source Ultimate【Trial: -2024/12/31】【Remote access available】</source><source>ABI/INFORM Global (ProQuest)</source><source>Springer Nature</source><creator>WALL, Patrick A ; DEVINE, Owen J</creator><creatorcontrib>WALL, Patrick A ; DEVINE, Owen J</creatorcontrib><description>Geographic information systems (GIS) provide a variety of tools for the manipulation and display of public health data. Few, however, enable users to interactively evaluate hypotheses on spatial trends in disease risk that may be suggested by maps of measures of disease impact. We addressed this limitation by developing a seamless interface between a commercial GIS and a suite of spatial analysis algorithms. Users of the system can utilize the GIS's capability to interactively select and manipulate geographically referenced data and, through a series of pull-down menus, apply a variety of exploratory analysis methods to this information. In the presented application, we illustrate this capability by including algorithms for the reduction of random noise in observed incidence rates, for the detection of unusual aggregations of disease events, and for the statistical evaluation of inferences drawn from spatial trends. We demonstrate this application by examining lung cancer mortality in the state of Ohio.</description><identifier>ISSN: 1435-5930</identifier><identifier>EISSN: 1435-5949</identifier><identifier>DOI: 10.1007/PL00011457</identifier><language>eng</language><publisher>Berlin: Springer</publisher><subject>Algorithms ; Biological and medical sciences ; Customization ; Disease control ; Geographic information systems ; Health risks ; Hypotheses ; Lung cancer ; Medical sciences ; Miscellaneous ; Mortality ; Public health ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Remote sensing ; Research centers ; Software ; Spatial analysis ; Spatial distribution ; Trends</subject><ispartof>Journal of geographical systems, 2000-09, Vol.2 (3), p.243-256</ispartof><rights>2000 INIST-CNRS</rights><rights>Springer-Verlag Berlin Heidelberg 2000</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c231t-1fdc8c8ccd58af5adec7b54e61458743b088c2c428a33fdb2b89a5199e55c99f3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/230097674/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/230097674?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,44363,74895</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=1520964$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>WALL, Patrick A</creatorcontrib><creatorcontrib>DEVINE, Owen J</creatorcontrib><title>Interactive analysis of the spatial distribution of disease using a geographic information system</title><title>Journal of geographical systems</title><description>Geographic information systems (GIS) provide a variety of tools for the manipulation and display of public health data. Few, however, enable users to interactively evaluate hypotheses on spatial trends in disease risk that may be suggested by maps of measures of disease impact. We addressed this limitation by developing a seamless interface between a commercial GIS and a suite of spatial analysis algorithms. Users of the system can utilize the GIS's capability to interactively select and manipulate geographically referenced data and, through a series of pull-down menus, apply a variety of exploratory analysis methods to this information. In the presented application, we illustrate this capability by including algorithms for the reduction of random noise in observed incidence rates, for the detection of unusual aggregations of disease events, and for the statistical evaluation of inferences drawn from spatial trends. We demonstrate this application by examining lung cancer mortality in the state of Ohio.</description><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>Customization</subject><subject>Disease control</subject><subject>Geographic information systems</subject><subject>Health risks</subject><subject>Hypotheses</subject><subject>Lung cancer</subject><subject>Medical sciences</subject><subject>Miscellaneous</subject><subject>Mortality</subject><subject>Public health</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Remote sensing</subject><subject>Research centers</subject><subject>Software</subject><subject>Spatial analysis</subject><subject>Spatial distribution</subject><subject>Trends</subject><issn>1435-5930</issn><issn>1435-5949</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNpFkE9LAzEQxYMoWKsXP0EQT8Jqstk0m6OIfwoFPeh5mc0mbcp2s2ayQr-9W1ssc5gZ5jcP3iPkmrN7zph6-FgwxjgvpDohE14ImUld6NP_WbBzcoG4HiEluZoQmHfJRjDJ_1gKHbRb9EiDo2llKfaQPLS08Ziir4fkQ7e7jbsFtHRA3y0p0KUNywj9yhvqOxfiBv5I3GKym0ty5qBFe3XoU_L18vz59JYt3l_nT4-LzOSCp4y7xpRjmUaW4CQ01qhaFnY2milVIWpWliY3RV6CEK6p87rUILnWVkqjtRNTcrPX7WP4Hiymah2GODrCKheMaTUbVabkbg-ZGBCjdVUf_QbituKs2iVYHRMc4duDIqCB1kXojMfjh8yZnhXiF14icWM</recordid><startdate>20000901</startdate><enddate>20000901</enddate><creator>WALL, Patrick A</creator><creator>DEVINE, Owen J</creator><general>Springer</general><general>Springer Nature B.V</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>KR7</scope><scope>L.-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>PYYUZ</scope><scope>Q9U</scope></search><sort><creationdate>20000901</creationdate><title>Interactive analysis of the spatial distribution of disease using a geographic information system</title><author>WALL, Patrick A ; DEVINE, Owen J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c231t-1fdc8c8ccd58af5adec7b54e61458743b088c2c428a33fdb2b89a5199e55c99f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Algorithms</topic><topic>Biological and medical sciences</topic><topic>Customization</topic><topic>Disease control</topic><topic>Geographic information systems</topic><topic>Health risks</topic><topic>Hypotheses</topic><topic>Lung cancer</topic><topic>Medical sciences</topic><topic>Miscellaneous</topic><topic>Mortality</topic><topic>Public health</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Remote sensing</topic><topic>Research centers</topic><topic>Software</topic><topic>Spatial analysis</topic><topic>Spatial distribution</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>WALL, Patrick A</creatorcontrib><creatorcontrib>DEVINE, Owen J</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ABI商业信息数据库</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global (ProQuest)</collection><collection>ProQuest research library</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of geographical systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>WALL, Patrick A</au><au>DEVINE, Owen J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interactive analysis of the spatial distribution of disease using a geographic information system</atitle><jtitle>Journal of geographical systems</jtitle><date>2000-09-01</date><risdate>2000</risdate><volume>2</volume><issue>3</issue><spage>243</spage><epage>256</epage><pages>243-256</pages><issn>1435-5930</issn><eissn>1435-5949</eissn><abstract>Geographic information systems (GIS) provide a variety of tools for the manipulation and display of public health data. Few, however, enable users to interactively evaluate hypotheses on spatial trends in disease risk that may be suggested by maps of measures of disease impact. We addressed this limitation by developing a seamless interface between a commercial GIS and a suite of spatial analysis algorithms. Users of the system can utilize the GIS's capability to interactively select and manipulate geographically referenced data and, through a series of pull-down menus, apply a variety of exploratory analysis methods to this information. In the presented application, we illustrate this capability by including algorithms for the reduction of random noise in observed incidence rates, for the detection of unusual aggregations of disease events, and for the statistical evaluation of inferences drawn from spatial trends. We demonstrate this application by examining lung cancer mortality in the state of Ohio.</abstract><cop>Berlin</cop><pub>Springer</pub><doi>10.1007/PL00011457</doi><tpages>14</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1435-5930
ispartof Journal of geographical systems, 2000-09, Vol.2 (3), p.243-256
issn 1435-5930
1435-5949
language eng
recordid cdi_proquest_journals_230097674
source EconLit s plnými texty; Business Source Ultimate【Trial: -2024/12/31】【Remote access available】; ABI/INFORM Global (ProQuest); Springer Nature
subjects Algorithms
Biological and medical sciences
Customization
Disease control
Geographic information systems
Health risks
Hypotheses
Lung cancer
Medical sciences
Miscellaneous
Mortality
Public health
Public health. Hygiene
Public health. Hygiene-occupational medicine
Remote sensing
Research centers
Software
Spatial analysis
Spatial distribution
Trends
title Interactive analysis of the spatial distribution of disease using a geographic information system
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T06%3A00%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Interactive%20analysis%20of%20the%20spatial%20distribution%20of%20disease%20using%20a%20geographic%20information%20system&rft.jtitle=Journal%20of%20geographical%20systems&rft.au=WALL,%20Patrick%20A&rft.date=2000-09-01&rft.volume=2&rft.issue=3&rft.spage=243&rft.epage=256&rft.pages=243-256&rft.issn=1435-5930&rft.eissn=1435-5949&rft_id=info:doi/10.1007/PL00011457&rft_dat=%3Cproquest_cross%3E982213371%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c231t-1fdc8c8ccd58af5adec7b54e61458743b088c2c428a33fdb2b89a5199e55c99f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=230097674&rft_id=info:pmid/&rfr_iscdi=true