Loading…
Geographic Epidemiology of Gonorrhea in Baltimore, Maryland, Using a Geographic Information System
The epidemiology of gonorrhea is characterized by geographically defined hyperendemic areas, or “cores.” Geographic information system (GIS) technology offers new opportunities to evaluate these patterns. The authors developed a GIS system linked to the disease surveillance database at the Baltimore...
Saved in:
Published in: | American journal of epidemiology 1998-04, Vol.147 (7), p.709-716 |
---|---|
Main Authors: | , , , |
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-c464t-ed1b43e2c0ce62a0929b77a40c3b8aa1dc6a483a057c2819fa8d30853a874a783 |
---|---|
cites | |
container_end_page | 716 |
container_issue | 7 |
container_start_page | 709 |
container_title | American journal of epidemiology |
container_volume | 147 |
creator | Becker, Karen M. Glass, Gregory E. Brathwaite, Wayne Zenilman, Jonathan M. |
description | The epidemiology of gonorrhea is characterized by geographically defined hyperendemic areas, or “cores.” Geographic information system (GIS) technology offers new opportunities to evaluate these patterns. The authors developed a GIS system linked to the disease surveillance database at the Baltimore Health Department and used this system to evaluate the geographic epidemiology of gonorrhea in Baltimore, Maryland, during 1994. There were 7,330 reported cases, of which 87.4% were in persons aged 15–39 years; 56.6% were of the cases were in males; and 60.5% of the cases were reported from the nonsexually transmitted disease (STD) clinic sector. Valid residential addresses were available for 6,831 (93.5%) of cases. In the GIS system, gonorrhea cases were geocoded by reported address using digitized maps, and assigned to censustract. Census tract-specific rates for persons aged 15–39 years were calculated using 1990 census data. Gonorrhea was reported from 196/202 (97%) of census tracts, of which 90 census tracts had >30 cases. For these 90 census tracts, rates were ranked. The core was considered as the top rate quartile, consisting of 13 geographically contiguous census tracts with rates 4,370–6,370 per 100,000; adjacent areas were 19 census tracts in the second quartile (rates: 3,730–4, 370 per 100,000). As radial distance from the core areas increased, incidence rates decreased and male/female ratio increased, which is consistent with previous definitions of the core theory of STD transmission. Mapping of cases by provider showed that cases reported from STD clinics had similar geographic distribution to those from the non-STD clinic sector. From an operational perspective, GIS can be effectively integrated with clinical data systems to provide epidemiologic analysis. Am J Epidemiol 1998;147:709–16. |
doi_str_mv | 10.1093/oxfordjournals.aje.a009513 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_79807293</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>79807293</sourcerecordid><originalsourceid>FETCH-LOGICAL-c464t-ed1b43e2c0ce62a0929b77a40c3b8aa1dc6a483a057c2819fa8d30853a874a783</originalsourceid><addsrcrecordid>eNqFkUFvEzEQhS0EKqHwE5AshDh1w9jetdfcaNWmlYIQgiLUizXr9aYOu-tgb6Tm39dVoghOnObwvpl5M4-QdwzmDLT4GB66ENt12MYR-zTHtZsjgK6YeEZmrFSykLySz8kMAHihueQvyauU1gCM6QpOyImuqlIyNiPNwoVVxM29t_Ry41s3-NCH1Y6Gji7CGGK8d0j9SM-xn_wQojujXzDuehzbM3qb_LiiSP8acjNmbwNOPoz0-y5NbnhNXnTZpntzqKfk9uryx8V1sfy6uLn4vCxsKcupcC1rSuG4BeskR9BcN0phCVY0NSJrrcSyFgiVsrxmusO6FVBXAmtVoqrFKfmwn7uJ4c_WpckMPlnXZ6subJNRugbFtfgvyGTJuQSWwU970MaQUnSd2UQ_5OsNA_OUhPk3CZOTMIckcvPbw5ZtM7j22Hp4fdbfH3RMFvsu4mh9OmKcg2AaMlbsMZ9_-XCUMf42UglVmetfd2ap1NXdt59gzsUjtFOncg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>16422601</pqid></control><display><type>article</type><title>Geographic Epidemiology of Gonorrhea in Baltimore, Maryland, Using a Geographic Information System</title><source>Oxford University Press:Jisc Collections:OUP Read and Publish 2024-2025 (2024 collection) (Reading list)</source><creator>Becker, Karen M. ; Glass, Gregory E. ; Brathwaite, Wayne ; Zenilman, Jonathan M.</creator><creatorcontrib>Becker, Karen M. ; Glass, Gregory E. ; Brathwaite, Wayne ; Zenilman, Jonathan M.</creatorcontrib><description>The epidemiology of gonorrhea is characterized by geographically defined hyperendemic areas, or “cores.” Geographic information system (GIS) technology offers new opportunities to evaluate these patterns. The authors developed a GIS system linked to the disease surveillance database at the Baltimore Health Department and used this system to evaluate the geographic epidemiology of gonorrhea in Baltimore, Maryland, during 1994. There were 7,330 reported cases, of which 87.4% were in persons aged 15–39 years; 56.6% were of the cases were in males; and 60.5% of the cases were reported from the nonsexually transmitted disease (STD) clinic sector. Valid residential addresses were available for 6,831 (93.5%) of cases. In the GIS system, gonorrhea cases were geocoded by reported address using digitized maps, and assigned to censustract. Census tract-specific rates for persons aged 15–39 years were calculated using 1990 census data. Gonorrhea was reported from 196/202 (97%) of census tracts, of which 90 census tracts had >30 cases. For these 90 census tracts, rates were ranked. The core was considered as the top rate quartile, consisting of 13 geographically contiguous census tracts with rates 4,370–6,370 per 100,000; adjacent areas were 19 census tracts in the second quartile (rates: 3,730–4, 370 per 100,000). As radial distance from the core areas increased, incidence rates decreased and male/female ratio increased, which is consistent with previous definitions of the core theory of STD transmission. Mapping of cases by provider showed that cases reported from STD clinics had similar geographic distribution to those from the non-STD clinic sector. From an operational perspective, GIS can be effectively integrated with clinical data systems to provide epidemiologic analysis. Am J Epidemiol 1998;147:709–16.</description><identifier>ISSN: 0002-9262</identifier><identifier>EISSN: 1476-6256</identifier><identifier>DOI: 10.1093/oxfordjournals.aje.a009513</identifier><identifier>PMID: 9554611</identifier><identifier>CODEN: AJEPAS</identifier><language>eng</language><publisher>Cary, NC: Oxford University Press</publisher><subject>Adolescent ; Adult ; Bacterial diseases ; Bacterial diseases of the genital system ; Baltimore - epidemiology ; Biological and medical sciences ; Epidemiologic Methods ; Female ; geographic information systems ; Geography ; gonorrhea ; Gonorrhea - epidemiology ; Gonorrhea - transmission ; Human bacterial diseases ; Humans ; Infectious diseases ; Male ; Medical sciences ; Neisseria gonorrhoeae - isolation & purification ; Space-Time Clustering</subject><ispartof>American journal of epidemiology, 1998-04, Vol.147 (7), p.709-716</ispartof><rights>1998 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c464t-ed1b43e2c0ce62a0929b77a40c3b8aa1dc6a483a057c2819fa8d30853a874a783</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2203190$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9554611$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Becker, Karen M.</creatorcontrib><creatorcontrib>Glass, Gregory E.</creatorcontrib><creatorcontrib>Brathwaite, Wayne</creatorcontrib><creatorcontrib>Zenilman, Jonathan M.</creatorcontrib><title>Geographic Epidemiology of Gonorrhea in Baltimore, Maryland, Using a Geographic Information System</title><title>American journal of epidemiology</title><addtitle>Am J Epidemiol</addtitle><description>The epidemiology of gonorrhea is characterized by geographically defined hyperendemic areas, or “cores.” Geographic information system (GIS) technology offers new opportunities to evaluate these patterns. The authors developed a GIS system linked to the disease surveillance database at the Baltimore Health Department and used this system to evaluate the geographic epidemiology of gonorrhea in Baltimore, Maryland, during 1994. There were 7,330 reported cases, of which 87.4% were in persons aged 15–39 years; 56.6% were of the cases were in males; and 60.5% of the cases were reported from the nonsexually transmitted disease (STD) clinic sector. Valid residential addresses were available for 6,831 (93.5%) of cases. In the GIS system, gonorrhea cases were geocoded by reported address using digitized maps, and assigned to censustract. Census tract-specific rates for persons aged 15–39 years were calculated using 1990 census data. Gonorrhea was reported from 196/202 (97%) of census tracts, of which 90 census tracts had >30 cases. For these 90 census tracts, rates were ranked. The core was considered as the top rate quartile, consisting of 13 geographically contiguous census tracts with rates 4,370–6,370 per 100,000; adjacent areas were 19 census tracts in the second quartile (rates: 3,730–4, 370 per 100,000). As radial distance from the core areas increased, incidence rates decreased and male/female ratio increased, which is consistent with previous definitions of the core theory of STD transmission. Mapping of cases by provider showed that cases reported from STD clinics had similar geographic distribution to those from the non-STD clinic sector. From an operational perspective, GIS can be effectively integrated with clinical data systems to provide epidemiologic analysis. Am J Epidemiol 1998;147:709–16.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Bacterial diseases</subject><subject>Bacterial diseases of the genital system</subject><subject>Baltimore - epidemiology</subject><subject>Biological and medical sciences</subject><subject>Epidemiologic Methods</subject><subject>Female</subject><subject>geographic information systems</subject><subject>Geography</subject><subject>gonorrhea</subject><subject>Gonorrhea - epidemiology</subject><subject>Gonorrhea - transmission</subject><subject>Human bacterial diseases</subject><subject>Humans</subject><subject>Infectious diseases</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Neisseria gonorrhoeae - isolation & purification</subject><subject>Space-Time Clustering</subject><issn>0002-9262</issn><issn>1476-6256</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><recordid>eNqFkUFvEzEQhS0EKqHwE5AshDh1w9jetdfcaNWmlYIQgiLUizXr9aYOu-tgb6Tm39dVoghOnObwvpl5M4-QdwzmDLT4GB66ENt12MYR-zTHtZsjgK6YeEZmrFSykLySz8kMAHihueQvyauU1gCM6QpOyImuqlIyNiPNwoVVxM29t_Ry41s3-NCH1Y6Gji7CGGK8d0j9SM-xn_wQojujXzDuehzbM3qb_LiiSP8acjNmbwNOPoz0-y5NbnhNXnTZpntzqKfk9uryx8V1sfy6uLn4vCxsKcupcC1rSuG4BeskR9BcN0phCVY0NSJrrcSyFgiVsrxmusO6FVBXAmtVoqrFKfmwn7uJ4c_WpckMPlnXZ6subJNRugbFtfgvyGTJuQSWwU970MaQUnSd2UQ_5OsNA_OUhPk3CZOTMIckcvPbw5ZtM7j22Hp4fdbfH3RMFvsu4mh9OmKcg2AaMlbsMZ9_-XCUMf42UglVmetfd2ap1NXdt59gzsUjtFOncg</recordid><startdate>19980401</startdate><enddate>19980401</enddate><creator>Becker, Karen M.</creator><creator>Glass, Gregory E.</creator><creator>Brathwaite, Wayne</creator><creator>Zenilman, Jonathan M.</creator><general>Oxford University Press</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>C1K</scope><scope>7X8</scope></search><sort><creationdate>19980401</creationdate><title>Geographic Epidemiology of Gonorrhea in Baltimore, Maryland, Using a Geographic Information System</title><author>Becker, Karen M. ; Glass, Gregory E. ; Brathwaite, Wayne ; Zenilman, Jonathan M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c464t-ed1b43e2c0ce62a0929b77a40c3b8aa1dc6a483a057c2819fa8d30853a874a783</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Bacterial diseases</topic><topic>Bacterial diseases of the genital system</topic><topic>Baltimore - epidemiology</topic><topic>Biological and medical sciences</topic><topic>Epidemiologic Methods</topic><topic>Female</topic><topic>geographic information systems</topic><topic>Geography</topic><topic>gonorrhea</topic><topic>Gonorrhea - epidemiology</topic><topic>Gonorrhea - transmission</topic><topic>Human bacterial diseases</topic><topic>Humans</topic><topic>Infectious diseases</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Neisseria gonorrhoeae - isolation & purification</topic><topic>Space-Time Clustering</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Becker, Karen M.</creatorcontrib><creatorcontrib>Glass, Gregory E.</creatorcontrib><creatorcontrib>Brathwaite, Wayne</creatorcontrib><creatorcontrib>Zenilman, Jonathan M.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Becker, Karen M.</au><au>Glass, Gregory E.</au><au>Brathwaite, Wayne</au><au>Zenilman, Jonathan M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geographic Epidemiology of Gonorrhea in Baltimore, Maryland, Using a Geographic Information System</atitle><jtitle>American journal of epidemiology</jtitle><addtitle>Am J Epidemiol</addtitle><date>1998-04-01</date><risdate>1998</risdate><volume>147</volume><issue>7</issue><spage>709</spage><epage>716</epage><pages>709-716</pages><issn>0002-9262</issn><eissn>1476-6256</eissn><coden>AJEPAS</coden><abstract>The epidemiology of gonorrhea is characterized by geographically defined hyperendemic areas, or “cores.” Geographic information system (GIS) technology offers new opportunities to evaluate these patterns. The authors developed a GIS system linked to the disease surveillance database at the Baltimore Health Department and used this system to evaluate the geographic epidemiology of gonorrhea in Baltimore, Maryland, during 1994. There were 7,330 reported cases, of which 87.4% were in persons aged 15–39 years; 56.6% were of the cases were in males; and 60.5% of the cases were reported from the nonsexually transmitted disease (STD) clinic sector. Valid residential addresses were available for 6,831 (93.5%) of cases. In the GIS system, gonorrhea cases were geocoded by reported address using digitized maps, and assigned to censustract. Census tract-specific rates for persons aged 15–39 years were calculated using 1990 census data. Gonorrhea was reported from 196/202 (97%) of census tracts, of which 90 census tracts had >30 cases. For these 90 census tracts, rates were ranked. The core was considered as the top rate quartile, consisting of 13 geographically contiguous census tracts with rates 4,370–6,370 per 100,000; adjacent areas were 19 census tracts in the second quartile (rates: 3,730–4, 370 per 100,000). As radial distance from the core areas increased, incidence rates decreased and male/female ratio increased, which is consistent with previous definitions of the core theory of STD transmission. Mapping of cases by provider showed that cases reported from STD clinics had similar geographic distribution to those from the non-STD clinic sector. From an operational perspective, GIS can be effectively integrated with clinical data systems to provide epidemiologic analysis. Am J Epidemiol 1998;147:709–16.</abstract><cop>Cary, NC</cop><pub>Oxford University Press</pub><pmid>9554611</pmid><doi>10.1093/oxfordjournals.aje.a009513</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0002-9262 |
ispartof | American journal of epidemiology, 1998-04, Vol.147 (7), p.709-716 |
issn | 0002-9262 1476-6256 |
language | eng |
recordid | cdi_proquest_miscellaneous_79807293 |
source | Oxford University Press:Jisc Collections:OUP Read and Publish 2024-2025 (2024 collection) (Reading list) |
subjects | Adolescent Adult Bacterial diseases Bacterial diseases of the genital system Baltimore - epidemiology Biological and medical sciences Epidemiologic Methods Female geographic information systems Geography gonorrhea Gonorrhea - epidemiology Gonorrhea - transmission Human bacterial diseases Humans Infectious diseases Male Medical sciences Neisseria gonorrhoeae - isolation & purification Space-Time Clustering |
title | Geographic Epidemiology of Gonorrhea in Baltimore, Maryland, 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=2024-12-25T16%3A49%3A07IST&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=Geographic%20Epidemiology%20of%20Gonorrhea%20in%20Baltimore,%20Maryland,%20Using%20a%20Geographic%20Information%20System&rft.jtitle=American%20journal%20of%20epidemiology&rft.au=Becker,%20Karen%20M.&rft.date=1998-04-01&rft.volume=147&rft.issue=7&rft.spage=709&rft.epage=716&rft.pages=709-716&rft.issn=0002-9262&rft.eissn=1476-6256&rft.coden=AJEPAS&rft_id=info:doi/10.1093/oxfordjournals.aje.a009513&rft_dat=%3Cproquest_cross%3E79807293%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c464t-ed1b43e2c0ce62a0929b77a40c3b8aa1dc6a483a057c2819fa8d30853a874a783%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=16422601&rft_id=info:pmid/9554611&rfr_iscdi=true |