Literature DB >> 9554611

Geographic epidemiology of gonorrhea in Baltimore, Maryland, using a geographic information system.

K M Becker1, G E Glass, W Brathwaite, J M Zenilman.   

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 census tract. 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.

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Year:  1998        PMID: 9554611     DOI: 10.1093/oxfordjournals.aje.a009513

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  33 in total

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2.  The available pool of sex partners and risk for a current bacterial sexually transmitted infection.

Authors:  Jacky M Jennings; Ralph Taylor; Vince G Iannacchione; Susan M Rogers; Shang-En Chung; Steven Huettner; Jonathan M Ellen
Journal:  Ann Epidemiol       Date:  2010-07       Impact factor: 3.797

3.  Spatial analysis and mapping of sexually transmitted diseases to optimise intervention and prevention strategies.

Authors:  D C G Law; M L Serre; G Christakos; P A Leone; W C Miller
Journal:  Sex Transm Infect       Date:  2004-08       Impact factor: 3.519

4.  Mapping health data: improved privacy protection with donut method geomasking.

Authors:  Kristen H Hampton; Molly K Fitch; William B Allshouse; Irene A Doherty; Dionne C Gesink; Peter A Leone; Marc L Serre; William C Miller
Journal:  Am J Epidemiol       Date:  2010-09-03       Impact factor: 4.897

5.  Comparative geographic concentrations of 4 sexually transmitted infections.

Authors:  Roxanne P Kerani; Mark S Handcock; H Hunter Handsfield; King K Holmes
Journal:  Am J Public Health       Date:  2005-02       Impact factor: 9.308

6.  Sexually transmitted disease core theory: roles of person, place, and time.

Authors:  Dionne C Gesink; Ashleigh B Sullivan; William C Miller; Kyle T Bernstein
Journal:  Am J Epidemiol       Date:  2011-05-03       Impact factor: 4.897

7.  Recruitment of urban US women at risk for HIV infection and willingness to participate in future HIV vaccine trials.

Authors:  Barbara Metch; Ian Frank; Richard Novak; Edith Swann; David Metzger; Cecilia Morgan; Debbie Lucy; Debora Dunbar; Parrie Graham; Tamra Madenwald; Gina Escamilia; Beryl Koblin
Journal:  AIDS Behav       Date:  2013-02

8.  Does core area theory apply to sexually transmitted diseases in rural environments?

Authors:  Dionne C Gesink; Ashleigh B Sullivan; Todd A Norwood; Marc L Serre; William C Miller
Journal:  Sex Transm Dis       Date:  2013-01       Impact factor: 2.830

9.  A metapopulation modelling framework for gonorrhoea and other sexually transmitted infections in heterosexual populations.

Authors:  Mark I Chen; Azra C Ghani; W John Edmunds
Journal:  J R Soc Interface       Date:  2008-11-04       Impact factor: 4.118

10.  Risk factors for genital chlamydial infection.

Authors:  Christine Navarro; Anne Jolly; Rama Nair; Yue Chen
Journal:  Can J Infect Dis       Date:  2002-05
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