Literature DB >> 15229117

Defining core gonorrhea transmission utilizing spatial data.

Kyle T Bernstein1, Frank C Curriero, Jacky M Jennings, Glen Olthoff, Emily J Erbelding, Jonathan Zenilman.   

Abstract

Spatial distribution of repeat and singly occurring gonorrhea in Baltimore, Maryland, was examined to identify clusters of core transmitters. Gonorrhea reported between 2001 and 2002 was geocoded and mapped. Those with more than one gonorrhea infection separated by more than 14 days during the 2-year period were considered repeaters. Other cases were treated as isolated events. Six definitions of core transmission were examined by census tracts with the highest quintiles of 1) cases for 2001, 2) cases for 2002, 3) rates for 2001, 4) rates for 2002, 5) counts of repeaters over the 2-year period, and 6) proportion of total cases that were repeaters. Of the 6,108 gonorrhea cases analyzed, 9% were repeaters. Repeaters were more likely to be female and younger. Core areas identified by definitions based on overall disease burden agreed well with each other but had poor agreement with definitions based upon repeat infections. Repeaters clustered to a greater extent at smaller distances than did singly occurring gonorrhea cases. Repeat gonorrhea infections are prevalent in Baltimore and likely represent behavior consistent with core transmission. Census tracts of core transmission defined by geographic distribution of repeat infections may indicate foci of highest risk sexual behaviors and high transmission. Copyright 2004 Johns Hopkins Bloomberg School of Public Health

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Year:  2004        PMID: 15229117     DOI: 10.1093/aje/kwh178

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


  23 in total

1.  Using GIS for administrative decision-making in a local public health setting.

Authors:  Devon M Taylor; Valerie A Yeager; Claude Ouimet; Nir Menachemi
Journal:  Public Health Rep       Date:  2012 May-Jun       Impact factor: 2.792

2.  Geospatial methods for identification of core groups for HIV/AIDS.

Authors:  Richard A Scribner; Sandy A Johnson; Deborah A Cohen; William Robinson; Thomas A Farley; Paul Gruenewald
Journal:  Subst Use Misuse       Date:  2008       Impact factor: 2.164

3.  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

Review 4.  A review of spatial methods in epidemiology, 2000-2010.

Authors:  Amy H Auchincloss; Samson Y Gebreab; Christina Mair; Ana V Diez Roux
Journal:  Annu Rev Public Health       Date:  2012-04       Impact factor: 21.981

5.  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

Review 6.  Traditional sexually transmitted disease prevention and control strategies: tailoring for African American communities.

Authors:  Roxanne Y Barrow; Cady Berkel; Lesley C Brooks; Samuel L Groseclose; David B Johnson; Jo A Valentine
Journal:  Sex Transm Dis       Date:  2008-12       Impact factor: 2.830

7.  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

8.  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

9.  Using imputation to provide location information for nongeocoded addresses.

Authors:  Frank C Curriero; Martin Kulldorff; Francis P Boscoe; Ann C Klassen
Journal:  PLoS One       Date:  2010-02-10       Impact factor: 3.240

10.  Monitoring county-level chlamydia incidence in Texas, 2004 - 2005: application of empirical Bayesian smoothing and Exploratory Spatial Data Analysis (ESDA) methods.

Authors:  Kwame Owusu-Edusei; Chantelle J Owens
Journal:  Int J Health Geogr       Date:  2009-02-26       Impact factor: 3.918

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