Literature DB >> 21217418

Comparison of sexual mixing patterns for syphilis in endemic and outbreak settings.

Irene A Doherty1, Adaora A Adimora, Stephen Q Muth, Marc L Serre, Peter A Leone, William C Miller.   

Abstract

BACKGROUND: In a largely rural region of North Carolina during 1998-2002, outbreaks of heterosexually transmitted syphilis occurred, tied to crack cocaine use and exchange of sex for drugs and money. Sexual partnership mixing patterns are an important characteristic of sexual networks that relate to transmission dynamics of sexually transmitted infections (STIs).
METHODS: Using contact tracing data collected by disease intervention specialists, we estimated Newman assortativity coefficients and compared values in counties experiencing syphilis outbreaks to nonoutbreak counties, with respect to race/ethnicity, race/ethnicity and age, and the cases' number of social/sexual contacts, infected contacts, sex partners, and infected sex partners, and syphilis disease stage (primary, secondary, early latent).
RESULTS: Individuals in the outbreak counties had more contacts and mixing by the number of sex partners was disassortative in outbreak counties and assortative nonoutbreak counties. Although mixing by syphilis disease stage was minimally assortative in outbreak counties, it was disassortative in nonoutbreak areas. Partnerships were relatively discordant by age, especially among older white men, who often chose considerably younger female partners.
CONCLUSIONS: Whether assortative mixing exacerbates or attenuates the reach of STIs into different populations depends on the characteristic/attribute and epidemiologic phase. Examination of sexual partnership characteristics and mixing patterns offers insights into the growth of STI outbreaks that complement other research methods.

Entities:  

Mesh:

Year:  2011        PMID: 21217418      PMCID: PMC4526152          DOI: 10.1097/OLQ.0b013e318203e2ef

Source DB:  PubMed          Journal:  Sex Transm Dis        ISSN: 0148-5717            Impact factor:   2.830


  42 in total

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Authors:  S O Aral
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2.  Risk network structure in the early epidemic phase of HIV transmission in Colorado Springs.

Authors:  J J Potterat; L Phillips-Plummer; S Q Muth; R B Rothenberg; D E Woodhouse; T S Maldonado-Long; H P Zimmerman; J B Muth
Journal:  Sex Transm Infect       Date:  2002-04       Impact factor: 3.519

3.  Factors and the sociosexual network associated with a syphilis outbreak in rural North Carolina.

Authors:  Arlene C Seña; Stephen Q Muth; James D Heffelfinger; Judy Owen O'Dowd; Evelyn Foust; Peter Leone
Journal:  Sex Transm Dis       Date:  2007-05       Impact factor: 2.830

4.  Sexual mixing patterns in the spread of gonococcal and chlamydial infections.

Authors:  S O Aral; J P Hughes; B Stoner; W Whittington; H H Handsfield; R M Anderson; K K Holmes
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5.  Syphilis in the South: rural rates surpass urban rates in North Carolina.

Authors:  J C Thomas; A L Kulik; V J Schoenbach
Journal:  Am J Public Health       Date:  1995-08       Impact factor: 9.308

6.  Racial/ethnic group differences in the prevalence of sexually transmitted diseases in the United States: a network explanation.

Authors:  E O Laumann; Y Youm
Journal:  Sex Transm Dis       Date:  1999-05       Impact factor: 2.830

7.  The re-emergence of syphilis in the United Kingdom: the new epidemic phases.

Authors:  Ian Simms; Kevin A Fenton; Matthew Ashton; Katherine M E Turner; Emma E Crawley-Boevey; Russell Gorton; Daniel Rh Thomas; Audrey Lynch; Andrew Winter; Martin J Fisher; Lorraine Lighton; Helen C Maguire; Maria Solomou
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8.  Heterogeneity of risk among African-American men who have sex with men.

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Journal:  Int J STD AIDS       Date:  2007-01       Impact factor: 1.359

9.  The influence of social and sexual networks in the spread of HIV and syphilis among men who have sex with men in Shanghai, China.

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Journal:  J Acquir Immune Defic Syndr       Date:  2007-05-01       Impact factor: 3.731

10.  Who has sex with whom? Characteristics of heterosexual partnerships reported in a national probability survey and implications for STI risk.

Authors:  Catherine H Mercer; Andrew J Copas; Pam Sonnenberg; Anne M Johnson; Sally McManus; Bob Erens; Jackie A Cassell
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  10 in total

1.  Syphilis and HIV: Is HAART at the heart of this epidemic?

Authors:  Susan Tuddenham; Maunank Shah; Khalil G Ghanem
Journal:  Sex Transm Infect       Date:  2017-01-16       Impact factor: 3.519

2.  Structural bridging network position is associated with HIV status in a younger Black men who have sex with men epidemic.

Authors:  Nirav S Shah; James Iveniuk; Stephen Q Muth; Stuart Michaels; Jo-Anne Jose; Edward O Laumann; John A Schneider
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3.  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

4.  Sexual networks, surveillance, and geographical space during syphilis outbreaks in rural North Carolina.

Authors:  Irene A Doherty; Marc L Serre; Dionne Gesink; Adaora A Adimora; Stephen Q Muth; Peter A Leone; William C Miller
Journal:  Epidemiology       Date:  2012-11       Impact factor: 4.822

5.  Factors Associated With Human Immunodeficiency Virus Infections Linked in Genetic Clusters But Disconnected in Partner Tracing.

Authors:  Dana K Pasquale; Irene A Doherty; William C Miller; Peter A Leone; Lynne A Sampson; Sue Lynn Ledford; Joseph Sebastian; Ann M Dennis
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6.  Assortativity coefficient-based estimation of population patterns of sexual mixing when cluster size is informative.

Authors:  Siobhan K Young; Robert H Lyles; Lawrence L Kupper; Jessica R Keys; Sandra L Martin; Elizabeth C Costenbader
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7.  Being fast or cautious? Sociocultural conditions influencing the sexual pathways of Black females in the United States.

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8.  Human papillomavirus vaccine coverage in male-male partnerships attending a sexual health clinic in Melbourne, Australia.

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9.  Determinants of sexual network structure and their impact on cumulative network measures.

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10.  Lost and found: applying network analysis to public health contact tracing for HIV.

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