Literature DB >> 10604776

Chlamydia transmission: concurrency, reproduction number, and the epidemic trajectory.

J J Potterat1, H Zimmerman-Rogers, S Q Muth, R B Rothenberg, D L Green, J E Taylor, M S Bonney, H A White.   

Abstract

To identify factors that influence individual and group transmission of Chlamydia, the authors conducted community-wide contact tracing of chlamydia cases in Colorado Springs, Colorado, from mid-1996 to mid-1997. Case patients identified persons with whom they had had contact during the 6 months preceding diagnosis; contacts were actively sought and offered DNA amplification testing. Sexual contact networks were used to identify "source cases" and "spread cases," permitting estimation of the basic reproduction number (R0) for individuals and groups. Network and epidemiologic factors influencing R0 were assessed using univariate and multivariate procedures. Of 1,309 case patients, 1,131 (86%) were interviewed, and 2,409 contacts were identified. The 1,131 interviewed cases yielded 623.9 computed spread cases, for an overall R0 of 0.55. Few subgroups analyzed yielded a mean R0 exceeding unity-an observation in keeping with routine surveillance information which suggests that chlamydia incidence is declining in Colorado Springs. Concurrency, a network measure of simultaneous partnerships, was the most powerful predictor of transmission. Direct estimation of basic reproduction numbers for chlamydia using contact tracing techniques is feasible and can produce useful data with which to prioritize control efforts, evaluate interventions, and gauge the place of chlamydia on the epidemic continuum.

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Year:  1999        PMID: 10604776     DOI: 10.1093/oxfordjournals.aje.a009965

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


  64 in total

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4.  Concurrent partnerships, nonmonogamous partners, and substance use among women in the United States.

Authors:  Adaora A Adimora; Victor J Schoenbach; Eboni M Taylor; Maria R Khan; Robert J Schwartz
Journal:  Am J Public Health       Date:  2010-08-19       Impact factor: 9.308

5.  Reciprocal sex partner concurrency and STDs among heterosexuals at high-risk of HIV infection.

Authors:  Alan Neaigus; Samuel M Jenness; Holly Hagan; Christopher S Murrill; Travis Wendel
Journal:  J Urban Health       Date:  2013-10       Impact factor: 3.671

6.  The Likoma Network Study: Context, data collection, and initial results.

Authors:  Stéphane Helleringer; Hans-Peter Kohler; Agnes Chimbiri; Praise Chatonda; James Mkandawire
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7.  Polynomial epidemics and clustering in contact networks.

Authors:  Balázs Szendroi; Gábor Csányi
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8.  Prevalence of HIV infection among young adults in the United States: results from the Add Health study.

Authors:  Martina Morris; Mark S Handcock; William C Miller; Carol A Ford; John L Schmitz; Marcia M Hobbs; Myron S Cohen; Kathleen M Harris; J Richard Udry
Journal:  Am J Public Health       Date:  2006-05-02       Impact factor: 9.308

9.  A new approach to measuring partnership concurrency and its association with HIV risk in couples.

Authors:  Stéphane Helleringer; James Mkandawire; Hans-Peter Kohler
Journal:  AIDS Behav       Date:  2014-12

10.  Measuring prevalence and correlates of concurrent sexual partnerships among young sexually active men in Kisumu, Kenya.

Authors:  Nelli Westercamp; Christine L Mattson; Robert C Bailey
Journal:  AIDS Behav       Date:  2013-11
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