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Sexual mixing patterns in the spread of gonococcal and chlamydial infections

Author

Listed:
  • Aral, S.O.
  • Hughes, J.P.
  • Stoner, B.
  • Whittington, W.
  • Handsfield, H.H.
  • Anderson, R.M.
  • Holmes, K.K.

Abstract

Objectives. This study sought to define, among sexually transmitted disease (STD) clinic attendees, (1) patterns of sex partner selection, (2) relative risks for gonococcal or chlamydial infection associated with each mixing patterns, and (3) selected links and potential and actual bridge populations. Methods. Mixing matrices were computed based on characteristics of the study participants and their partners. Risk of infection was determined in study participants with various types of partners, and odds ratios were used to estimate relative risk of infection for discordant vs concordant partnerships. Results. Partnerships discordant in terms of race/ethnicity, age, education, and number of partners were associated with significant risk for gonorrhea and chlamydial infection. In low-prevalence subpopulations, within-subpopulation mixing was associated with chlamydial infection, and direct links with high-prevalence subpopulations were associated with gonorrhea. Conclusions. Mixing patterns influence the risk of specific infections, and they should be included in risk assessments for individuals and in the design of screening, health education, and partner notification strategies for populations.

Suggested Citation

  • Aral, S.O. & Hughes, J.P. & Stoner, B. & Whittington, W. & Handsfield, H.H. & Anderson, R.M. & Holmes, K.K., 1999. "Sexual mixing patterns in the spread of gonococcal and chlamydial infections," American Journal of Public Health, American Public Health Association, vol. 89(6), pages 825-833.
    • Handle: RePEc:aph:ajpbhl:1999:89:6:825-833_7
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    Cited by:

    1. Gregory, Steve, 2012. "Ordered community structure in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(8), pages 2752-2763.
    2. Chang, Y.F. & Han, S.K. & Wang, X.D., 2018. "The way to uncover community structure with core and diversity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 111-119.
    3. André Berchtold & Pierre-André Michaud & Denise Nardelli-Haefliger & Joan-Carles Surís, 2010. "Vaccination against human papillomavirus in Switzerland: simulation of the impact on infection rates," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 55(1), pages 25-34, February.
    4. Robinson, Katy & Cohen, Ted & Colijn, Caroline, 2012. "The dynamics of sexual contact networks: Effects on disease spread and control," Theoretical Population Biology, Elsevier, vol. 81(2), pages 89-96.

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