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Concurrent partnerships and HIV prevalence disparities by race: Linking science and public health practice

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  • Morris, M.
  • Kurth, A.E.
  • Hamilton, D.T.
  • Moody, J.
  • Wakefield, S.

Abstract

Concurrent sexual partnerships may help to explain the disproportionately high prevalence of HIV and other sexually transmitted infections among African Americans. The persistence of such disparities would also require strong assortative mixing by race. We examined descriptive evidence from 4 nationally representative US surveys and found consistent support for both elements of this hypothesis. Using a data-driven network simulation model, we found that the levels of concurrency and assortative mixing observed produced a 2.6-fold racial disparity in the epidemic potential among young African American adults.

Suggested Citation

  • Morris, M. & Kurth, A.E. & Hamilton, D.T. & Moody, J. & Wakefield, S., 2009. "Concurrent partnerships and HIV prevalence disparities by race: Linking science and public health practice," American Journal of Public Health, American Public Health Association, vol. 99(6), pages 1023-1031.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2008.147835_1
    DOI: 10.2105/AJPH.2008.147835
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    Cited by:

    1. Jeffrey A. Smith & Jessica Burow, 2020. "Using Ego Network Data to Inform Agent-based Models of Diffusion," Sociological Methods & Research, , vol. 49(4), pages 1018-1063, November.
    2. Bryan S. Graham, 2015. "Methods of Identification in Social Networks," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 465-485, August.
    3. Crooks, Natasha & Wise, Akilah & Frazier, Tyralynn, 2020. "Addressing sexually transmitted infections in the sociocultural context of black heterosexual relationships in the United States," Social Science & Medicine, Elsevier, vol. 263(C).
    4. Knopf, Amelia & Agot, Kawango & Sidle, John & Naanyu, Violet & Morris, Martina, 2015. "Reprint of: “This is the medicine:” A Kenyan community responds to a sexual concurrency reduction intervention," Social Science & Medicine, Elsevier, vol. 125(C), pages 182-191.
    5. Knopf, Amelia & Agot, Kawango & Sidle, John & Naanyu, Violet & Morris, Martina, 2014. "“This is the medicine:” A Kenyan community responds to a sexual concurrency reduction intervention," Social Science & Medicine, Elsevier, vol. 108(C), pages 175-184.
    6. Cassels, Susan & Jenness, Samuel M. & Biney, Adriana A.E. & Dodoo, F. Nii-Amoo, 2017. "Geographic mobility and potential bridging for sexually transmitted infections in Agbogbloshie, Ghana," Social Science & Medicine, Elsevier, vol. 184(C), pages 27-39.
    7. 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.
    8. Merli, M. Giovanna & Moody, James & Smith, Jeffrey & Li, Jing & Weir, Sharon & Chen, Xiangsheng, 2015. "Challenges to recruiting population representative samples of female sex workers in China using Respondent Driven Sampling," Social Science & Medicine, Elsevier, vol. 125(C), pages 79-93.
    9. M. Merli & James Moody & Joshua Mendelsohn & Robin Gauthier, 2015. "Sexual Mixing in Shanghai: Are Heterosexual Contact Patterns Compatible With an HIV/AIDS Epidemic?," Demography, Springer;Population Association of America (PAA), vol. 52(3), pages 919-942, June.
    10. Natalie M. Leblanc & Noelle M. St. Vil & Keosha T. Bond & Jason W. Mitchell & Adrian C. Juarez & Faith Lambert & Sadandaula R. Muheriwa & James McMahon, 2022. "Dimensions of Sexual Health Conversations among U.S. Black Heterosexual Couples," IJERPH, MDPI, vol. 20(1), pages 1-22, December.

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