AIDS and Behavior

, Volume 16, Issue 2, pp 304–311 | Cite as

Neglected Issues and Hypotheses Regarding the Impact of Sexual Concurrency on HIV and Sexually Transmitted Infections

  • Marie-Claude Boily
  • Michel Alary
  • Rebecca F. Baggaley
Commentary

References

  1. 1.
    HIV: consensus indicators are needed for concurrency. UNAIDS reference group on estimates modelling and projections working group on measuring concurrent sexual partnerships. Lancet. 2010;375(9715):621–2.CrossRefGoogle Scholar
  2. 2.
    Lurie MN, Rosenthal S. Concurrent partnerships as a driver of the HIV epidemic in sub-Saharan Africa? The evidence is limited. AIDS Behav. 2010;14(1):17–24.PubMedCrossRefGoogle Scholar
  3. 3.
    Mah TL, Halperin DT. Concurrent sexual partnerships and the HIV epidemics in Africa: Evidence to move forward. AIDS Behav. 2009;14(1):25–8.CrossRefGoogle Scholar
  4. 4.
    Kalishman SC, Grebler T. Reducing the number of sex partners: do we really need special intervention for sexual concurrency? AIDS Behav. 2010;14(5):987–90.CrossRefGoogle Scholar
  5. 5.
    Morris M. Barking up the wrong evidence tree. Comment on Lurie and Rosenthal, “Concurrent partnerships as a driver of the HIV epidemic in sub-Saharan Africa? The evidence is limited”. AIDS Behav. 2010;14(1):32–3.CrossRefGoogle Scholar
  6. 6.
    Aral SO. Partner concurrency and the STI/HIV epidemic. Curr Infect Dis Rep. 2010;12:134–9.PubMedCrossRefGoogle Scholar
  7. 7.
    Reniers G, Watkins S. Polygyny and the spread of HIV in Sub-Saharan Africa: a case of benign concurrency. AIDS. 2010;24:299–307.PubMedCrossRefGoogle Scholar
  8. 8.
    Lurie M, Rosenthal S, Williams B. Concurrency driving the African HIV epidemics: where is the evidence? Lancet. 2009;374:1420.PubMedCrossRefGoogle Scholar
  9. 9.
    Epstein H. The mathematics of concurrent partnerships in Africa’s HIV epidemics: a response to Lurie Rosenthal. AIDS Behav. 2010;14(1):29–30.PubMedCrossRefGoogle Scholar
  10. 10.
    Boily MC. Polygyny, concurrency, its impact and lack of impact on HIV: the road ahead. HIV Therapy. 2010;4:139–44.CrossRefGoogle Scholar
  11. 11.
    Sawers L, Stillwaggon E. Concurrent sexual partnerships do not explain the HIV epidemics in Africa: a systematic review of the evidence. Journal of the International AIDS society. 2010;13:34.PubMedCrossRefGoogle Scholar
  12. 12.
    Morris M, Kretzschmar M. Concurrent partnerships and the spread of HIV. AIDS. 1997;11:641–8.PubMedCrossRefGoogle Scholar
  13. 13.
    Ghani AC, Garnett GP. Risks of acquiring and transmitting sexually transmitted diseases in sexual partner networks. Sex Transm Dis. 2000;27(10):579–87.PubMedCrossRefGoogle Scholar
  14. 14.
    Kretzschmar M, Morris M. Measures of concurrency in networks and the spread of infectious diseases. Math Biosci. 1996;133:165–95.PubMedCrossRefGoogle Scholar
  15. 15.
    Watts CH, May RM. The influence of concurrent partnerships on the dynamics of HIV/AIDS. Math Biosci. 1992;108(1):89–104.PubMedCrossRefGoogle Scholar
  16. 16.
    Doherty IA, Shiboski S, Ellen JM, Adimora AA, Padian NS. Sexual bridging socially and over time: a simulation model exploring the relative effects of mixing and concurrency on viral sexually transmitted infection transmission. Sex Transm Dis. 2006;33(6):368–73.PubMedCrossRefGoogle Scholar
  17. 17.
    Lagarde E, Auvert B, Carael M, et al. Concurrent sexual partnerships and HIV prevalence in five urban communities of sub-Saharan Africa. AIDS. 2001;15(7):877–84.PubMedCrossRefGoogle Scholar
  18. 18.
    Mishra V, Assche SBV. Concurrent sexual partnerships and HIV infection: Evidence from national population-based surveys. DHS Working Paper 62. 2009; Accessed at http://www.measuredhs.com/pubs/pdf/WP62/WP62.pdf on January 7th, 2011.
  19. 19.
    Helleringer S, Kohlerb HP, Kalilani-Phiric L. The association of HIV serodiscordance and partnership concurrency in Likoma Island (Malawi). AIDS. 2009;23(10):1285–7.PubMedCrossRefGoogle Scholar
  20. 20.
    Koumans E, Farely T, Gibson J. Characteristics of persons with syphilis in areas of persisting syphilis in the United States: sustained transmission associated with concurrent partnerships. STD. 2001;28(9):497–503.CrossRefGoogle Scholar
  21. 21.
    Potterat J, Zimmerman-Rogers H, Muth SQ, et al. Chlamydia transmission: concurrency, reproduction number, and the epidemic trajectory. Am J Epidemiol. 1999;150:1331–9.PubMedGoogle Scholar
  22. 22.
    Javanbakht M, Gorbach PM, Amani B, et al. Concurrency, sex partner risk, and high-risk human papillomavirus infection among African American, Asian and hispanic women. Sex Transm Dis. 2010;37(2):68–74.PubMedCrossRefGoogle Scholar
  23. 23.
    Morris M, Epstein H, Wawer M. Timing is everything: International variations in historical sexual partnership concurrency and HIV prevalence. PLoS ONE 5(11):e14092.Google Scholar
  24. 24.
    Boily MC, Lowndes C, Gregson S. Population-level risk factors for HIV-transmission and the four cities study: temporal dynamics and the significance of sexual mixing patterns. AIDS. 2002;16(15):2101–2.PubMedCrossRefGoogle Scholar
  25. 25.
    Kretzschmar M, White RG, Carael M. Concurrency is more complex than it seems. AIDS. 2010;24:313–5.PubMedCrossRefGoogle Scholar
  26. 26.
    Santhakumaran S, O’Brien K, Bakker R, et al. Polygyny and symmetric concurrency: comparing long-duration sexually transmitted infection prevalence using simulated sexual networks. Sex Transm Infect. 2010;86(7):553–8.PubMedCrossRefGoogle Scholar
  27. 27.
    Poulin R, Boily MC, Mâsse BR. Dynamical systems to define centrality in social networks. Social Networks. 2000;22:187–220.CrossRefGoogle Scholar
  28. 28.
    Boily MC, Garske T, Asghar Z, Poulin R, Ghani A. Influence of selected formation rules for finite population networks with fixed macrostructures: implications for individual-based model of infectious diseases. Mathematical Population Studies. 2007;14(4):237–67.CrossRefGoogle Scholar
  29. 29.
    Eaton J, Hallett T, Garnett GP. Concurrent sexual partnerships and primary HIV Infection—a critical interaction. AIDS Behav. doi:10.1007/s10461-010-9787-8.
  30. 30.
    Goodreau SM, Cassels s, Kasprzyk D, Montano DE, Greek A, Morris M. Concurrent partnerships, Acute infection and HIV epidemic dynamics among young adults in Zimbabwe. AIDS Behav Dec 30th 2010. (in press).Google Scholar
  31. 31.
    Goodreau SM, Cassels s, Kasprzyk D, Montano DE, Greek A, Morris M. Concurrent partnerships and the proportion of transmissions by stage of infection for HIV in Zimbabwe http://paa2010.princeton.edu/download.aspx?submissionid=101936 (accessed January 7th 2011).
  32. 32.
    Eaton JW. Mathematical models of concurrent sexual partnerships and HIV in sub-Saharan Africa: Upgrade PhD report. Department of Infectious Diseases Epidemiology. Imperial College London; December 1, 2009. p. 1–82.Google Scholar
  33. 33.
    Phillips A, Gomez GB, Garnett GP, Boily MC. A systematic review and meta-analysis of interviewing tools to investigate HIV risk behaviour in developing countries. Int J Epidemiol. 2010;39(6):1541–55.PubMedCrossRefGoogle Scholar
  34. 34.
    Cohen MS, Pilcher CD. Amplified HIV transmission and new approaches to HIV prevention. JID. 2005;191:1391–3.PubMedCrossRefGoogle Scholar
  35. 35.
    Baggaley RF, White RG, Boily MC. HIV transmission risk through anal intercourse: systematic review, meta-analysis and implications for HIV prevention. Int J Epidemiol. 2010;39(4):1048–63.PubMedCrossRefGoogle Scholar
  36. 36.
    Boily MC, Baggaley RF, Wang L, et al. Heterosexual risk of HIV-1 infection per sexual act: systematic review and meta-analysis of observational studies. Lancet Infect Dis. 2009;9(2):118–29.PubMedCrossRefGoogle Scholar
  37. 37.
    Modjarrad K, Vermund SH. Effect of treating co-infections on HIV-1 viral load: a systematic review. Lancet Infect Dis. 2010;10(7):455–63.PubMedCrossRefGoogle Scholar
  38. 38.
    Garnett GP, Swinton J, Brunham RC, Anderson RM. Gonococcal infection, infertility, and population growth: II. The influence of heterogeneity in sexual behaviour. IMA J Math Appl Med Biol. 1992;9(2):127–44.PubMedCrossRefGoogle Scholar
  39. 39.
    Boily MC, Mâsse B. Mathematical models of disease transmission. A precious tool for the study of sexually transmitted diseases. Can J of Public Health. 1997;88(4):255–66.Google Scholar
  40. 40.
    Padian NS, Buvé A, Balkus J, Serwadda D, Cates W Jr. Biomedical interventions to prevent HIV infection: evidence, challenges, and way forward. Lancet. 2008;372(9638):585–99.PubMedCrossRefGoogle Scholar
  41. 41.
    Hallett TB, Gregson S, Lewis JJ, Lopman BA, Garnett GP. Behaviour change in generalised HIV epidemics: impact of reducing cross-generational sex and delaying age at sexual debut. Sex Trans Infect. 2007;83(Suppl 1):i50–4.CrossRefGoogle Scholar
  42. 42.
    Boily MC, Godin G, Hogben M, Sherr L, Bastos FI. The impact of the transmission dynamics of the HIV/AIDS epidemic on sexual behaviour: A new hypothesis to explain recent increases in risk taking-behaviour among men who have sex with men. Med Hypotheses. 2005;65(2):215–26.PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Marie-Claude Boily
    • 1
    • 2
  • Michel Alary
    • 2
  • Rebecca F. Baggaley
    • 1
  1. 1.Department of Infectious Disease Epidemiology, Faculty of MedicineImperial College LondonPaddingtonUK
  2. 2.URESP, Centre De recherche FRSQ du CHA universitaire de QuébecQuébecCanada

Personalised recommendations