Advertisement

AIDS and Behavior

, Volume 23, Issue 1, pp 15–20 | Cite as

A Network Intervention to Locate Newly HIV Infected Persons Within MSM Networks in Chicago

  • Ethan MorganEmail author
  • Britt Skaathun
  • Georgios K. Nikolopoulos
  • Dimitrios Paraskevis
  • Leslie D. Williams
  • Pavlo Smyrnov
  • Samuel R. Friedman
  • John A. Schneider
Original Paper

Abstract

Individuals with recent/acute HIV-infection have an increased likelihood of disease transmission. To evaluate effectiveness of identifying recent infections, we compared networks of recently and long-term HIV-infected individuals. The Transmission Reduction Intervention Project included two separate arms of recruitment, networks of recently HIV-infected individuals and networks of long-term HIV-infected individuals. Networks of each were recruited and tested for HIV and syphilis infection. The per-seed yield ratios of recruitment were compared between arms. Overall, 84 (41.6%) of 202 participants were identified as HIV-positive. HIV prevalence was higher (p < 0.001) among networks of recent seeds (33/96, 34.4%) compared to long-term seeds (6/31, 19.4%). More individuals were identified with active syphilis infection (p = 0.007) among networks of recent seeds (15/96, 15.6%), compared to networks of long-term seeds (3/31, 9.7%). Network-based recruitment of recently HIV-infected individuals was more effective at identifying HIV and syphilis infection. Allocation of public health resources may be improved by targeting interventions toward networks of recently HIV-infected individuals.

Keywords

HIV Network Syphilis Intervention 

Notes

Acknowledgements

This intervention was supported by the United States (US) National Institute on Drug Abuse (NIDA) (DP1DA034989). This work was also supported by grants R01DA033875, R21 AI118998 and the FOCUS 801266112, Gilead Sciences. The funding source had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Funding

This intervention was supported by the United States (US) National Institute on Drug Abuse (NIDA) (DP1DA034989). This work was also supported by grants R01DA033875, R21 AI118998 and the FOCUS 801266112, Gilead Sciences.

Compliance with Ethical Standards

Conflict of interest

The authors declare that they have no conflicts of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

Supplementary material

10461_2018_2202_MOESM1_ESM.docx (19 kb)
Supplementary material 1 (DOCX 19 kb)

References

  1. 1.
    Gardner EM, Mclees MP, Steiner JF, Del Rio C, Burman WJ. The Spectrum of Engagement in HIV Care and its Relevance to Test-and-Treat Strategies for Prevention of HIV Infection. Clin Infect Dis. 2011;52(6):793–800.  https://doi.org/10.1093/cid/ciq243.CrossRefGoogle Scholar
  2. 2.
    Hollingsworth TD, Anderson RM, Fraser C. HIV-1 Transmission, by Stage of Infection. J Infect Dis. 2008;198(5):687–93.  https://doi.org/10.1086/590501.CrossRefGoogle Scholar
  3. 3.
    Pinkerton SD. How many sexually-acquired HIV infections in the USA are due to acute-phase HIV transmission? AIDS. 2007;21(12):1625–9.  https://doi.org/10.1097/QAD.0b013e32826fb6a6.CrossRefGoogle Scholar
  4. 4.
    Althoff KN, Gange SJ, Klein MB, et al. Late Presentation for Human Immunodeficiency Virus Care in the United States and Canada. Clin Infect Dis. 2010;50(11):1512–20.  https://doi.org/10.1086/652650.CrossRefGoogle Scholar
  5. 5.
    Plitt SS, Mihalicz D, Singh AE, Jayaraman G, Houston S, Lee BE. Time to testing and accessing care among a population of newly diagnosed patients with HIV with a high proportion of Canadian Aboriginals, 1998-2003. AIDS Patient Care STDS. 2009;23(2):93–9.  https://doi.org/10.1089/apc.2007.0238.CrossRefGoogle Scholar
  6. 6.
    Hoenigl M, Green N, Mehta SR, Little SJ. Risk Factors for Acute and Early HIV Infection Among Men Who Have Sex With Men (MSM) in San Diego, 2008 to 2014: a Cohort Study. Medicine (Baltimore). 2015;94(30):e1242.  https://doi.org/10.1097/MD.0000000000001242.CrossRefGoogle Scholar
  7. 7.
    Marks G, Crepaz N, Senterfitt JW, Janssen RS. Meta-analysis of high-risk sexual behavior in persons aware and unaware they are infected with hiv in the United States: implications for HIV prevention programs. JAIDS. 2005;39(4):449–53.Google Scholar
  8. 8.
    Cohen MS, Chen YQ, Mccauley M, et al. Prevention of HIV-1 Infection with early antiretroviral therapy. N Engl J Med. 2011;365(6):493–505.  https://doi.org/10.1056/NEJMoa1105243.CrossRefGoogle Scholar
  9. 9.
    van Griensven F, Phanuphak N, Kroon E, et al. Acute HIV infection detection and control reduces HIV infectiousness and transmission risk behavior among men who have sex with men in Bangkok, Thailand. In: 7th International AIDS Society Conference on HIV Pathogenesis. Kuala Lumpur; 2013.Google Scholar
  10. 10.
    Schneider JA, Cornwell B, Ostrow D, et al. Network mixing and network influences most linked to HIV infection and risk behavior in the HIV epidemic among black men who have sex with men. Am J Public Heal. 2013;103(1):e28–36.  https://doi.org/10.2105/AJPH.2012.301003.CrossRefGoogle Scholar
  11. 11.
    Friedman SR, Neaigus A, Jose B, et al. Sociometric risk networks and risk for HIV infection. Am J Public Health. 1997;87(8):1289–96.CrossRefGoogle Scholar
  12. 12.
    Audelin AM, Cowan SA, Obel N, Nielsen C, Jørgensen LB, Gerstoft J. Phylogenetics of the Danish HIV Epidemic. JAIDS J Acquir Immune Defic Syndr. 2013;62(1):102–8.  https://doi.org/10.1097/QAI.0b013e318276becc.CrossRefGoogle Scholar
  13. 13.
    Amirkhanian YA. Social networks, sexual networks and HIV risk in men who have sex with men. Curr HIV/AIDS Rep. 2014;11(1):81–92.  https://doi.org/10.1007/s11904-013-0194-4.CrossRefGoogle Scholar
  14. 14.
    Friedman SR, Downing MJ, Smyrnov P, et al. Socially-integrated transdisciplinary HIV prevention. AIDS Behav. 2014;18(10):1821–34.  https://doi.org/10.1007/s10461-013-0643-5.CrossRefGoogle Scholar
  15. 15.
    Vasylyeva TI, Friedman SR, Smyrnov P, Bondarenko K. A new approach to prevent HIV transmission: project Protect intervention for recently infected individuals. AIDS Care. 2015;27(2):223–8.  https://doi.org/10.1080/09540121.2014.947913.CrossRefGoogle Scholar
  16. 16.
    Nikolopoulos G, Pavlitina E, Muth SQ, et al. A network intervention that locates and intervenes with recently HIV-infected persons: the Transmission Reduction Intervention Project (TRIP). Sci Rep. 2016;6:38100.  https://doi.org/10.1038/srep38100.CrossRefGoogle Scholar
  17. 17.
    Duong YT, Kassanjee R, Welte A, et al. Recalibration of the limiting antigen avidity eia to determine mean duration of recent infection in divergent HIV-1 subtypes. PLoS ONE. 2015;10(2):e0114947.  https://doi.org/10.1371/journal.pone.0114947.CrossRefGoogle Scholar
  18. 18.
    Choi K-H, Ning Z, Gregorich SE, Pan Q. The Influence of social and sexual networks in the spread of HIV and syphilis among men who have sex with men in Shanghai, China. JAIDS J Acquir Immune Defic Syndr. 2007;45(1):77–84.  https://doi.org/10.1097/QAI.0b013e3180415dd7.CrossRefGoogle Scholar
  19. 19.
    Brenner BG, Roger M, Moisi DD, et al. Transmission networks of drug resistance acquired in primary/early stage HIV infection. AIDS. 2008;22(18):2509–15.  https://doi.org/10.1097/QAD.0b013e3283121c90.CrossRefGoogle Scholar
  20. 20.
    Brenner BG, Roger M, Routy J, et al. High Rates of forward transmission events after acute/early HIV-1 infection. J Infect Dis. 2007;195(7):951–9.  https://doi.org/10.1086/512088.CrossRefGoogle Scholar
  21. 21.
    Khan B, Dombrowski K, Saad M, McLean K, Friedman S. Network firewall dynamics and the subsaturation stabilization of HIV. Discret Dyn Nat Soc. 2013;2013:1–16.  https://doi.org/10.1155/2013/720818.CrossRefGoogle Scholar
  22. 22.
    Chicago Department of Public Health. HIV/STI Surveillance Report, 2015. Chicago, IL: City of Chicago; 2015. http://www.cityofchicago.org/content/dam/city/depts/cdph/HIV_STI/HIV_STI_Surveillance_Report_2015.pdf.
  23. 23.
    Su J, Beltrami J, Zaidi A, Weinstock H. Primary and secondary syphilis among black and Hispanic men who have sex with men: case report data from 27 States. Ann Intern Med. 2011;155(3):145–51.CrossRefGoogle Scholar
  24. 24.
    Heffelfinger JD, Swint E, Berman S, Weinstock H. Trends in primary and secondary syphilis among men who have sex with men in the United States. Am J Public Health. 2007;97(6):1076–83.CrossRefGoogle Scholar
  25. 25.
    Rosenberg D, Moseley K, Kahn R, et al. Networks of persons with syphilis and at risk for Syphilis in Louisiana: evidence of core transmitters. Sex Transm Dis. 1999;26(2):108–14.CrossRefGoogle Scholar
  26. 26.
    Stephens S, Fann C, Strona F, et al. Identifying Syphilis risk networks through venue attendance in San Francisco. Sex Transm Dis. 2014;41(5):333–7.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Ethan Morgan
    • 1
    Email author
  • Britt Skaathun
    • 1
  • Georgios K. Nikolopoulos
    • 2
  • Dimitrios Paraskevis
    • 3
  • Leslie D. Williams
    • 4
  • Pavlo Smyrnov
    • 5
  • Samuel R. Friedman
    • 4
  • John A. Schneider
    • 1
  1. 1.Department of Public Health SciencesUniversity of ChicagoChicagoUSA
  2. 2.Medical SchoolUniversity of CyprusNicosiaCyprus
  3. 3.Department of Hygiene and EpidemiologyUniversity of AthensAthensGreece
  4. 4.National Development and Research InstitutesNew YorkUSA
  5. 5.Alliance for Public HealthKievUkraine

Personalised recommendations