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The estimated prevalence and incidence of HIV in 96 large US metropolitan areas

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  • Holmberg, S.D.

Abstract

Objectives. This study sought to estimate the size and direction of the human immunodeficiency virus (HIV) epidemic in US metropolitan statistical areas (MSAs) with populations greater than 500 000. Methods. A 'components model' from review of more than 350 documents, several large datasets, and information from 220 public health personnel was used. Data review focused on injection drug users, men who have sex with men, and high-risk heterosexual men and women. Results. In the 96 MSAs, there are, broadly, an estimated 1.5 million injection drug users, 1.7 million gay and bisexual men, and 2.1 million at-risk heterosexuals, and, among them, an estimated 565 000 prevalent and 38 000 incident HIV infections. This implies about 700 000 prevalent and 41 000 new HIV infections yearly in the United States. Roughly half of all estimated new infections are occurring among injection drug users, most of them in northeastern cities, Miami, and San Juan. Gay and bisexual men still represent most prevalent HIV infections, although incidence-except in young and minority gay men-is much lower now than it was a decade ago. Relatively high prevalences of HIV in at-risk heterosexual persons in several cities indicate the potential for an increase in transmission among them. Conclusions. This review and synthesis outline the comparative epidemiology of HIV in major US cities and identify populations for interventions.

Suggested Citation

  • Holmberg, S.D., 1996. "The estimated prevalence and incidence of HIV in 96 large US metropolitan areas," American Journal of Public Health, American Public Health Association, vol. 86(5), pages 642-654.
  • Handle: RePEc:aph:ajpbhl:1996:86:5:642-654_9
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    Cited by:

    1. Wilson, Amy R. & Kahn, James G. & Oren, Shmuel S., 2005. "Targeting interventions to high-risk populations: Benefits and costs," Socio-Economic Planning Sciences, Elsevier, vol. 39(4), pages 335-349, December.
    2. Amy Lansky & Teresa Finlayson & Christopher Johnson & Deborah Holtzman & Cyprian Wejnert & Andrew Mitsch & Deborah Gust & Robert Chen & Yuko Mizuno & Nicole Crepaz, 2014. "Estimating the Number of Persons Who Inject Drugs in the United States by Meta-Analysis to Calculate National Rates of HIV and Hepatitis C Virus Infections," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-9, May.
    3. Steven D. Pinkerton & Eric G. Benotsch & John Mikytuck, 2007. "When Do Simpler Sexual Behavior Data Collection Techniques Suffice?," Evaluation Review, , vol. 31(4), pages 401-412, August.
    4. Iguchi, Martin Y. & Bux, Donald A. & Kushner, Harvey & Lidz, Victor, 2001. "Correlates of HIV risk among female sex partners of injecting drug users in a high-seroprevalence area," Evaluation and Program Planning, Elsevier, vol. 24(2), pages 175-185, May.
    5. Schilling, Robert F. & Fernando, Daniel & Fontdevila, Jorge & El-Bassel, Nabila, 2000. "HIV risk reduction among injection drug users: explaining the lack of anticipated outcomes in a community-level controlled comparison study," Evaluation and Program Planning, Elsevier, vol. 23(3), pages 301-313, August.
    6. Wilson, Amy R. & Kahn, James G., 2003. "Preventing HIV in injection drug users: exploring the tradeoffs between interventions," Socio-Economic Planning Sciences, Elsevier, vol. 37(4), pages 269-288, December.
    7. Barton H. Hamilton & Andrés Hincapié & Robert A. Miller & Nicholas W. Papageorge, 2021. "Innovation And Diffusion Of Medical Treatment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(3), pages 953-1009, August.
    8. Georgiy Bobashev & Sarah Mars & Nicholas Murphy & Clinton Dreisbach & William Zule & Daniel Ciccarone, 2019. "Heroin type, injecting behavior, and HIV transmission. A simulation model of HIV incidence and prevalence," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-17, December.
    9. Steven D. Pinkerton & David R. Holtgrave & Laura C. Leviton & David A. Wagstaff & Paul R. Abramson, 1998. "Model-Based Evaluation of Hiv Prevention Interventions," Evaluation Review, , vol. 22(2), pages 155-174, April.
    10. Lessner, Lawrence, 2008. "HIV prevalence for New York State using Newborn Seroprevalence and AIDS Surveillance Data," Socio-Economic Planning Sciences, Elsevier, vol. 42(4), pages 286-299, December.
    11. Jonathan P. Caulkins & Edward H. Kaplan & Peter Lurie & Thomas O'Connor & Sung-Ho Ahn, 1998. "Can Difficult-to-Reuse Syringes Reduce the Spread of HIV Among Injection Drug Users?," Interfaces, INFORMS, vol. 28(3), pages 23-33, June.
    12. Ana P. Johnson-Masotti & Purushottam W. Laud & Raymond G. Hoffmann & Matthew J. Hayat & Steven D. Pinkerton, 2001. "Probabilistic Cost-Effectiveness Analysis of HIV Prevention," Evaluation Review, , vol. 25(4), pages 474-502, August.
    13. Ana P. Johnson-Masotti & Purushottam W. Laud & Raymond G. Hoffmann & Matthew J. Hayat & Steven D. Pinkerton, 2004. "A Bayesian Approach to Net Health Benefits: An Illustration and Application to Modeling HIV Prevention," Medical Decision Making, , vol. 24(6), pages 634-653, November.
    14. Schilling, Robert F. & Fontdevila, Jorge & Fernando, Daniel & El-Bassel, Nabila & Monterroso, Edgar, 2004. "Proximity to needle exchange programs and HIV-related risk behavior among injection drug users in Harlem," Evaluation and Program Planning, Elsevier, vol. 27(1), pages 25-33, February.
    15. A. David Paltiel & Harold A. Pollack, 2010. "Price, Performance, and the FDA Approval Process: The Example of Home HIV Testing," Medical Decision Making, , vol. 30(2), pages 217-223, March.

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