Epidemiological bridging by injection drug use drives an early HIV epidemic

Epidemics

Volumn 2, Issue 3, 2010, Pages 155-164

  Volz, Erik ^a   Frost, Simon D W ^b   Rothenberg, Richard ^c   Meyers, Lauren Ancel ^d,e  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c GEORGIA STATE UNIVERSITY   (United States)

^d UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^e SANTA FE INSTITUTE   (United States)

Author keywords

Concurrency; HIV; Networks; Serosorting

Indexed keywords

ADULT; ARTICLE; COMMUNITY SAMPLE; EPIDEMIC; FEMALE; HETEROSEXUALITY; HIGH RISK BEHAVIOR; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INCIDENCE; INFECTION RISK; INTRAVENOUS DRUG ABUSE; MAJOR CLINICAL STUDY; MALE; MALE HOMOSEXUAL; PRIORITY JOURNAL; SEXUAL BEHAVIOR; SOCIAL NETWORK; UNITED STATES; VIRUS TRANSMISSION;

EPIDEMICS; FEMALE; GEORGIA; HIV INFECTIONS; HUMANS; MALE; MODELS, BIOLOGICAL; PREVALENCE; RISK FACTORS; RISK-TAKING; SEXUAL BEHAVIOR; SEXUAL PARTNERS; SUBSTANCE ABUSE, INTRAVENOUS;

EID: 77956061876     PISSN: 17554365     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epidem.2010.06.003     Document Type: Article

References (40)

1. Abramovitz D., Volz E.M., Strathdee S.A., Patterson T.L., Vera A., Frost S.D.W. Using respondent-driven sampling in a hidden population at risk of HIV infection: who do HIV-positive recruiters recruit?. Sexually Transmitted Diseases 2009.
2. Anderson R.M., May R.M. Infectious Diseases of Humans: Dynamics and Control 1991, Oxford University Press.
3. Baeten J.M., Overbaugh J. Measuring the infectiousness of persons with HIV-1: opportunities for preventing sexual HIV-1 transmission. Curr. HIV Res. 2003, 1(1):69-89.
4. Blower S.M., Boe C. Sex acts, sex partners, and sex budgets: implications for risk factor analysis and estimation of HIV transmission probabilities. J. Acquir. Immune Defic. Syndr. 1993, 6. 1347-1347.
5. Butler D.M., Smith D.M. Serosorting can potentially increase HIV transmissions. AIDS 2007, 21(9):1218.
6. Callaway D.S., Hopcroft J.E., Kleinberg J.M., Newman M.E.J., Strogatz S.H. Are randomly grown graphs really random?. Phys. Rev. E 2001, 64(4):41902.
7. Cassels S., Menza T.W., Goodreau S.M., Golden M.R. HIV serosorting as a harm reduction strategy: evidence from Seattle. Washington. AIDS 2009, 23. 000-000.
8. Catanzaro M., Boguñá M., Pastor-Satorras R. Generation of uncorrelated random scale-free networks. Phys. Rev. E 2005, 71(2):27103.
9. Christakis N.A., Fowler J.H. The spread of obesity in a large social network over 32years. N Engl J. Med. 2007, 357(4):370.
10. Freeman L.C. A set of measures of centrality based on betweenness. Sociometry 1977, 40(1):35-41.
11. Granich R.M., Gilks C.F., Dye C., De Cock K.M., Williams B.G. Universal voluntary HIV testing with immediate antiretroviral therapy as a strategy for elimination of HIV transmission: a mathematical model. Lancet 2009, 373(9657):48-57.
12. Grassly N.C., Lowndes C.M., Rhodes T., Judd A., Renton A., Garnett G.P. Modelling emerging HIV epidemics: the role of injecting drug use and sexual transmission in the Russian Federation. China and India. Int. J. Drug Policy 2003, 14(1):25-43.
13. Hansen M.H., Hurwitz W.N. On the theory of sampling from finite populations. Ann. Math. Stat. 1943, 333-362.
14. Howard D.L., Latkin C.A. A bridge over troubled waters: factors associated with non-injection drug users having injection drug-using sex partners. J. Acquir. Immune Defic. Syndr. 2006, 42(3):325.
15. Kaplan E.H., O'Keefe E. Let the needles do the talking! Evaluating the New Haven needle exchange. Interfaces 1993, 7-26.
16. Keeling M.J., Rohani P. Modeling Infectious Diseases in Humans and Animals 2008, Princeton University Press.
17. Kral A.H., Bluthenthal R.N., Lorvick J., Gee L., Bacchetti P., Edlin B.R. Sexual transmission of HIV-1 among injection drug users in San Francisco, USA: risk-factor analysis. The Lancet 2001, 357(9266):1397-1401.
18. Kretzschmar M., Wiessing L. New challenges for mathematical and statistical modeling of HIV and hepatitis C virus in injecting drug users. AIDS 2008, 22(13):1527-1537.
19. Lalani T., Hicks C. Does antiretroviral therapy prevent HIV transmission to sexual partners?. Curr. Infectious Dis. R 2008, 10(2):140-145.
20. Lansky A., Drake A., Pham H.T. HIV-associated behaviors among injecting-drug users-23 Cities, United States, May 2005-February 2006. Morb. Mortal. Wkly Rep. 2009, 58(13):329-332.
21. Leynaert B., Downs A.M., de Vincenzi I., et al. Heterosexual transmission of human immunodeficiency virus: variability of infectivity throughout the course of infection. Am. J. Epidemiol. 1998, 148(1):88.
22. Lima V.D., Johnston K., Hogg R.S., Levy A.R., Harrigan P.R., Anema A., Montaner J.S.G. Expanded access to highly active antiretroviral therapy: a potentially powerful strategy to curb the growth of the HIV epidemic. J. Infect. Dis. 2008, 198(1):59-67.
23. Lindenburg C.E.A., Krol A., Smit C., Buster M.C.A., Coutinho R.A., Prins M. Decline in HIV incidence and injecting, but not in sexual risk behaviour, seen in drug users in Amsterdam: a 19-year prospective cohort study. AIDS 2006, 20(13):1771.
24. Meyers L.A., Newman M.E.J., Martin M., Schrag S. Applying network theory to epidemics: control measures for Mycoplasma pneumoniae outbreaks. Emerg. Infect. Dis. 2003, 9(2):204-210.
25. Meyers L.A., Newman M.E.J., Pourbohloul B. Predicting epidemics on directed contact networks. J. Theor. Biol. 2006, 240(3):400-418.
26. Molloy M., Reed B. The size of the giant component of a random graph with a given degree sequence. Comb. Probab. Comput. 1998, 7(03):295-305.
27. Morgan D., Mahe C., Mayanja B., Okongo J.M., Lubega R., Whitworth J.A.G. HIV-1 infection in rural Africa: is there a difference in median time to AIDS and survival compared with that in industrialized countries?. AIDS 2002, 16(4):597.
28. Mossong J., Hens N., Jit M., Beutels P., Auranen K., Mikolajczyk R., Massari M., Salmaso S., Tomba G.S., Wallinga J., et al. Social contacts and mixing patterns relevant to the spread of infectious diseases. PLoS Med. 2008, 5(3):e74.
29. Newman M.E.J., Strogatz S.H., Watts D.J. Random graphs with arbitrary degree distributions and their applications. Phys. Rev. E 2001, 64(2):26118.
30. Pisani E., et al. Sexual behavior among injection drug users in 3 Indonesian cities carries a high potential for HIV spread to noninjectors. J. Acquir. Immune Defic. Syndr. 2003, 34(4):403.
31. Rothenberg R.B., Long D.M., Sterk C.E., Pach A., Potterat J.J., Muth S., Baldwin J.A., Robert T.T. The Atlanta Urban Networks Study: a blueprint for endemic transmission. AIDS 2000, 14(14):2191.
32. Saidel T.J., Des Jarlais D., Peerapatanapokin W., Dorabjee J., Singh S., Brown T. Potential impact of HIV among IDUs on heterosexual transmission in Asian settings: scenarios from the Asian Epidemic Model. Int. J. Drug Policy 2003, 14(1):63-74.
33. Salganik M., Heckathorn D.D. Sampling and estimation in hidden populations using respondent-driven sampling. Sociological Method. 2004, 34:193-240.
34. Vanhems P., Hirschel B., Phillips A.N., Cooper D.A., Vizzard J., Brassard J., Perrin L. Incubation time of acute human immunodeficiency virus (HIV) infection and duration of acute HIV infection are independent prognostic factors of progression to AIDS. J. Infect. Dis. 2000, 182(1):334-337.
35. Volz E., Heckathorn D.D. Probability based estimation theory for respondent driven sampling. J. Off. Stat. Stockholm 2008, 24(1):79.
36. Volz E., Meyers L.A. Susceptible-infected-recovered epidemics in dynamic contact networks. Proc. R. Soc. B 2007, 274(1628):2925.
37. Volz E., Meyers L.A. Epidemic thresholds in dynamic contact networks. J. R. Soc. Interface 2009, 6(32):233.
38. White R.G., Ben S.C., Kedhar A., Orroth K.K., Biraro S., Baggaley R.F., Whitworth J., Korenromp E.L., Ghani A., Boily M.C., et al. Quantifying HIV-1 transmission due to contaminated injections. Proc. Natl Acad. Sci. 2007, 104(23):9794.
39. Wiessing L., Kretzschmar M. Can HIV epidemics among IDUs 'trigger' a generalised epidemic?. Int. J. Drug Policy 2003, 14(1):99-102.
40. Wilf H.S. generatingfunctionology 2006, AK Peters, Ltd.