Network-related mechanisms may help explain long-term HIV-1 seroprevalence levels that remain high but do not approach population-group saturation

American Journal of Epidemiology

Volumn 152, Issue 10, 2000, Pages 913-922

  Friedman, Samuel R ^a   Kottiri, Benny J ^a   Neaigus, Alan ^a   Curtis, Richard ^a,b   Vermund, Sten H ^c   Des Jarlais, Don C ^a,d  

^a NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES   (United States)

^b JOHN JAY COLLEGE OF CRIMINAL JUSTICE   (United States)

^c UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^d BETH ISRAEL MEDICAL CENTER   (United States)

Author keywords

Disease outbreaks; Group processes; Group structure; HIV seroprevalence; HIV 1; Narcotics; Social environment; Social support

Indexed keywords

NARCOTIC AGENT;

DISEASE PREVALENCE; HUMAN IMMUNODEFICIENCY VIRUS; MEDICAL GEOGRAPHY; URBAN SOCIETY;

ARTICLE; EPIDEMIC; GROUP PSYCHOLOGY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INTRAVENOUS DRUG ABUSE; MAJOR CLINICAL STUDY; MATHEMATICAL MODEL; SEROPREVALENCE; SOCIAL ENVIRONMENT; SOCIAL SUPPORT; UNITED STATES;

CROSS-SECTIONAL STUDIES; DISEASE OUTBREAKS; GROUP PROCESSES; HIV INFECTIONS; HIV SERONEGATIVITY; HIV SEROPREVALENCE; HIV-1; HUMANS; INTERPERSONAL RELATIONS; NEW YORK CITY; RISK ASSESSMENT; RISK-TAKING; SOCIOMETRIC TECHNIQUES; SUBSTANCE ABUSE, INTRAVENOUS; TIME FACTORS; URBAN POPULATION;

EID: 0034669704     PISSN: 00029262     EISSN: None     Source Type: Journal    
DOI: 10.1093/aje/152.10.913     Document Type: Article

References (64)

1. The structure of stable seroprevalence HIV-1 epidemics among injecting drug users
2. HIV among drug injectors: The epidemic and the response
3. The HIV epidemic associated with injecting drug use in Europe: Geographic and time trends
4. The estimated prevalence and incidence of HIV in 96 large US metropolitan areas
5. Continuity and change within an HIV epidemic: Injecting drug users in New York City, 1984 through 1992
6. Behaviour change and stabilization of seroprevafence levels in communities of injecting drug users: Correlation or causation?
7. Drugs, sex and HIV: A mathematical model for New York City
8. Cluster of cases of the acquired immune deficiency syndrome: Patients linked by sexual contact
9. The relevance of drag injectors' social networks and risk networks for understanding and preventing HIV infection
10. 'Socio-geographic space' and sexually transmissible diseases in the 1990s
11. AIDS in Colorado Springs: Is there an epidemic?
12. The Colorado Springs study of social networks: Observations on centrality
13. Social networks in disease transmission the Colorado Springs study
14. Network structure and proxy network measures of HIV, drug and incarceration risks for active drug users
15. Network models for HIV outreach and prevention programs for drug users
16. Social networks and the spread of infectious diseases: The AIDS example
17. Social networks and infectious disease: The Colorado Springs study
18. Social network structures: An ethnographic analysis of intravenous drug use in Houston, Texas
19. Sociometric risk networks and HIV risk
20. Calculating the odds of HIV infection due to sexual partner selection
21. Primary HIV infection - A public health opportunity
22. Role of the primary infection in epidemic HIV infection of gay cohorts
23. The role of early HIV infection in the spread of HIV through populations
24. Heterosexual transmission of human immunodeficiency virus: Variability of infectivity throughout the course of infection
25. Using dyadic data for a network analysis of HIV infection and risk behaviors among injecting drug users
26. Ethical and legal issues in social network research the real and the ideal
27. Summary: Promising social network research results and suggestions for a research agenda
28. AIDS and needle sharing within the intravenous drug use subculture
29. HIV-1 infection among intravenous drug users in Manhattan, New York City, from 1977 through 1987
30. AIDS and self-organization among intravenous drug users
31. Knowledge about AIDS and high-risk behavior among intravenous drug abusers in New York City
32. Targeted sampling: Options for the study of hidden populations
33. Declining seroprevalence in a very large HIV epidemic: Injecting drug users in New York City, 1991-1996
34. Drug injecting and the spread of HIV infection in South-East Asia
35. The social organization of street-level drug markets and its impact on the displacement effect
36. Risk reduction for the acquired immunodeficiency syndrome among intravenous drug users
37. Genomic structure of an attenuated quasi species of HIV-1 from a blood transfusion donor and recipients
38. High-risk personal networks and syringe sharing as risk factors for HIV infection among new drug injectors
39. Genetic restriction of HIV-1 infection and progression to AIDS by a deletion allele of the CKR5 structural gene
40. Genetic determinants of HIV-1 infection and its manifestations
41. HIV and HLA: Confusion or complexity?
42. Influence of combinations of human major histocompatibility complex genes on the course of HIV-1 infection
43. Host genes and HIV infection: Implications and applications
44. The role of host genetics in the natural history of HIV-1 infection: The needles in the haystack
45. Viral dynamics in human immunodeficiency virus type 1 infection
46. Prognosis in HIV-1 infection predicted by the quantity of virus in plasma
47. Effect of immunization with a common recall antigen on viral expression in patients infected with human immunodeficiency virus type 1
48. Acute human immunodeficiency virus type 1 infection
49. Dynamics and control of the transmission of gonorrhea
50. HIV transmission in sexual networks: An empirical analysis
51. Linked HIV epidemics in San Francisco
52. Changes in network characteristics and HIV risk behavior among injection drug users
53. Heterogeneity of risk: Variability in social and risk networks of drug users
54. Hepatitis C virus transmission dynamics in injection drug users
55. Medical complications and treatment
56. Once more into the breach: Hepatitis C in injecting drug users
57. Modelling the spread of HIV in social networks of injecting drug users
58. Epidemiology and social networks
59. GERMS: A model of sexual networks and infection transmission in geographic and social space