Literature DB >> 11092433

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

S R Friedman1, B J Kottiri, A Neaigus, R Curtis, S H Vermund, D C Des Jarlais.   

Abstract

In many cities, human immunodeficiency virus (HIV)-1 seroprevalence among drug injectors stabilizes at 30-70% for many years without secondary outbreaks that increase seroprevalence by 15% or more. The authors considered how HIV-1 incidence can remain moderate at seroprevalence levels that would give maximum incidence. Previously suggested answers include behavioral risk reduction and network saturation within high-risk subgroups. Among 767 drug injectors studied in 1991-1993, during a period of stable high seroprevalence in New York City, risk behaviors remained common, and networks were far from saturated. The authors suggest a different network-based mechanism: in stable high-prevalence situations, the relatively small sizes of subnetworks of linked seronegatives (within larger networks containing both infected and uninfected persons) may limit infectious outbreaks. Any primary infection outbreak would probably be limited to members of connected subcomponents of seronegatives, and the largest such subcomponent in the study contained only 18 members (of 415 seronegatives). Research and mathematical modeling should study conditions that may affect the size and stability of subcomponents of seronegatives. Finally, if the existence of small, connected components of seronegatives prevents secondary outbreaks, this protection may weaken, and vulnerability to new outbreaks increase, if HIV-1 seroprevalence falls. Thus, in situations of declining prevalence, prevention programs should be maintained or strengthened.

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Year:  2000        PMID: 11092433     DOI: 10.1093/aje/152.10.913

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  56 in total

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Review 3.  Addressing the "risk environment" for injection drug users: the mysterious case of the missing cop.

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4.  Assessing respondent-driven sampling.

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5.  Reciprocal sex partner concurrency and STDs among heterosexuals at high-risk of HIV infection.

Authors:  Alan Neaigus; Samuel M Jenness; Holly Hagan; Christopher S Murrill; Travis Wendel
Journal:  J Urban Health       Date:  2013-10       Impact factor: 3.671

6.  The impact of legalizing syringe exchange programs on arrests among injection drug users in California.

Authors:  Alexis N Martinez; Ricky N Bluthenthal; Jennifer Lorvick; Rachel Anderson; Neil Flynn; Alex H Kral
Journal:  J Urban Health       Date:  2007-05       Impact factor: 3.671

7.  "It Ruined My Life": The effects of the War on Drugs on people who inject drugs (PWID) in rural Puerto Rico.

Authors:  R Abadie; C Gelpi-Acosta; C Davila; A Rivera; M Welch-Lazoritz; K Dombrowski
Journal:  Int J Drug Policy       Date:  2017-07-14

8.  Differences in the social networks of ethnic Vietnamese and non-Vietnamese injecting drug users and their implications for blood-borne virus transmission.

Authors:  C K Aitken; P Higgs; S Bowden
Journal:  Epidemiol Infect       Date:  2007-05-17       Impact factor: 2.451

9.  The Interaction of Risk Network Structures and Virus Natural History in the Non-spreading of HIV Among People Who Inject Drugs in the Early Stages of the Epidemic.

Authors:  Kirk Dombrowski; Bilal Khan; Patrick Habecker; Holly Hagan; Samuel R Friedman; Mohamed Saad
Journal:  AIDS Behav       Date:  2017-04

10.  Using sociometric measures to assess nonresponse bias.

Authors:  Britt Livak; John A Schneider
Journal:  Ann Epidemiol       Date:  2014-04-24       Impact factor: 3.797

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