Literature DB >> 24672745

Topological and Historical Considerations for Infectious Disease Transmission among Injecting Drug Users in Bushwick, Brooklyn (USA).

Kirk Dombrowski1, Richard Curtis1, Samuel Friedman2, Bilal Khan1.   

Abstract

Recent interest by physicists in social networks and disease transmission factors has prompted debate over the topology of degree distributions in sexual networks. Social network researchers have been critical of "scale-free" Barabasi-Albert approaches, and largely rejected the preferential attachment, "rich-get-richer" assumptions that underlie that model. Instead, research on sexual networks has pointed to the importance of homophily and local sexual norms in dictating degree distributions, and thus disease transmission thresholds. Injecting Drug User (IDU) network topologies may differ from the emerging models of sexual networks, however. Degree distribution analysis of a Brooklyn, NY, IDU network indicates a different topology than the spanning tree configurations discussed for sexual networks, instead featuring comparatively short cycles and high concurrency. Our findings suggest that IDU networks do in some ways conform to a "scale-free" topology, and thus may represent "reservoirs" of potential infection despite seemingly low transmission thresholds.

Entities:  

Keywords:  Injecting Drug Users; Scale-Free Networks; Social Network Analysis

Year:  2013        PMID: 24672745      PMCID: PMC3963185          DOI: 10.4236/wja.2013.31001

Source DB:  PubMed          Journal:  World J AIDS        ISSN: 2160-8814


  15 in total

1.  Emergence of scaling in random networks

Authors: 
Journal:  Science       Date:  1999-10-15       Impact factor: 47.728

2.  The web of human sexual contacts.

Authors:  F Liljeros; C R Edling; L A Amaral; H E Stanley; Y Aberg
Journal:  Nature       Date:  2001-06-21       Impact factor: 49.962

3.  Infection dynamics on scale-free networks.

Authors:  R M May; A L Lloyd
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2001-11-19

4.  Sociometric risk networks and risk for HIV infection.

Authors:  S R Friedman; A Neaigus; B Jose; R Curtis; M Goldstein; G Ildefonso; R B Rothenberg; D C Des Jarlais
Journal:  Am J Public Health       Date:  1997-08       Impact factor: 9.308

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

Authors:  S R Friedman; B J Kottiri; A Neaigus; R Curtis; S H Vermund; D C Des Jarlais
Journal:  Am J Epidemiol       Date:  2000-11-15       Impact factor: 4.897

6.  Halting viruses in scale-free networks.

Authors:  Zoltán Dezso; Albert-László Barabási
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-05-21

7.  Drug use patterns and infection with sexually transmissible agents among young adults in a high-risk neighbourhood in New York City.

Authors:  Samuel R Friedman; Peter L Flom; Benny J Kottiri; Jonathan Zenilman; Richard Curtis; Alan Neaigus; Milagros Sandoval; Thomas Quinn; Don C Des Jarlais
Journal:  Addiction       Date:  2003-02       Impact factor: 6.526

8.  Scale-free networks and sexually transmitted diseases: a description of observed patterns of sexual contacts in Britain and Zimbabwe.

Authors:  Anne Schneeberger; Catherine H Mercer; Simon A J Gregson; Neil M Ferguson; Constance A Nyamukapa; Roy M Anderson; Anne M Johnson; Geoff P Garnett
Journal:  Sex Transm Dis       Date:  2004-06       Impact factor: 2.830

9.  Using dyadic data for a network analysis of HIV infection and risk behaviors among injecting drug users.

Authors:  A Neaigus; S R Friedman; M Goldstein; G Ildefonso; R Curtis; B Jose
Journal:  NIDA Res Monogr       Date:  1995

10.  A reexamination of connectivity trends via exponential random graph modeling in two IDU risk networks.

Authors:  Kirk Dombrowski; Bilal Khan; Katherine McLean; Ric Curtis; Travis Wendel; Evan Misshula; Samuel Friedman
Journal:  Subst Use Misuse       Date:  2013-07-02       Impact factor: 2.164

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  22 in total

1.  "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

Review 2.  Network Research Experiences in New York and Eastern Europe: Lessons for the Southern US in Understanding HIV Transmission Dynamics.

Authors:  Samuel R Friedman; Leslie Williams; April M Young; Jennifer Teubl; Dimitrios Paraskevis; Evangelia Kostaki; Carl Latkin; Danielle German; Pedro Mateu-Gelabert; Honoria Guarino; Tetyana I Vasylyeva; Britt Skaathun; John Schneider; Ania Korobchuk; Pavlo Smyrnov; Georgios Nikolopoulos
Journal:  Curr HIV/AIDS Rep       Date:  2018-06       Impact factor: 5.071

3.  Rural and urban injection drug use in Puerto Rico: Network implications for human immunodeficiency virus and hepatitis C virus infection.

Authors:  Courtney Thrash; Melissa Welch-Lazoritz; Gertrude Gauthier; Bilal Khan; Roberto Abadie; Kirk Dombrowski; Sandra Miranda De Leon; Yadira Rolon Colon
Journal:  J Ethn Subst Abuse       Date:  2017-06-30       Impact factor: 1.507

4.  Using Network Sampling and Recruitment Data to Understand Social Structures Related to Community Health in a Population of People Who Inject Drugs in Rural Puerto Rico.

Authors:  Mayra Coronado-García; Courtney R Thrash; Melissa Welch-Lazoritz; Robin Gauthier; Juan Carlos Reyes; Bilal Khan; Kirk Dombrowski
Journal:  P R Health Sci J       Date:  2017-06       Impact factor: 0.705

5.  Injection Partners, HCV, and HIV Status among Rural Persons Who Inject Drugs in Puerto Rico.

Authors:  Patrick Habecker; Roberto Abadie; Melissa Welch-Lazoritz; Juan Carlos Reyes; Bilal Khan; Kirk Dombrowski
Journal:  Subst Use Misuse       Date:  2017-11-22       Impact factor: 2.164

6.  Epidemic potential by sexual activity distributions.

Authors:  James Moody; Jimi Adams; Martina Morris
Journal:  Netw Sci (Camb Univ Press)       Date:  2017-04-24

7.  Social Network Clustering and the Spread of HIV/AIDS Among Persons Who Inject Drugs in 2 Cities in the Philippines.

Authors:  Ashton M Verdery; Nalyn Siripong; Brian W Pence
Journal:  J Acquir Immune Defic Syndr       Date:  2017-09-01       Impact factor: 3.731

8.  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

9.  A reexamination of connectivity trends via exponential random graph modeling in two IDU risk networks.

Authors:  Kirk Dombrowski; Bilal Khan; Katherine McLean; Ric Curtis; Travis Wendel; Evan Misshula; Samuel Friedman
Journal:  Subst Use Misuse       Date:  2013-07-02       Impact factor: 2.164

10.  Using Contact Patterns to Inform HIV Interventions in Persons Who Inject Drugs in Northern Vietnam.

Authors:  M Kumi Smith; Matthew Graham; Carl A Latkin; Vivian L Go
Journal:  J Acquir Immune Defic Syndr       Date:  2018-05-01       Impact factor: 3.731

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