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

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.

[1]  Richard Curtis,et al.  The Improbable Transformation of Inner-City Neighborhoods: Crime, Violence, Drugs, and Youth in the 1990s , 1998 .

[2]  Don C Des Jarlais,et al.  Drug use patterns and infection with sexually transmissible agents among young adults in a high-risk neighbourhood in New York City. , 2003, Addiction.

[3]  R. Curtis,et al.  Using dyadic data for a network analysis of HIV infection and risk behaviors among injecting drug users. , 1995, NIDA research monograph.

[4]  Bilal Khan,et al.  A Reexamination of Connectivity Trends via Exponential Random Graph Modeling in Two IDU Risk Networks , 2013, Substance use & misuse.

[5]  M. Handcock,et al.  Social networks (communication arising): Sexual contacts and epidemic thresholds , 2003, Nature.

[6]  Catherine H Mercer,et al.  Scale-Free Networks and Sexually Transmitted Diseases: A Description of Observed Patterns of Sexual Contacts in Britain and Zimbabwe , 2004, Sexually transmitted diseases.

[7]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[8]  Carson C. Chow,et al.  Small Worlds , 2000 .

[9]  Gilbert Ildefonso,et al.  Appendix: Methods for Assigning Linkages in Studies of Drug Injector Networks , 2002 .

[10]  A. Barabasi,et al.  Halting viruses in scale-free networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[11]  Richard Stetson Curtis The war on drugs in Brooklyn, New York : street-level drug markets and the tactical narcotics team , 1996 .

[12]  H. Eugene Stanley,et al.  Social networks (communication arising): Sexual contacts and epidemic thresholds , 2003, Nature.

[13]  Alessandro Vespignani,et al.  Epidemic spreading in scale-free networks. , 2000, Physical review letters.

[14]  R. Rothenberg,et al.  Sociometric risk networks and risk for HIV infection. , 1997, American journal of public health.

[15]  M. Newman Spread of epidemic disease on networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[16]  L. Amaral,et al.  The web of human sexual contacts , 2001, Nature.

[17]  Albert-László Barabási,et al.  Evolution of Networks: From Biological Nets to the Internet and WWW , 2004 .

[18]  S. Friedman,et al.  Street-level drug markets: Network structure and HIV risk , 1995 .

[19]  Massimo Marchiori,et al.  Error and attacktolerance of complex network s , 2004 .

[20]  Samuel R. Friedman,et al.  Social Networks, Drug Injectors’ Lives, and HIV/AIDS , 1999, AIDS Prevention and Mental Health.

[21]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[22]  S. Vermund,et al.  Network-related mechanisms may help explain long-term HIV-1 seroprevalence levels that remain high but do not approach population-group saturation. , 2000, American journal of epidemiology.

[23]  S. Friedman,et al.  Some Data-Driven Reflections on Priorities in AIDS Network Research , 2007, AIDS and Behavior.

[24]  P. Bearman,et al.  Chains of Affection: The Structure of Adolescent Romantic and Sexual Networks1 , 2004, American Journal of Sociology.

[25]  L. Amaral,et al.  Sexual contacts and epidemic thresholds - Reply , 2003 .

[26]  P. V. Marsden,et al.  Models and Methods in Social Network Analysis: Recent Developments in Network Measurement , 2005 .

[27]  R. May,et al.  Infection dynamics on scale-free networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[28]  Gesine Reinert,et al.  Small worlds , 2001, Random Struct. Algorithms.