World Journal of AIDS

World Journal of AIDS

ISSN Print: 2160-8814
ISSN Online: 2160-8822
www.scirp.org/journal/wja
E-mail: wja@scirp.org
"Topological and Historical Considerations for Infectious Disease Transmission among Injecting Drug Users in Bushwick, Brooklyn (USA)"
written by Kirk Dombrowski, Richard Curtis, Samuel Friedman, Bilal Khan,
published by World Journal of AIDS, Vol.3 No.1, 2013
has been cited by the following article(s):
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[2] Prevalence and Risk Factors associated with Homelessness among Drug Users in Puerto Rico
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[4] A review of network simulation models of hepatitis C virus and HIV among people who inject drugs
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[5] An Examination of Capital in a Network of People Who Inject Drugs
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[6] Heroin type, injecting behavior, and HIV transmission. A simulation model of HIV incidence and prevalence
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[7] Using Contact Patterns to Inform HIV Interventions in Persons Who Inject Drugs in Northern Vietnam.
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[8] Pockets of HIV Non-infection Within Highly-Infected Risk Networks in Athens, Greece
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[9] Using Contact Patterns to Inform HIV Interventions in Persons Who Inject Drugs in Northern Vietnam
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[10] Network Research Experiences in New York and Eastern Europe: Lessons for the Southern US in Understanding HIV Transmission Dynamics
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[11] Modeling the Intervention of HIV Transmission across Intertwined Key Populations
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[12] Network dynamics of HIV risk and prevention in a population-based cohort of young Black men who have sex with men
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[13] One-step Estimation of Networked Population Size with Anonymity Using Respondent-Driven Capture-Recapture and Hashing
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[14] Hepatitis C serosorting among people who inject drugs in rural Puerto Rico
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[15] A network model for the propagation of Hepatitis C
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[16] Epidemic potential by sexual activity distributions
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[17] Using Network Sampling and Recruitment Data to Understand Social Structures Related to Community Health in a Population of People Who Inject Drugs in Rural …
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[18] A network model for the propagation of Hepatitis C with HIV co-infection
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[19] Social Network Clustering and the Spread of HIV/AIDS Among Persons Who Inject Drugs in 2 Cities in the Philippines
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[20] Rural and urban injection drug use in Puerto Rico: Network implications for human immunodeficiency virus and hepatitis C virus infection
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[21] “It Ruined My Life”: The effects of the War on Drugs on people who inject drugs (PWID) in rural Puerto Rico
International Journal of Drug Policy, 2017
[22] One-step Estimation of Networked Population Size: Respondent-Driven Capture-Recapture with Anonymity
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[23] Injection Partners, HCV, and HIV Status among Rural Persons Who Inject Drugs in Puerto Rico
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[24] Kirk Dombrowski, Bilal Khan, Patrick Habecker, Holly Hagan, Samuel
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[25] Needle acquisition patterns, network risk and social capital among rural PWID in Puerto Rico
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[26] Using network sampling and recruitment data to understand social structures related to community health in a population of people who inject drugs in rural …
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[27] Social Network Clustering and the Spread of HIV/AIDS Among Persons Who Inject Drugs in 2 Cities in the Philippines.
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[28] Social network clustering and the spread of HIV/AIDS among persons who inject drugs in two cities in the Philippines
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[29] Integrating molecular epidemiology and social network analysis to study infectious diseases: towards a socio-molecular era for public health
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[30] Phylogenetic estimation of contact network parameters with approximate Bayesian computation
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[31] Reconstructing contact network parameters from viral phylogenies
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[32] 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
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[33] CONTROL OF AN HIV EPIDEMIC AMONG INJECTION DRUG USERS: SIMULATION MODELING ON COMPLEX NETWORKS
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[34] Current Rural Drug Use in the US Midwest
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[35] Social Network Analysis Using Perceptual Tomography
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[36] Will HIV Vaccination Reshape HIV Risk Behavior Networks? A Social Network Analysis of Drug Users' Anticipated Risk Compensation
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[37] A Reexamination of Connectivity Trends via Exponential Random Graph Modeling in Two IDU Risk Networks
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