ArticleEpidemiology and infection2019
Injection drug network characteristics as a predictor of injection behaviour.
Article in Epidemiology and infection, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Pooled it
- Geometric deep learning enables high-fidelity network imputation for HIV transmission modeling.Communications medicine · 2026Article
- Evaluation of the Relationship Between Network Centrality and Individual Sociodemographics and Behaviors Among People Who Inject Drugs.Substance use & misuse · 2026Article
- Leveraging injection networks to prevent HIV and other blood borne infections among people who inject drugs in Kenya: design and rationale.BMC infectious diseases · 2025Article
- Perceived Social Isolation and Fentanyl Use Among Adults Who Inject Drugs in Rural Kentucky.Social work in public health · 2025Article
- Network centrality and HIV prevention service use among people who inject drugs: Findings from a sociometric network cohort in New Delhi, India.Addiction (Abingdon, England) · 2024Observational
- Differences in characteristics and interactions with close contacts among PWID in the San Diego Border Region before and during the COVID-19 pandemic.Journal of migration and health · 2024Article
- Finding influential subjects in a network using a causal framework.Biometrics · 2023Review
- Methods for Assessing Spillover in Network-Based Studies of HIV/AIDS Prevention among People Who Use Drugs.Pathogens (Basel, Switzerland) · 2023Article
- A stakeholder-driven framework for measuring potential change in the health risks of people who inject drugs (PWID) during the COVID-19 pandemic.The International journal on drug policy · 2022Article
- Level and correlates of social support in a community-based sample of Australians who primarily smoke methamphetamine.Health & social care in the community · 2022Article
- Deep learning and social network analysis elucidate drivers of HIV transmission in a high-incidence cohort of people who inject drugs.Science advances · 2022Article
- Hepatitis C virus infection and polysubstance use among young adult people who inject drugs in a rural county of New Mexico.Drug and alcohol dependence · 2021Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social network characteristics of people who inject drugs (PWID) have previously been flagged as potential risk factors for HCV transmission such as increased injection frequency. To understand the role of the injecting network on injection frequency, we investigated how changes in an injecting network over time can modulate injecting risk behaviour. PWID were sourced from the Networks 2 Study, a longitudinal cohort study of PWID recruited from illicit drug street markets across Melbourne, Australia. Network-related correlates of injection frequency and the change in frequency over time were analysed using adjusted Cox Proportional Hazards and Generalised Estimating Equations modelling. Two-hundred and eighteen PWID followed up for a mean (s.d.) of 2.8 (1.7) years were included in the analysis. A greater number of injecting partners, network closeness centrality and eigenvector centrality over time were associated with an increased rate of infection frequency. Every additional injection drug partner was associated with an increase in monthly injection frequency. Similarly, increased network connectivity and centrality over time was also associated with an increase in injection frequency. This study observed that baseline network measures of connectivity and centrality may be associated with changes in injection frequency and, by extension, may predict subsequent HCV transmission risk. Longitudinal changes in network position were observed to correlate with changes in injection frequency, with PWID who migrate from the densely-connected network centre out to the less-connected periphery were associated with a decreased rate of injection frequency.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.