ArticleMathematical biosciences2016
Modeling a dynamic bi-layer contact network of injection drug users and the spread of blood-borne infections.
Article in Mathematical biosciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Review of Network Models for HIV Spread.Journal of acquired immune deficiency syndromes (1999) · 2025Pooled it
- Potential impact of curative and preventive interventions toward hepatitis C elimination in people who inject drugs-A network modeling study.The International journal on drug policy · 2024Article
- Country versus pharmaceutical company interests for hepatitis C treatment.Health care management science · 2022Article
- Predicting the Effectiveness of Endemic Infectious Disease Control Interventions: The Impact of Mass Action versus Network Model Structure.Medical decision making : an international journal of the Society for Medical Decision Making · 2021Article
- A review of network simulation models of hepatitis C virus and HIV among people who inject drugs.The International journal on drug policy · 2021Review
- Development and Calibration of a Dynamic HIV Transmission Model for 6 US Cities.Medical decision making : an international journal of the Society for Medical Decision Making · 2020Article
- Mathematical modeling of hepatitis c virus (HCV) prevention among people who inject drugs: A review of the literature and insights for elimination strategies.Journal of theoretical biology · 2019Review
- Cost-effectiveness of alternative strategies for provision of HIV preexposure prophylaxis for people who inject drugs.AIDS (London, England) · 2018Article
- HCV Genotype Distribution and Clinical Characteristics of HCV Mono-Infected and HCV/HIV Co-Infected Patients in Liangshan Prefecture, Sichuan Province, China.Journal of the International Association of Providers of AIDS CareArticle
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Authors and funding
3 authors.
Funding
Abstract
Injection drug users (IDUs) are at high risk of acquiring and spreading various blood-borne infections including human immunodeficiency virus (HIV), hepatitis C virus (HCV), hepatitis B virus (HBV) and a number of sexually transmitted infections. These infections can spread among IDUs via risky sexual and needle-sharing contacts. To accurately model the spread of such contagions among IDUs, we build a bi-layer network that captures both types of risky contacts. We present methodology for inferring important model parameters, such as those governing network structure and dynamics, from readily available data sources (e.g., epidemiological surveys). Such a model can be used to evaluate the efficacy of various programs that aim to combat drug addiction and contain blood-borne diseases among IDUs. The model is especially useful for evaluating interventions that exploit the structure of the contact network. To illustrate, we instantiate a network model with data collected by a needle and syringe program in Chicago. We model sexual and needle-sharing contacts and the consequent spread of HIV and HCV. We use the model to evaluate the potential effects of a peer education (PE) program under different targeting strategies. We show that a targeted PE program would avert significantly more HIV and HCV infections than an untargeted program, highlighting the importance of reaching individuals who are centrally located in contact networks when instituting prevention programs.
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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.