Modeling a dynamic bi-layer contact network of injection drug users and the spread of blood-borne infections

Mathematical Biosciences
Rui FuMargaret L Brandeau

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 ...Continue Reading

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Citations

Dec 24, 2019·Medical Decision Making : an International Journal of the Society for Medical Decision Making·Xiao ZangUNKNOWN Localized HIV Modeling Study Group
Nov 20, 2019·The International Journal on Drug Policy·Meghan BelleroseBenjamin P Linas
Apr 27, 2021·Medical Decision Making : an International Journal of the Society for Medical Decision Making·Giovanni S P MalloyMargaret L Brandeau

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