ArticleJournal of the Royal Society, Interface2019
Hepatitis C virus modelled as an indirectly transmitted infection highlights the centrality of injection drug equipment in disease dynamics.
Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Surface Composition and Temperature Interact to Shape Viral Survival and Growth.Environmental microbiology · 2026Article
- Modeling the effects of treatment adherence challenges on the transmission dynamics of hepatitis C virus.PloS one · 2025Article
- A mathematical model of HCV transmission dynamics with sex stratification and environmental effects.PloS one · 2025Article
- Evolutionary Invasion Analysis of Modern Epidemics Highlights the Context-Dependence of Virulence Evolution.Bulletin of mathematical biology · 2024Article
- Hepatitis C Virus Dynamic Transmission Models Among People Who Inject Drugs.Infection and drug resistance · 2023Review
- Variation in microparasite free-living survival and indirect transmission can modulate the intensity of emerging outbreaks.Scientific reports · 2020Article
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4 authors.
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Abstract
The hepatitis C virus (HCV) epidemic often occurs through the persistence of injection drug use. Mathematical models have been useful in understanding various aspects of the HCV epidemic, and especially, the importance of new treatment measures. Until now, however, few models have attempted to understand HCV in terms of an interaction between the various actors in an HCV outbreak-hosts, viruses and the needle injection equipment. In this study, we apply perspectives from the ecology of infectious diseases to model the transmission of HCV among a population of injection drug users. The products of our model suggest that modelling HCV as an indirectly transmitted infection-where the injection equipment serves as an environmental reservoir for infection-facilitates a more nuanced understanding of disease dynamics, by animating the underappreciated actors and interactions that frame disease. This lens may allow us to understand how certain public health interventions (e.g. needle exchange programmes) influence HCV epidemics. Lastly, we argue that this model is of particular importance in the light of the modern opioid epidemic, which has already been associated with outbreaks of viral diseases.
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