ArticlePhysical review. E2019
Epidemic spreading with awareness and different timescales in multiplex networks.
Article in Physical review. E, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Opinion-driven vaccination and epidemic dynamics on heterogeneous networks.Scientific reports · 2026Article
- Social, mobility and contact networks in shaping health behaviours and infectious disease dynamics: a scoping review.Infectious diseases of poverty · 2025Article
- Impact of information dissemination and behavioural responses on epidemic dynamics: A multi-layer network analysis.Infectious Disease Modelling · 2025Article
- Epidemic Dynamics and Intervention Measures in Campus Settings Based on Multilayer Temporal Networks.Entropy (Basel, Switzerland) · 2025Article
- Modelling the mitigation of anti-vaccine opinion propagation to suppress epidemic spread: A computational approach.PloS one · 2025Article
- Identification of disease propagation paths in two-layer networks.Scientific reports · 2023Article
- Multilayer networks with higher-order interaction reveal the impact of collective behavior on epidemic dynamics.Chaos, solitons, and fractals · 2022Article
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- Article
- Challenges for modelling interventions for future pandemics.Epidemics · 2022Article
- Role of Time Scales in the Coupled Epidemic-Opinion Dynamics on Multiplex Networks.Entropy (Basel, Switzerland) · 2022Article
- Coupling Epidemiological Models with Social Dynamics.Bulletin of mathematical biology · 2021Article
- Social interaction layers in complex networks for the dynamical epidemic modeling of COVID-19 in Brazil.Physica A · 2021Article
- An epidemiological model with voluntary quarantine strategies governed by evolutionary game dynamics.Chaos, solitons, and fractals · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
One of the major issues in theoretical modeling of epidemic spreading is the development of methods to control the transmission of an infectious agent. Human behavior plays a fundamental role in the spreading dynamics and can be used to stop a disease from spreading or to reduce its burden, as individuals aware of the presence of a disease can take measures to reduce their exposure to contagion. In this paper, we propose a mathematical model for the spread of diseases with awareness in complex networks. Unlike previous models, the information is propagated following a generalized Maki-Thompson rumor model. Flexibility on the timescale between information and disease spreading is also included. We verify that the velocity characterizing the diffusion of information awareness greatly influences the disease prevalence. We also show that a reduction in the fraction of unaware individuals does not always imply a decrease of the prevalence, as the relative timescale between disease and awareness spreading plays a crucial role in the systems' dynamics. This result is shown to be independent of the network topology. We finally calculate the epidemic threshold of our model, and show that it does not depend on the relative timescale. Our results provide a new view on how information influence disease spreading and can be used for the development of more efficient methods for disease control.
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