ArticleApplied mathematics and computation2019
Investigation of epidemic spreading process on multiplex networks by incorporating fatal properties.
Article in Applied mathematics and computation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Impact of information dissemination and behavioural responses on epidemic dynamics: A multi-layer network analysis.Infectious Disease Modelling · 2025Article
- Influential node identification method based on multi-order neighbors and exclusive neighborhood.PloS one · 2025Article
- Ground air pollutants explanation based on multiple visibility graph of complex network by temporal community division.PloS one · 2024Article
- A cyclic behavioral modeling aspect to understand the effects of vaccination and treatment on epidemic transmission dynamics.Scientific reports · 2023Article
- Modeling social, economic, and health perspectives for optimal pandemic policy decision-making.Socio-economic planning sciences · 2023Article
- Coupled disease-vaccination behavior dynamic analysis and its application in COVID-19 pandemic.Chaos, solitons, and fractals · 2023Article
- Article
- The effect of information literacy heterogeneity on epidemic spreading in information and epidemic coupled multiplex networks.Physica A · 2022Article
- Numerical simulation of the force of infection and the typical times of SARS-CoV-2 disease for different location countries.Modeling earth systems and environment · 2022Article
- Analysis of epidemic vaccination strategies on heterogeneous networks: Based on SEIRV model and evolutionary game.Applied mathematics and computation · 2021Article
- Stationary distribution and probability density function of a stochastic SVIS epidemic model with standard incidence and vaccination strategies.Chaos, solitons, and fractals · 2021Article
- The COVID-19 basic reproductive ratio using SEIR model for the Middle East countries and some other countries for two stages of the disease.Bulletin of the National Research Centre · 2021Article
- Effects of social distancing and isolation on epidemic spreading modeled via dynamical density functional theory.Nature communications · 2020Article
- Modelling and analysing the coexistence of dual dilemmas in the proactive vaccination game and retroactive treatment game in epidemic viral dynamics.Proceedings. Mathematical, physical, and engineering sciences · 2019Article
- The basic reproduction number of the new coronavirus pandemic with mortality for India, the Syrian Arab Republic, the United States, Yemen, China, France, Nigeria and Russia with different rate of cases.Clinical epidemiology and global healthArticle
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5 authors.
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Abstract
Numerous efforts have been devoted to investigating the network activities and dynamics of isolated networks. Nevertheless, in practice, most complex networks might be interconnected with each other (due to the existence of common components) and exhibit layered properties while the connections on different layers represent various relationships. These types of networks are characterized as multiplex networks. A two-layered multiplex network model (usually composed of a virtual layer sustaining unaware-aware-unaware (UAU) dynamics and a physical one supporting susceptible-infected-recovered-dead (SIRD) process) is presented to investigate the spreading property of fatal epidemics in this manuscript. Due to the incorporation of the virtual layer, the recovered and dead individuals seem to play different roles in affecting the epidemic spreading process. In details, the corresponding nodes on the virtual layer for the recovered individuals are capable of transmitting information to other individuals, while the corresponding nodes for the dead individuals (which are to be eliminated) on the virtual layer should be removed as well. With the coupled UAU-SIRD model, the relationships between the focused variables and parameters of the epidemic are studied thoroughly. As indicated by the results, the range of affected individuals will be reduced by a large amount with the incorporation of virtual layers. Furthermore, the effects of recovery time on the epidemic spreading process are also investigated aiming to consider various physical conditions. Theoretical analyses are also derived for scenarios with and without required time periods for recovery which validates the reducing effects of incorporating virtual layers on the epidemic spreading process.
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