Опубликована: Июнь 16, 2023
An epidemic model is constructed to consider the impact of simplicial diffusion awareness on multiplex networks. Higher-order 2-simplex interactions convey information in upper layer. In lower layer, spreading considered with metapopulation network. Final infection densities can be significantly affected by diffusion, as demonstrated simulations. The results help constrain disease such COVID-19 populations.
Язык: Английский
Energy, Год журнала: 2024, Номер 305, С. 132137 - 132137
Опубликована: Июнь 21, 2024
Язык: Английский
Процитировано
4
Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2025, Номер 35(2)
Опубликована: Фев. 1, 2025
Human behavioral awareness is usually socially relevant, decisions are made based on the behavior of individuals, and this dynamic process human with herd effects called cascade. Based complexity modern information dissemination, not monolithic. Individuals choose type epidemic-related to accept, i.e., whether it positive or negative information, according cascade, then take corresponding measures cope epidemic. In paper, we use microscopic Markov chain approach model an information-virus dual network, where layer has a threshold cascade virus susceptible-infected-recovery epidemic infection time delay recovery delay. The also non-negligible modeling factor as complete individual require sufficient time. An explicit formula for critical spread derived. We find that have significant effect threshold, mainly affects size. Experiments show local acceptance rate point epidemics under significantly affected by mass media. divides into two stages.
Язык: Английский
Процитировано
0
Physica Scripta, Год журнала: 2024, Номер 99(3), С. 035211 - 035211
Опубликована: Фев. 6, 2024
Abstract Information diffusion among individuals occurs in various ways, mainly involving pairwise and higher-order interactions, their coexistence can be characterized by simplicial complexes. This paper introduces a novel two-layer model that investigates coupled information-epidemic propagation. Specifically, the upper layer represents virtual depicts information diffusion, where interaction process is not only limited to interactions but also influenced interactions. The lower denotes physical contact portray epidemic transmission, considered In particular, emergence of asymmetric activity levels networks reshapes propagation mechanism. We then employ micro-Marko chain approach (MMCA) establish probabilistic transfer equation for each state, deduce outbreak threshold, investigate equilibrium stability proposed model. Furthermore, we perform extensive Monte Carlo (MC) simulations validate theoretical predictions. results demonstrate generates synergistic reinforcement mechanisms both facilitate inhibit transmission. Moreover, this study suggests level at has greater impact on addition, utilize two different explore influence network structural features transmission scale epidemics.
Язык: Английский
Процитировано
2
International Journal of Modern Physics C, Год журнала: 2024, Номер 35(08)
Опубликована: Янв. 8, 2024
The mobility pattern of a population plays key role in the spread epidemics. Despite extensive work on epidemic spreading, little attention has been paid to impact subpopulation size. This paper investigates epidemics bipartite metapopulation network considering recurrent patterns and different sizes subpopulations. With Markovian process approach, threshold can be predicted as function size parameters. Simulation theoretical results indicate that there exists critical intensity below which will eliminated, while limiting suppress epidemic. Additionally, approach zero when public area is large. help prevention spreading under crowd mobility.
Язык: Английский
Процитировано
1
Communications in Nonlinear Science and Numerical Simulation, Год журнала: 2024, Номер unknown, С. 108552 - 108552
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
1
Mathematical Models and Methods in Applied Sciences, Год журнала: 2023, Номер 33(13), С. 2785 - 2821
Опубликована: Окт. 28, 2023
Understanding the interplay between human behavioral phenomena and infectious disease dynamics has been one of central challenges mathematical epidemiology. However, socio-cognitive processes critical for initiation desired responses during an outbreak have often neglected or oversimplified in earlier models. Combining microscopic Markov chain approach with law total probability, we herein institute a model describing dynamic stage-based progression awareness diffusion endemic transmission multiplex networks. We analytically derived epidemic thresholds both discrete-time continuous-time versions our model, numerically demonstrated accuracy analytic arguments capturing time course steady state coupled disease-awareness dynamics. found that is exact arbitrary unclustered networks, outperforming widely adopted probability-tree-based method, prediction time-evolution contagion final size. Our findings show informing unaware individuals about circulating will not be sufficient prevention unless distributed information triggers strong infection risks adequate protective measures, immunity highly-aware can elevate threshold, but only if rate transition from weak to sufficiently high. study thus reveals other parameters nontrivially interact when producing their effects on epidemiological disease, suggesting future public health measures should ignore this complex its influence multilayered networked systems.
Язык: Английский
Процитировано
2
Computer Modeling in Engineering & Sciences, Год журнала: 2024, Номер 140(1), С. 139 - 170
Опубликована: Янв. 1, 2024
Understanding and modeling individuals' behaviors during epidemics is crucial for effective epidemic control. However, existing research ignores the impact of users' irrationality on decision-making in epidemic. Meanwhile, disease control methods often assume full compliance with measures like mandatory isolation, which does not align actual situation. To address these issues, this paper proposes a prospect theory-based framework to model process analyzes how affects dynamics. According analysis results, tends prompt conservative when infection risk low but encourages risk-seeking high. Then, behavior inducement algorithm guide spread disease. Simulations real user tests validate our analysis, simulation results show that proposed can effectively behavior.
Язык: Английский
Процитировано
0
Physics Letters A, Год журнала: 2024, Номер unknown, С. 129969 - 129969
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
0
Опубликована: Июнь 16, 2023
An epidemic model is constructed to consider the impact of simplicial diffusion awareness on multiplex networks. Higher-order 2-simplex interactions convey information in upper layer. In lower layer, spreading considered with metapopulation network. Final infection densities can be significantly affected by diffusion, as demonstrated simulations. The results help constrain disease such COVID-19 populations.
Язык: Английский
Процитировано
0