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We study ODE models of epidemic spreading with a preventive behavioral response that is triggered by awareness of the infection. Previous studies of such models have mostly focused on the impact of the response on the initial growth of an…

种群与进化 · 定量生物学 2017-08-08 Winfried Just , Joan Saldana , Ying Xin

This paper is concerned with the robustness of the sustained oscillations predicted by an epidemic ODE model defined on contact networks. The model incorporates the spread of awareness among individuals and, moreover, a small inflow of…

种群与进化 · 定量生物学 2020-11-11 David Juher , David Rojas , Joan Saldaña

Many progresses in the understanding of epidemic spreading models have been obtained thanks to numerous modeling efforts and analytical and numerical studies, considering host populations with very different structures and properties,…

物理与社会 · 物理学 2018-02-02 Antoine Moinet , Alain Barrat , Romualdo Pastor Satorras

In this paper, we study the interplay between the epidemic spreading and the diffusion of awareness in multiplex networks. In the model, an infectious disease can spread in one network representing the paths of epidemic spreading (contact…

物理与社会 · 物理学 2016-08-16 Jia-Qian Kan , Hai-Feng Zhang

When an infection spreads in a community, an individual's probability of becoming infected depends on both her susceptibility and exposure to the contagion through contact with others. While one often has knowledge regarding an individual's…

社会与信息网络 · 计算机科学 2017-12-05 Maggie Makar , John Guttag , Jenna Wiens

We consider the spread of epidemics in technological and social networks. How do people react? Does awareness and cautious behavior help? We analyze these questions and present a dynamic model to describe the movement of individuals and/or…

社会与信息网络 · 计算机科学 2015-03-19 Robert Elsässer , Adrian Ogierman

The adoption of prophylaxis attitudes, such as social isolation and use of face masks, to mitigate epidemic outbreaks strongly depends on the support of the population. In this work, we investigate a susceptible-infected-recovered (SIR)…

物理与社会 · 物理学 2022-10-05 Diogo H. Silva , Celia Anteneodo , Silvio C. Ferreira

In the present work, a non-linear stochastic model is presented to study the effect of time variation of transmission rates on the co-evolution of epidemics and its corresponding awareness over a two layered multiplex network. In this…

物理与社会 · 物理学 2021-12-08 Vikram Sagar , Yi Zhao , Abhijit Sen

Albeit epidemic models have evolved into powerful predictive tools for the spread of diseases and opinions, most assume memoryless agents and independent transmission channels. We develop an infection mechanism that is endowed with memory…

物理与社会 · 物理学 2019-05-22 Xavier R. Hoffmann , Marián Boguñá

The course of an epidemic is not only shaped by infection transmission over face-to-face contacts, but also by preventive behaviour caused by risk perception and social interactions. This study explores the dynamics of coupled awareness and…

物理与社会 · 物理学 2025-02-24 Tim Van Wesemael , Luis E. C. Rocha , Jan M. Baetens

There is a rich history of models for the interaction of a biological contagion like influenza with the spread of related information such as an influenza vaccination campaign. Recent work on the spread of interacting contagions on networks…

物理与社会 · 物理学 2020-09-02 Laurent Hébert-Dufresne , Dina Mistry , Benjamin M. Althouse

Human behavioral responses play an important role in the impact of disease outbreaks and yet they are often overlooked in epidemiological models. Understanding to what extent behavioral changes determine the outcome of spreading epidemics…

物理与社会 · 物理学 2020-05-27 Benjamin Steinegger , Alex Arenas , Jesús Gómez-Gardeñes , Clara Granell

One of the major issues in the 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…

We study the critical effect of an intermittent social distancing strategy on the propagation of epidemics in adaptive complex networks. We characterize the effect of our strategy in the framework of the susceptible-infected-recovered…

物理与社会 · 物理学 2012-04-02 L. D. Valdez , P. A. Macri , L. A. Braunstein

Epidemic spreading processes on dynamic multiplex networks provide a more accurate description of natural spreading processes than those on single layered networks. To describe the influence of different individuals in the awareness layer…

社会与信息网络 · 计算机科学 2025-11-25 Minyu Feng , Xiangxi Li , Yuhan Li , Qin Li

We study stationary epidemic processes in scale-free networks with local awareness behavior adopted by only susceptible, only infected, or all nodes. We find that while the epidemic size in the susceptible-aware and the all-aware models…

物理与社会 · 物理学 2025-03-07 Csegő Balázs Kolok , Gergely Ódor , Dániel Keliger , Márton Karsai

This paper analyses the dynamics of infectious disease with a concurrent spread of disease awareness. The model includes local awareness due to contacts with aware individuals, as well as global awareness due to reported cases of infection…

种群与进化 · 定量生物学 2017-04-21 G. O. Agaba , Y. N. Kyrychko , K. B. Blyuss

Spreading broadly refers to the notion of an entity propagating throughout a networked system via its interacting components. Evidence of its ubiquity and severity can be seen in a range of phenomena, from disease epidemics to financial…

物理与社会 · 物理学 2018-04-25 Christos Ellinas

It is well known that behavioral changes in contact patterns may significantly affect the spread of an epidemic outbreak. Here we focus on simple endemic models for recurrent epidemics, by modelling the social contact rate as a function of…

种群与进化 · 定量生物学 2013-09-16 Alberto d'Onofrio , Piero Manfredi

Resource support between individuals is of particular importance in controlling or mitigating epidemic spreading, especially during pandemics. Whereas there remains the question of how we can protect ourselves from being infected while…

物理与社会 · 物理学 2020-02-10 Xiaolong Chen , Quanhui Liu , Ruijie Wang , Qing Li , Wei Wang
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