4.6 Article

Impact of awareness dissemination on epidemic reaction-diffusion in multiplex networks

Related references

Note: Only part of the references are listed.
Article Physics, Multidisciplinary

The influence of individual emotions on the coupled model of unconfirmed information propagation and epidemic spreading in multilayer networks

Liang'an Huo et al.

Summary: This study establishes a model of epidemic spreading and unconfirmed information propagation in multilayer networks considering individuals' emotional factors. The mean-field method is used to analyze the dynamic propagation process and determine the epidemic threshold. The results demonstrate that unconfirmed information, though still beneficial, can help curb the spread of the epidemic. Additionally, individuals with different emotions adopt different self-protective behaviors, further influencing the epidemic's spread.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2023)

Article Mathematics, Interdisciplinary Applications

The impact of the self-recognition ability and physical quality on coupled negative information-behavior-epidemic dynamics in multiplex networks

Liang'an Huo et al.

Summary: In this paper, a coupled negative information-behavior-epidemic dynamics model is constructed to study the influence of individual's self-recognition ability and physical quality in multiplex networks. The effects of decision-adoption process and heterogeneity are explored, and the microscopic Markov chain approach is used to describe the dynamic process. The findings suggest that increasing media clarification strength and improving self-recognition ability can facilitate epidemic control, while increasing physical quality can delay outbreak and suppress transmission. The results provide valuable references for managing negative information, promoting immunization behaviors, and suppressing epidemics.

CHAOS SOLITONS & FRACTALS (2023)

Article Physics, Multidisciplinary

The coupled dynamics of information dissemination and SEIR-based epidemic spreading in multiplex networks

Weicai Ma et al.

Summary: Reducing the proportion of asymptomatic infections, accelerating information dissemination between individuals, and utilizing mass media for information dissemination can effectively inhibit epidemic spreading and raise the epidemic threshold.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2022)

Article Mathematics, Interdisciplinary Applications

Diffusion of resources and their impact on epidemic spreading in multilayer networks with simplicial complexes

Qingyi Sun et al.

Summary: Recent studies have shown that personal resources have a significant impact on the dynamics of epidemic spreading. This study proposes a multilayer network model to study the impact of resource diffusion on disease propagation in higher-order networks. It is found that the diffusion of resources can substantially change the epidemic threshold, and the model can accurately predict the epidemic spreading within the networked population.

CHAOS SOLITONS & FRACTALS (2022)

Article Mathematics, Interdisciplinary Applications

The dynamics of epidemic spreading on signed networks

Hui-Jia Li et al.

Summary: In recent years, research on epidemic spreading on complex networks has been successful, but the dynamics of epidemic spreading on signed networks have received little attention. This study proposes a modified signed epidemiological model, incorporating positive and negative transmission rates based on structural balance theory, to investigate the impact of structural balance on epidemic dynamics. Through simulations and theoretical analysis, the study reveals the influence of network structure on epidemic spreading.

CHAOS SOLITONS & FRACTALS (2021)

Article Mathematics, Interdisciplinary Applications

Dynamic analysis of a delayed COVID-19 epidemic with home quarantine in temporal-spatial heterogeneous via global exponential attractor method

Cheng-Cheng Zhu et al.

Summary: This study uses the global exponential attractor theory to explore the spreading trend of the COVID-19 epidemic with relapse, time delay, and home quarantine in a temporal-spatial heterogeneous environment. The principal eigenvalue λ* is found to be more accurate in describing the spread of the epidemic in a heterogeneous environment than the usual basic reproduction number R-0, providing a theoretical basis for current epidemic prevention and control.

CHAOS SOLITONS & FRACTALS (2021)

Article Computer Science, Artificial Intelligence

Identifying super-spreaders in information-epidemic coevolving dynamics on multiplex networks

Qi Zeng et al.

Summary: Identifying super-spreaders in epidemics is crucial for disease control, and a new centrality measure called coupling-sensitive centrality is proposed to address this issue by considering the structural and dynamical couplings between communication and physical contact layers. The simulation results demonstrate that this new measure outperforms traditional centralities in accurately identifying super-spreaders, highlighting the importance of considering couplings between layers in coupled multilayer systems.

KNOWLEDGE-BASED SYSTEMS (2021)

Article Physics, Multidisciplinary

Information sharing can suppress the spread of epidemics: Voluntary vaccination game on two-layer networks

Jianwei Wang et al.

Summary: Vaccination decisions are influenced by individual benefits and the behavior of others; fast information transmission on social media expands the scope of imitation; information sharing can inhibit individual vaccination decisions to some extent, but overall beneficial for reducing the scale of disease spreading in society.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2021)

Article Physics, Multidisciplinary

Information, opinion and pandemic

Americo T. Bernardes et al.

Summary: The global COVID-19 pandemic has resulted in nearly 1 million deaths, with different political stances and modes of dissemination causing confusion among people, potentially influencing the spread of the virus.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2021)

Review Physics, Multidisciplinary

Non-pharmaceutical interventions during the COVID-19 pandemic: A review

Nicola Perra

Summary: Infectious diseases and human behavior are closely linked, with the outbreak of COVID-19 leading to significant behavioral changes. Non-pharmaceutical interventions have played a key role in combating the virus, prompting various societal processes to adapt. The availability of data describing behavioral changes induced by the pandemic has increased dramatically, providing opportunities for future research and challenges.

PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS (2021)

Article Engineering, Mechanical

Impacts of information propagation on epidemic spread over different migration routes

Bing Wang et al.

Summary: The study examines the interaction between epidemic and information transmission over separate migration routes. Information transmission has a limited impact on suppressing the epidemic, and further increase in transmission rate beyond a critical value does not affect the epidemic. Individual migration routes and frequencies play a crucial role in information transmission and epidemic spread, while the initial population distribution is also a fundamental factor influencing epidemic dynamics.

NONLINEAR DYNAMICS (2021)

Article Multidisciplinary Sciences

SARS-CoV-2 B.1.617.2 Delta variant replication and immune evasion

Petra Mlcochova et al.

Summary: The B.1.617.2 (Delta) variant of SARS-CoV-2 has lower sensitivity to antibodies and higher replication efficiency compared to other lineages, which may contribute to its dominance and reduced vaccine effectiveness, highlighting the need for continued infection control measures post-vaccination.

NATURE (2021)

Article Medical Informatics

Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study

Benjamin Rader et al.

Summary: Face masks have become common in the USA due to the COVID-19 pandemic. A study investigated the association between self-reported mask-wearing, physical distancing, and SARS-CoV-2 transmission control in the USA. The research found that increased mask-wearing and physical distancing were associated with higher odds of transmission control, even without government mandates.

LANCET DIGITAL HEALTH (2021)

Article Physics, Multidisciplinary

Optimal control of infectious disease: Information-induced vaccination and limited treatment

Anuj Kumar et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2020)

Article Medicine, General & Internal

Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

Chaolin Huang et al.

LANCET (2020)

Article Medicine, General & Internal

A Novel Coronavirus from Patients with Pneumonia in China, 2019

Na Zhu et al.

NEW ENGLAND JOURNAL OF MEDICINE (2020)

Article Mathematics, Interdisciplinary Applications

Analysis and forecast of COVID-19 spreading in China, Italy and France

Duccio Fanelli et al.

CHAOS SOLITONS & FRACTALS (2020)

Article Mathematics, Interdisciplinary Applications

COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions

Petronio C. L. Silva et al.

CHAOS SOLITONS & FRACTALS (2020)

Article Multidisciplinary Sciences

Face mask use in the general population and optimal resource allocation during the COVID-19 pandemic

Colin J. Worby et al.

NATURE COMMUNICATIONS (2020)

Article Physics, Multidisciplinary

Novel method for spreading information with fewer resources in scale-free networks

Shuangyan Wang et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)

Article Computer Science, Information Systems

A new coupled disease-awareness spreading model with mass media on multiplex networks

Chengyi Xia et al.

INFORMATION SCIENCES (2019)

Article Physics, Multidisciplinary

Critical regimes driven by recurrent mobility patterns of reaction-diffusion processes in networks

J. Gomez-Gardenes et al.

NATURE PHYSICS (2018)

Article Physics, Multidisciplinary

Suppressing epidemic spreading by risk-averse migration in dynamical networks

Han-Xin Yang et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2018)

Article Mathematics, Interdisciplinary Applications

Suppressing traffic-driven epidemic spreading by adaptive routing strategy

Han-Xin Yang et al.

CHAOS SOLITONS & FRACTALS (2016)

Article Multidisciplinary Sciences

Suppressing disease spreading by using information diffusion on multiplex networks

Wei Wang et al.

SCIENTIFIC REPORTS (2016)

Article Physics, Multidisciplinary

Dynamical Interplay between Awareness and Epidemic Spreading in Multiplex Networks

Clara Granell et al.

PHYSICAL REVIEW LETTERS (2013)

Article Physics, Fluids & Plasmas

Epidemic spreading with information-driven vaccination

Zhongyuan Ruan et al.

PHYSICAL REVIEW E (2012)

Article Physics, Multidisciplinary

Phase transitions in contagion processes mediated by recurrent mobility patterns

Duygu Balcan et al.

NATURE PHYSICS (2011)

Article Physics, Multidisciplinary

Thresholds for Epidemic Spreading in Networks

Claudio Castellano et al.

PHYSICAL REVIEW LETTERS (2010)

Article Multidisciplinary Sciences

The spread of awareness and its impact on epidemic outbreaks

Sebastian Funk et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2009)

Article Physics, Fluids & Plasmas

Epidemic spreading in correlated complex networks -: art. no. 047104

M Boguñá et al.

PHYSICAL REVIEW E (2002)

Article Physics, Multidisciplinary

Epidemic spreading in scale-free networks

R Pastor-Satorras et al.

PHYSICAL REVIEW LETTERS (2001)