Related references
Note: Only part of the references are listed.Modeling the COVID-19 epidemic and awareness diffusion on multiplex networks
Le He et al.
COMMUNICATIONS IN THEORETICAL PHYSICS (2021)
A New Coupled Awareness-Epidemic Spreading Model with Neighbor Behavior on Multiplex Networks
Chao Zuo et al.
COMPLEXITY (2021)
Impact of presymptomatic transmission on epidemic spreading in contact networks: A dynamic message-passing analysis
Bo Li et al.
PHYSICAL REVIEW E (2021)
Anomalous role of information diffusion in epidemic spreading
Xiaochen Wang et al.
PHYSICAL REVIEW RESEARCH (2021)
Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions
Biao Tang et al.
JOURNAL OF CLINICAL MEDICINE (2020)
Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation
Viroj Tangcharoensathien et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2020)
Stability analysis and numerical simulation of SEIR model for pandemic COVID-19 spread in Indonesia
Suwardi Annas et al.
CHAOS SOLITONS & FRACTALS (2020)
SEIR modeling of the COVID-19 and its dynamics
Shaobo He et al.
NONLINEAR DYNAMICS (2020)
Dynamics of Epidemic Spreading in the Group-Based Multilayer Networks
Dong Wang et al.
MATHEMATICS (2020)
Effects of asymptomatic infection on the dynamical interplay between behavior and disease transmission in multiplex networks
Tianyu Shi et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)
A new coupled disease-awareness spreading model with mass media on multiplex networks
Chengyi Xia et al.
INFORMATION SCIENCES (2019)
Interplay between SIR-based disease spreading and awareness diffusion on multiplex networks
Chunyuan Zheng et al.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2018)
The impact of multiple information on coupled awareness-epidemic dynamics in multiplex networks
Yaohui Pan et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2018)
A fractional order epidemic model for the simulation of outbreaks of influenza A(H1N1)
Gilberto Gonzalez-Parra et al.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES (2014)
Epidemic spreading and risk perception in multiplex networks: A self-organized percolation method
Emanuele Massaro et al.
PHYSICAL REVIEW E (2014)
Competing spreading processes on multiplex networks: Awareness and epidemics
Clara Granell et al.
PHYSICAL REVIEW E (2014)
The structure and dynamics of multilayer networks
S. Boccaletti et al.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS (2014)
Multilayer networks
Mikko Kivela et al.
JOURNAL OF COMPLEX NETWORKS (2014)
Extension and verification of the SEIR model on the 2009 influenza A (H1N1) pandemic in Japan
Masaya M. Saito et al.
MATHEMATICAL BIOSCIENCES (2013)
Dynamical Interplay between Awareness and Epidemic Spreading in Multiplex Networks
Clara Granell et al.
PHYSICAL REVIEW LETTERS (2013)
Networks formed from interdependent networks
Jianxi Gao et al.
NATURE PHYSICS (2012)
Nonperturbative heterogeneous mean-field approach to epidemic spreading in complex networks
Sergio Gomez et al.
PHYSICAL REVIEW E (2011)
Rumor spreading in social networks
Flavio Chierichetti et al.
THEORETICAL COMPUTER SCIENCE (2011)
Discrete-time Markov chain approach to contact-based disease spreading in complex networks
S. Gomez et al.
EPL (2010)
Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
Peter J. Mucha et al.
SCIENCE (2010)
Virus Spread in Networks
Piet Van Mieghem et al.
IEEE-ACM TRANSACTIONS ON NETWORKING (2009)
Small world and scale free model of transmission of SARS
M Small et al.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS (2005)
Share Paper
