Abstract Models of epidemic spreading on complex networks have attracted great attention among researchers in physics, mathematics, and epidemiology due to their success in …
Health misinformation can exacerbate infectious disease outbreaks. Especially pernicious advice could be classified as “fake news”: manufactured with no respect for accuracy and …
H Wang, C Ma, HS Chen, HF Zhang - Applied Mathematics and …, 2021 - Elsevier
There has been growing interest in exploring the coupled epidemic-awareness dynamics within the multiplex network framework. Nevertheless, two important factors are not …
Q Yin, Z Wang, C Xia - Nonlinear Dynamics, 2023 - Springer
The emergence of epidemics has seriously threatened the running of human society, such as COVID-19. During the epidemics, some external factors usually have a non-negligible …
X Hong, Y Han, B Wang - Applied Mathematics and Computation, 2023 - Elsevier
In the situation of insufficient vaccines and rapid mutation of the virus, detection and contact tracing have been argued to be effective interventions in the containment of emergent …
X Zhu, H Tian, X Chen, W Wang, S Cai - New Journal of Physics, 2018 - iopscience.iop.org
Heterogeneity is found widely in populations, eg different individuals have diverse personalities and a different willingness to accept novel ideas or behaviors. Whereas …
W Gou, Z Jin - Infectious Disease Modelling, 2017 - Elsevier
In this paper, an extended heterogeneous SIR model is proposed, which generalizes the heterogeneous mean-field theory. Different from the traditional heterogeneous mean-field …
A Darbon, D Colombi, E Valdano… - Royal Society …, 2019 - royalsocietypublishing.org
The infectious period of a transmissible disease is a key factor for disease spread and persistence. Epidemic models on networks typically assume an identical average infectious …
Background Concern about health misinformation is longstanding, especially on the Internet. Methods Using agent-based models, we considered the effects of such …