• Publications
  • Influence
Reactive school closure weakens the network of social interactions and reduces the spread of influenza
Significance The effectiveness of school-closure policies to mitigate seasonal and pandemic influenza is controversial, mostly because of the lack of empirical evidence about the behavior of theExpand
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Inferring high-resolution human mixing patterns for disease modeling
Mathematical and computational modeling approaches are increasingly used as quantitative tools in the analysis and forecasting of infectious disease epidemics. The growing need for realism inExpand
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Impacts of Opinion Leaders on Social Contagions
TLDR
Opinion leaders are ubiquitous in both online and offline social networks, but the impacts of opinion leaders on social behavior contagions are still not fully understood, especially by using a mathematical model. Expand
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Measurability of the epidemic reproduction number in data-driven contact networks
TLDR
We show that, for epidemics spreading on realistic contact networks, it is not possible to define a steady exponential growth phase and a basic reproduction number in real-world situations. Expand
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Suppressing disease spreading by using information diffusion on multiplex networks
TLDR
We investigate the coevolution mechanisms and dynamics between information and disease spreading by utilizing real data and a proposed spreading model on multiplex network. Expand
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Coevolution spreading in complex networks
TLDR
Abstract The propagations of diseases, behaviors and information in real systems are rarely independent of each other, but they are coevolving with strong interactions. Expand
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Impacts of complex behavioral responses on asymmetric interacting spreading dynamics in multiplex networks
TLDR
Information diffusion and disease spreading in communication-contact layered network are typically asymmetrically coupled with each other, in which disease spreading can be significantly affected by the way an individual being aware of disease responds to the disease. Expand
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Predicting the epidemic threshold of the susceptible-infected-recovered model
TLDR
Researchers have developed several theoretical methods for predicting epidemic thresholds, including the mean-field like (MFL) method, the QMF method, and the dynamical message passing (DMP) method. Expand
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Explosive spreading on complex networks: the role of synergy
TLDR
We articulate a model to incorporate local synergistic effect into the classical susceptible-infected-susceptible process, in which the probability for a susceptible node to become infected through an infected neighbor is enhanced when the neighborhood of the latter contains a number of infected nodes. Expand
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[Epidemiology, Treatment, and Epidemic Prevention and Control of the Coronavirus Disease 2019: a Review].
This review summarizes the ongoing researches regarding etiology, epidemiology, transmission dynamics, treatment, and prevention and control strategies of the coronavirus disease 2019 (COVID-19)Expand
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