The coevolution of the spread of a disease and competing opinions in multiplex networks [0.03%]
多重网络中传染病传播与竞争性舆论的协同演化
Fanshu Fang,Jing Ma,Yanli Li
Fanshu Fang
The COVID-19 pandemic has resulted in a proliferation of conflicting opinions on physical distancing across various media platforms, which has had a significant impact on human behavior and the transmission dynamics of the disease. Inspired...
Skewed multifractal scaling of stock markets during the COVID-19 pandemic [0.03%]
COVID-19流行期间的股票市场的偏斜多分形标度规律
Foued Saâdaoui
Foued Saâdaoui
This article proposes a new paradigm of asymmetric multifractality in financial time series, where the scaling feature varies over two adjacent intervals. The proposed approach first locates a change-point and then performs a multifractal d...
Coupled disease-vaccination behavior dynamic analysis and its application in COVID-19 pandemic [0.03%]
耦合的疾病-疫苗接种行为动力学分析及其在新冠肺炎疫情中的应用研究
Xueyu Meng,Jianhong Lin,Yufei Fan et al.
Xueyu Meng et al.
Predicting the evolutionary dynamics of the COVID-19 pandemic is a complex challenge. The complexity increases when the vaccination process dynamic is also considered. In addition, when applying a voluntary vaccination policy, the simultane...
Complex network analysis of arboviruses in the same geographic domain: Differences and similarities [0.03%]
同一地理域中的虫媒病毒复杂网络分析：差异与相似性
Eslaine S Santos,José G V Miranda,Hugo Saba et al.
Eslaine S Santos et al.
Arbovirus can cause diseases with a broad spectrum from mild to severe and long-lasting symptoms, affecting humans worldwide and therefore considered a public health problem with global and diverse socio-economic impacts. Understanding how ...
The impact of the self-recognition ability and physical quality on coupled negative information-behavior-epidemic dynamics in multiplex networks [0.03%]
自认识能力和物理质量对多层网络中耦合负反馈信息-行为-流行病动力学的影响研究
Liang&#x;an Huo,Yue Yu
Liang&#x;an Huo
In recent years, as the COVID-19 global pandemic evolves, many unprecedented new patterns of epidemic transmission continue to emerge. Reducing the impact of negative information diffusion, calling for individuals to adopt immunization beha...
Stationary distribution and probability density for a stochastic SEIR-type model of coronavirus (COVID-19) with asymptomatic carriers [0.03%]
具有无症状感染者的一个新型冠状病毒(COVID-19)的随机SEIR模型的平稳分布和概率密度
Qun Liu,Daqing Jiang
Qun Liu
In this paper, we propose a stochastic SEIR-type model with asymptomatic carriers to describe the propagation mechanism of coronavirus (COVID-19) in the population. Firstly, we show that there exists a unique global positive solution of the...
Competition of SARS-CoV-2 variants on the pandemic transmission dynamics [0.03%]
SARS-CoV-2变异株与大流行传播动力学的竞争关系分析
Jiaqi Chen,Changgui Gu,Zhongyuan Ruan et al.
Jiaqi Chen et al.
SARS-CoV-2 has produced various variants during its ongoing evolution. The competitive behavior driven by the co-transmission of these variants has influenced the pandemic transmission dynamics. Therefore, studying the impact of competition...
Jian Wang,Wenjing Jiang,Xinpei Wu et al.
Jian Wang et al.
In this paper, we investigate the effectiveness of COVID-19 vaccination in controlling the infectivity and mortality of the SARS-CoV-2. Two major variants Delta and Omicron are investigated respectively. The main method used in the research...
G Bel,B S Alexandrov,A R Bishop et al.
G Bel et al.
Nonlinear isolated and coupled oscillators are extensively studied as prototypical nonlinear dynamics models. Much attention has been devoted to oscillator synchronization or the lack thereof. Here, we study the synchronization and stabilit...
Peipei Wang,Haiyan Liu,Xinqi Zheng et al.
Peipei Wang et al.
COVID-19 is the most serious public health event of the 21st century and has had a huge impact across the world. The spatio-temporal pattern analysis and simulation of epidemic spread have become the focus of current research. LSTM model ha...