Understanding COVID-19 nonlinear multi-scale dynamic spreading in Italy [0.03%]
理解意大利非线性多尺度动态传播的COVID-19
Giuseppe Quaranta,Giovanni Formica,J Tenreiro Machado et al.
Giuseppe Quaranta et al.
The outbreak of COVID-19 in Italy took place in Lombardia, a densely populated and highly industrialized northern region, and spread across the northern and central part of Italy according to quite different temporal and spatial patterns. I...
Nonlinear dynamics of COVID-19 pandemic: modeling, control, and future perspectives [0.03%]
COVID-19大流行的非线性动力学：建模、控制和未来展望
J A Tenreiro Machado,Jun Ma
J A Tenreiro Machado
Effects of control measures on the dynamics of COVID-19 and double-peak behavior in Spain [0.03%]
控制措施对西班牙新冠肺炎动态及双峰行为的影响
Jianzhe Huang,Guoyuan Qi
Jianzhe Huang
The COVID-19 disease significantly has threatened the human lives and economy. It is a dynamic system with transmission and control as factors. Modeling the dynamics of the spread of COVID-19 based on the reported data can predict the growi...
Epidemic model of COVID-19 outbreak by inducing behavioural response in population [0.03%]
通过诱导人口行为反应的COVID-19爆发流行病模型
Sangeeta Saha,G P Samanta,Juan J Nieto
Sangeeta Saha
COVID-19 has spread around the world since December 2019, creating one of the greatest pandemics ever witnessed. According to the current reports, this is a situation when people need to be more careful and take the precaution measures more...
Bi-stability of SUDR+K model of epidemics and test kits applied to COVID-19 [0.03%]
SUDR+K模型的双稳定性及检测套件在COVID-19中的应用
Vinko Zlatić,Irena Barjašić,Andrea Kadović et al.
Vinko Zlatić et al.
Motivated by the many diverse responses of different countries to the COVID-19 emergency, here we develop a toy model of the dependence of the epidemics spreading on the availability of tests for disease. Our model, that we call SUDR+K, gro...
Generalized logistic growth modeling of the COVID-19 outbreak: comparing the dynamics in the 29 provinces in China and in the rest of the world [0.03%]
COVID-19爆发的广义逻辑增长模型：比较中国29个省和世界其他地区动态变化
Ke Wu,Didier Darcet,Qian Wang et al.
Ke Wu et al.
Started in Wuhan, China, the COVID-19 has been spreading all over the world. We calibrate the logistic growth model, the generalized logistic growth model, the generalized Richards model and the generalized growth model to the reported numb...
Spread mechanism and control strategy of social network rumors under the influence of COVID-19 [0.03%]
疫情背景下社会网络谣言的扩散机制及控制策略
Hongwen Hui,Chengcheng Zhou,Xing Lü et al.
Hongwen Hui et al.
Since the outbreak of coronavirus disease in 2019 (COVID-19), the disease has rapidly spread to the world, and the cumulative number of cases is now more than 2.3 million. We aim to study the spread mechanism of rumors on social network pla...
The COVID-19 pandemic: model-based evaluation of non-pharmaceutical interventions and prognoses [0.03%]
2019冠状病毒病疫情：以模型为基础评估非药物干预和预后情况
Alex De Visscher
Alex De Visscher
An epidemiological model for COVID-19 was developed and implemented in MATLAB/GNU Octave for use by public health practitioners, policy makers, and the general public. The model distinguishes four stages in the disease: infected, sick, seri...
Assessing the effect of containment measures on the spatio-temporal dynamic of COVID-19 in Italy [0.03%]
评估控制措施对意大利COVID-19时空动态的影响
Maria Michela Dickson,Giuseppe Espa,Diego Giuliani et al.
Maria Michela Dickson et al.
This paper aims at investigating empirically whether and to what extent the containment measures adopted in Italy had an impact in reducing the diffusion of the COVID-19 disease across provinces. For this purpose, we extend the multivariate...
COVID-19: data-driven dynamics, statistical and distributed delay models, and observations [0.03%]
COVID-19：基于数据的动态、统计与分布延迟模型及观察
Xianbo Liu,Xie Zheng,Balakumar Balachandran
Xianbo Liu
COVID-19 was declared as a pandemic by the World Health Organization on March 11, 2020. Here, the dynamics of this epidemic is studied by using a generalized logistic function model and extended compartmental models with and without delays....