Bo Yang,Zhenhua Yu,Yuanli Cai
Bo Yang
In the absence of specific drugs and vaccines, the best way to control the spread of COVID-19 is to adopt and diligently implement effective and strict anti-epidemic measures. In this paper, a mathematical spread model is proposed based on ...
Stability analysis of a nonlocal SIHRDP epidemic model with memory effects [0.03%]
具备记忆效应的非局部SIHRDP流行病模型的稳定性分析
Zhenzhen Lu,Yongguang Yu,YangQuan Chen et al.
Zhenzhen Lu et al.
The prediction and control of COVID-19 is critical for ending this pandemic. In this paper, a nonlocal SIHRDP (S-susceptible class, I-infective class (infected but not hospitalized), H-hospitalized class, R-recovered class, D-death class an...
Intensive care unit occupancy predictions in the COVID-19 pandemic based on age-structured modelling and differential flatness [0.03%]
基于结构化建模和微分平坦性的新冠大流行重症监护病房占用预测
Christoph Hametner,Lukas Böhler,Martin Kozek et al.
Christoph Hametner et al.
The COVID-19 pandemic confronts governments and their health systems with great challenges for disease management. In many countries, hospitalization and in particular ICU occupancy is the primary measure for policy makers to decide on poss...
Mathematical modeling and optimal intervention strategies of the COVID-19 outbreak [0.03%]
COVID-19暴发的数学模型与最优干预策略分析
Jayanta Mondal,Subhas Khajanchi
Jayanta Mondal
34,354,966 active cases and 460,787 deaths because of COVID-19 pandemic were recorded on November 06, 2021, in India. To end this ongoing global COVID-19 pandemic, there is an urgent need to implement multiple population-wide policies like ...
Guaranteed cost positive consensus for multi-agent systems with multiple time-varying delays and MDADT switching [0.03%]
具多重时变时滞和MDADT切换的多智能体系统的有界成本正一致性问题
Xiangyang Cao,Chenghui Zhang,Daduan Zhao et al.
Xiangyang Cao et al.
This paper investigates the guaranteed cost positive consensus for linear multi-agent systems (MASs) with multiple time-varying delays and switching topologies. First, necessary and sufficient conditions for the positivity of the focused sy...
Assessing the potential impact of immunity waning on the dynamics of COVID-19 in South Africa: an endemic model of COVID-19 [0.03%]
评估免疫衰减对南非新冠肺炎疫情潜在影响的传染动态建模研究
Musa Rabiu,Sarafa A Iyaniwura
Musa Rabiu
We developed an endemic model of COVID-19 to assess the impact of vaccination and immunity waning on the dynamics of the disease. Our model exhibits the phenomenon of backward bifurcation and bi-stability, where a stable disease-free equili...
Preface to the special issue NODYCON 2021, Second International Nonlinear Dynamics Conference, Feb. 16-19, 2021 [0.03%]
第二届国际非线性动力学会议(NODYCON 2021)特刊前言
Muhammad Hajj,Li-Qun Chen,YangQuan Chen et al.
Muhammad Hajj et al.
Geospatial model of COVID-19 spreading and vaccination with event Gillespie algorithm [0.03%]
基于事件的哥尔菲斯算法的Covid-19传播与疫苗接种地理空间模型
Alexander Temerev,Liudmila Rozanova,Olivia Keiser et al.
Alexander Temerev et al.
We have developed a mathematical model and stochastic numerical simulation for the transmission of COVID-19 and other similar infectious diseases that accounts for the geographic distribution of population density, detailed down to the leve...
Fractional-order delayed Ross-Macdonald model for malaria transmission [0.03%]
带有延迟的疟疾传播分数阶秩序ROSS-MACDONALD模型
Xinshu Cui,Dingyu Xue,Tingxue Li
Xinshu Cui
This paper proposes a novel fractional-order delayed Ross-Macdonald model for malaria transmission. This paper aims to systematically investigate the effect of both the incubation periods of Plasmodium and the order on the dynamic behavior ...
Estimating the state of epidemics spreading with graph neural networks [0.03%]
基于图神经网络的流行病传播态势估计方法研究
Abhishek Tomy,Matteo Razzanelli,Francesco Di Lauro et al.
Abhishek Tomy et al.
When an epidemic spreads into a population, it is often impractical or impossible to continuously monitor all subjects involved. As an alternative, we propose using algorithmic solutions that can infer the state of the whole population from...