A fractional-order SEIHDR model for COVID-19 with inter-city networked coupling effects [0.03%]
具有城市间网络耦合效应的COVID-19 分数阶SEIHDR模型
Zhenzhen Lu,Yongguang Yu,YangQuan Chen et al.
Zhenzhen Lu et al.
In the end of 2019, a new type of coronavirus first appeared in Wuhan. Through the real-data of COVID-19 from January 23 to March 18, 2020, this paper proposes a fractional SEIHDR model based on the coupling effect of inter-city networks. A...
Using traveller-derived cases in Henan Province to quantify the spread of COVID-19 in Wuhan, China [0.03%]
利用河南省的输入病例量化中国武汉的COVID-19传播情况
Haitao Song,Feng Li,Zhongwei Jia et al.
Haitao Song et al.
Wuhan shutdown was implemented on January 23 and the first level response to public health emergencies (FLRPHE) was launched over the country, and then China got the outbreak of COVID-19 under control. A mathematical model is established to...
Threshold dynamics of a time-delayed epidemic model for continuous imperfect-vaccine with a generalized nonmonotone incidence rate [0.03%]
具有广义非单调发生率的连续性不完美疫苗时间延迟传染病模型的阈动态特性分析
Isam Al-Darabsah
Isam Al-Darabsah
In this paper, we study the dynamics of an infectious disease in the presence of a continuous-imperfect vaccine and latent period. We consider a general incidence rate function with a non-monotonicity property to interpret the psychological...
Nonlinear dynamic analysis of an epidemiological model for COVID-19 including public behavior and government action [0.03%]
包含公众行为和政府行动的COVID-19传染病模型的非线性动力学分析
C A K Kwuimy,Foad Nazari,Xun Jiao et al.
C A K Kwuimy et al.
This paper is concerned with nonlinear modeling and analysis of the COVID-19 pandemic currently ravaging the planet. There are two objectives: to arrive at an appropriate model that captures the collected data faithfully and to use that as ...
Zishuo Yan,Yueheng Lan
Zishuo Yan
In this paper, we construct a stochastic model of the 2019-nCoV transmission in a confined space, which gives a detailed account of the interaction between the spreading virus and mobile individuals. Different aspects of the interaction at ...
Complete dimensional collapse in the continuum limit of a delayed SEIQR network model with separable distributed infectivity [0.03%]
具有可分离分布传染率的延迟SEIQR网络模型连续极限下的完全维数塌缩
C P Vyasarayani,Anindya Chatterjee
C P Vyasarayani
We take up a recently proposed compartmental SEIQR model with delays, ignore loss of immunity in the context of a fast pandemic, extend the model to a network structured on infectivity and consider the continuum limit of the same with a sim...
Computational analysis of the SARS-CoV-2 and other viruses based on the Kolmogorov's complexity and Shannon's information theories [0.03%]
基于Kolmogorov复杂度和Shannon信息理论的SARS-CoV-2及其他病毒的计算分析
J A Tenreiro Machado,João M Rocha-Neves,José P Andrade
J A Tenreiro Machado
This paper tackles the information of 133 RNA viruses available in public databases under the light of several mathematical and computational tools. First, the formal concepts of distance metrics, Kolmogorov complexity and Shannon informati...
Nonlinear dynamics of a time-delayed epidemic model with two explicit aware classes, saturated incidences, and treatment [0.03%]
具有两个明确的意识类、饱和感染和治疗的时滞传染病模型的非线性动力学
Kanica Goel,Abhishek Kumar,Nilam
Kanica Goel
Whenever a disease emerges, awareness in susceptibles prompts them to take preventive measures, which influence individuals' behaviors. Therefore, we present and analyze a time-delayed epidemic model in which class of susceptible individual...
Investigating time, strength, and duration of measures in controlling the spread of COVID-19 using a networked meta-population model [0.03%]
使用网络元种群模型研究时间、强度和持续时间措施在控制COVID-19传播中的作用
Jiang Zhang,Lei Dong,Yanbo Zhang et al.
Jiang Zhang et al.
Policy makers around the world are facing unprecedented challenges in making decisions on when and what degrees of measures should be implemented to tackle the COVID-19 pandemic. Here, using a nationwide mobile phone dataset, we developed a...
Are official confirmed cases and fatalities counts good enough to study the COVID-19 pandemic dynamics? A critical assessment through the case of Italy [0.03%]
官方确认的病例和死亡人数统计是否足以研究COVID-19大流行的动态？通过对意大利案例的关键评估
Krzysztof Bartoszek,Emanuele Guidotti,Stefano Maria Iacus et al.
Krzysztof Bartoszek et al.
As the COVID-19 outbreak is developing the two most frequently reported statistics seem to be the raw confirmed case and case fatalities counts. Focusing on Italy, one of the hardest hit countries, we look at how these two values could be p...