Dynamic stability and optimal control of SIS [Formula: see text] I [Formula: see text] RS epidemic network [0.03%]
SIS/SI/RS流行网络的动态稳定性及其最优控制问题
Xinjie Fu,JinRong Wang
Xinjie Fu
We develop a complex network-based SIS q I q RS model, calculate the threshold R 0 of infectious disease transmission and analyze the stability of the model. In the model, three control measures including isolation and vaccination ...
Data-driven approach in a compartmental epidemic model to assess undocumented infections [0.03%]
基于数据的疫情模型评估未记录感染情况的方法
Guilherme S Costa,Wesley Cota,Silvio C Ferreira
Guilherme S Costa
Nowcasting and forecasting of epidemic spreading rely on incidence series of reported cases to derive the fundamental epidemiological parameters for a given pathogen. Two relevant drawbacks for predictions are the unknown fractions of undoc...
Investigation of vaccination game approach in spreading covid-19 epidemic model with considering the birth and death rates [0.03%]
考虑出生率和死亡率的COVID-19传播模型中的疫苗接种博弈方法研究
Gayathri Vivekanandhan,Mahdi Nourian Zavareh,Hayder Natiq et al.
Gayathri Vivekanandhan et al.
In this study, an epidemic model for spreading COVID-19 is presented. This model considers the birth and death rates in the dynamics of spreading COVID-19. The birth and death rates are assumed to be the same, so the population remains cons...
Assessing the impact of SARS-CoV-2 infection on the dynamics of dengue and HIV via fractional derivatives [0.03%]
基于分数阶导数评估SARS-CoV-2感染对登革热和艾滋病动力学的影响
Andrew Omame,Mujahid Abbas,Abdel-Haleem Abdel-Aty
Andrew Omame
A new non-integer order mathematical model for SARS-CoV-2, Dengue and HIV co-dynamics is designed and studied. The impact of SARS-CoV-2 infection on the dynamics of dengue and HIV is analyzed using the tools of fractional calculus. The exis...
Does the "Delta Variant" affect the nonlinear dynamic characteristics of SARS-CoV-2 transmission? [0.03%]
德尔塔变异株对SARS-CoV-2传播的非线性动力学特征有影响吗？
Jian Wang,Mengdie Yang,Lin Lu et al.
Jian Wang et al.
In this paper, we analyzed the difference of nonlinear dynamic characteristics of SARS-CoV-2 transmission caused by 'Delta Variant'. We selected the daily new diagnostic data of SARS-CoV-2 from 15 countries. Four different kinds of complexi...
Control and Anticontrol of chaos in Fractional-order models of Diabetes, HIV, Dengue, Migraine, Parkinson's and Ebola Virus diseases [0.03%]
分数阶糖尿病、艾滋病、登革热、偏头痛、帕金森和埃博拉病毒模型中的混沌控制与反控制
Manashita Borah,Debanita Das,Antara Gayan et al.
Manashita Borah et al.
This work proposes new fractional-order (FO) models of six chaotic diseases whose fractional dynamics have not been studied so far in literature. Secondly, design and analysis of suitable controllers to control chaos where present, and that...
Kirstin Roster,Colm Connaughton,Francisco A Rodrigues
Kirstin Roster
Recent infectious disease outbreaks, such as the COVID-19 pandemic and the Zika epidemic in Brazil, have demonstrated both the importance and difficulty of accurately forecasting novel infectious diseases. When new diseases first emerge, we...
V P Tsvetkov,S A Mikheev,I V Tsvetkov et al.
V P Tsvetkov et al.
To describe the COVID-19 pandemic, we propose to use a mathematical model of multifractal dynamics, which is alternative to other models and free of their shortcomings. It is based on the fractal properties of pandemics only and allows desc...
Vaccination games in prevention of infectious diseases with application to COVID-19 [0.03%]
应用于COVID-19的传染病预防中的疫苗博弈理论
Jingwen Ge,Wendi Wang
Jingwen Ge
Vaccination coverage is crucial for disease prevention and control. An appropriate combination of compulsory vaccination with voluntary vaccination is necessary to achieve the goal of herd immunity for some epidemic diseases such as measles...
Lasko Basnarkov,Igor Tomovski,Trifce Sandev et al.
Lasko Basnarkov et al.
We introduce non-Markovian SIR epidemic spreading model inspired by the characteristics of the COVID-19, by considering discrete- and continuous-time versions. The distributions of infection intensity and recovery period may take an arbitra...