Data analysis and prediction of the COVID-19 outbreak in the first and second waves for top 5 affected countries in the world [0.03%]
全球疫情最严重的五个国家的新冠第一和第二波疫情的数据分析与预测
Ashabul Hoque,Abdul Malek,K M Rukhsad Asif Zaman
Ashabul Hoque
In this paper, we introduce a SEIATR compartmental model to analyze and predict the COVID-19 outbreak in the Top 5 affected countries in the world, namely the USA, India, Brazil, France, and Russia. The officially confirmed cases and death ...
A linear dynamical perspective on epidemiology: interplay between early COVID-19 outbreak and human mobility [0.03%]
从线性动力学角度研究流行病学：早期新冠肺炎疫情与人类出行模式之间的相互作用
Shakib Mustavee,Shaurya Agarwal,Chinwendu Enyioha et al.
Shakib Mustavee et al.
This paper investigates the impact of human activity and mobility (HAM) in the spreading dynamics of an epidemic. Specifically, it explores the interconnections between HAM and its effect on the early spread of the COVID-19 virus. During th...
Study of COVID-19 epidemiological evolution in India with a multi-wave SIR model [0.03%]
印度COVID-19流行病学演变的多波SIR模型研究
Kalpita Ghosh,Asim Kumar Ghosh
Kalpita Ghosh
The global pandemic due to the outbreak of COVID-19 ravages the whole world for more than two years in which all the countries are suffering a lot since December 2019. In this article characteristics of a multi-wave SIR model have been stud...
Steady-state statistics, emergent patterns and intermittent energy transfer in a ring of oscillators [0.03%]
一组振子的稳态统计、涌现模式和间歇能量转移
Tiemo Pedergnana,Nicolas Noiray
Tiemo Pedergnana
Networks of coupled nonlinear oscillators model a broad class of physical, chemical and biological systems. Understanding emergent patterns in such networks is an ongoing effort with profound implications for different fields. In this work,...
Impact of saturated treatments on HIV-TB dual epidemic as a consequence of COVID-19: optimal control with awareness and treatment [0.03%]
饱和治疗对新冠疫情下HIV-TB双重流行的影响：具有意识和治疗的最优控制
Madhuri Majumder,Pankaj Kumar Tiwari,Samares Pal
Madhuri Majumder
In this study, we propose an HIV-TB co-infection model by considering the treatment provision limitation induced by recent COVID-19 pandemic that impacts this dual epidemic immensely, assimilating the significance of educational attempts. W...
Dynamical analysis of the infection status in diverse communities due to COVID-19 using a modified SIR model [0.03%]
使用改进的SIR模型分析COVID-19对不同社区感染状况的动力学影响
Ian Cooper,Argha Mondal,Chris G Antonopoulos et al.
Ian Cooper et al.
In this article, we model and study the spread of COVID-19 in Germany, Japan, India and highly impacted states in India, i.e., in Delhi, Maharashtra, West Bengal, Kerala and Karnataka. We consider recorded data published in Worldometers and...
Multiple epidemic waves as the outcome of stochastic SIR epidemics with behavioral responses: a hybrid modeling approach [0.03%]
行为反应在随机SIR传染病模型中的多波流行：一种混合建模方法研究
Magdalena Ochab,Piero Manfredi,Krzysztof Puszynski et al.
Magdalena Ochab et al.
In the behavioral epidemiology (BE) of infectious diseases, little theoretical effort seems to have been devoted to understand the possible effects of individuals' behavioral responses during an epidemic outbreak in small populations. To fi...
Two strains and drug adherence: An HIV model in the paradigm of community transmission [0.03%]
两种毒株和药物依从性：社区传播范式下的HIV模型
Ashish Poonia,Siddhartha P Chakrabarty
Ashish Poonia
A two-strain model, comprising of drug-sensitive and drug-resistant strains, is proposed for the dynamics of Human Immunodeficiency Virus (HIV) spread in a community. A treatment model is introduced by taking drug adherence into account. Th...
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...