Asymptotic behavior of a stochastic SIR model with general incidence rate and nonlinear Lévy jumps [0.03%]
具有一般感染率和非线性Lévy跳的随机SIR模型的渐近行为
Qing Yang,Xinhong Zhang,Daqing Jiang
Qing Yang
In this paper, we consider a stochastic SIR epidemic model with general disease incidence rate and perturbation caused by nonlinear white noise and L e ´ vy jumps. First of all, we study the existence and uniqueness of the global posi...
Stochastic forecasting of COVID-19 daily new cases across countries with a novel hybrid time series model [0.03%]
一种新型混合时间序列模型在多个国家预测每日新增新冠肺炎病例的随机性
Arinjita Bhattacharyya,Tanujit Chakraborty,Shesh N Rai
Arinjita Bhattacharyya
An unprecedented outbreak of the novel coronavirus (COVID-19) in the form of peculiar pneumonia has spread globally since its first case in Wuhan province, China, in December 2019. Soon after, the infected cases and mortality increased rapi...
Analysis of non-pharmaceutical interventions impacts on COVID-19 pandemic in Iran [0.03%]
伊朗非药物干预措施对新冠肺炎疫情的影响分析
Sara Saadatmand,Khodakaram Salimifard,Reza Mohammadi
Sara Saadatmand
The COVID-19 pandemic shows to have a huge impact on people's health and countries' infrastructures around the globe. Iran was one of the first countries that experienced the vast prevalence of the coronavirus outbreak. The Iranian authorit...
Framework for enhancing the estimation of model parameters for data with a high level of uncertainty [0.03%]
一种提高高不确定性数据状态下模型参数估计准确性的方法框架
Gustavo B Libotte,Lucas Dos Anjos,Regina C C Almeida et al.
Gustavo B Libotte et al.
Reliable data are essential to obtain adequate simulations for forecasting the dynamics of epidemics. In this context, several political, economic, and social factors may cause inconsistencies in the reported data, which reflect the capacit...
In memory of Professor José António Tenreiro Machado (1957-2021) [0.03%]
纪念Tenreiro Machado教授(1957-2021)
Carla M A Pinto,António M Lopes,Alexandra M S F Galhano
Carla M A Pinto
Dynamical analysis of coronavirus disease with crowding effect, and vaccination: a study of third strain [0.03%]
考虑人群拥挤效应和疫苗接种的冠状病毒疾病的动力学分析——第三类strain的研究
Ali Raza,Muhammad Rafiq,Jan Awrejcewicz et al.
Ali Raza et al.
Countries affected by the coronavirus epidemic have reported many infected cases and deaths based on world health statistics. The crowding factor, which we named "crowding effects," plays a significant role in spreading the diseases. Howeve...
Collective correlations, dynamics, and behavioural inconsistencies of the cryptocurrency market over time [0.03%]
历时的集体相关性、动力学和加密货币市场的行为不一致性
Nick James,Max Menzies
Nick James
This paper introduces new methods to study behaviours among the 52 largest cryptocurrencies between 01-01-2019 and 30-06-2021. First, we explore evolutionary correlation behaviours and apply a recently proposed turning point algorithm to id...
Reassessment of contact restrictions and testing campaigns against COVID-19 via spatio-temporal modeling [0.03%]
基于时空模型的重新评估接触限制和COVID-19检测活动
Naleen Chaminda Ganegoda,Karunia Putra Wijaya,Joseph Páez Chávez et al.
Naleen Chaminda Ganegoda et al.
Since the earliest outbreak of COVID-19, the disease continues to obstruct life normalcy in many parts of the world. The present work proposes a mathematical framework to improve non-pharmaceutical interventions during the new normal before...
Dynamics and optimal control of a stochastic coronavirus (COVID-19) epidemic model with diffusion [0.03%]
具有扩散的随机冠状病毒（COVID-19）流行病模型的动力学与最优控制
Yuxi Li,Zhouchao Wei
Yuxi Li
In view of the facts in the infection and propagation of COVID-19, a stochastic reaction-diffusion epidemic model is presented to analyse and control this infectious diseases. Stationary distribution and Turing instability of this model are...
Effect of 2021 assembly election in India on COVID-19 transmission [0.03%]
2021年印度集会选举对COVID-19传播的影响
Souvik Manik,Sabyasachi Pal,Manoj Mandal et al.
Souvik Manik et al.
India is one of the countries in the world which is badly affected by the COVID-19 second wave. Assembly election in four states and a union territory of India was taken place during March-May 2021 when the COVID-19 second wave was close to...