Are population size and diverse climatic conditions the driving factors for next COVID-19 pandemic epicenter in India? [0.03%]
人口规模和多样的气候条件是下一波COVID-19大流行中心发生在印度的主要驱动因素吗？
Palas Samanta,Sukhendu Dey,Apurba Ratan Ghosh
Palas Samanta
Although a nationwide lockdown was imposed in India amid COVID-19 outbreak since March 24, 2020, the COVID-19 infection is increasing day-by-day. Till June 10, 2021 India has recorded 29,182,072 COVID cases and 359,695 deaths. A number of f...
An analytical study of the dynamic behavior of Lotka-Volterra based models of COVID-19 [0.03%]
基于洛特卡-沃尔泰拉的COVID-19模型的动力学行为分析
Wael W Mohammed,E S Aly,A E Matouk et al.
Wael W Mohammed et al.
COVID-19 has become a world wide pandemic since its first appearance at the end of the year 2019. Although some vaccines have already been announced, a new mutant version has been reported in UK. We certainly should be more careful and make...
Mohammed N Alenezi,Fawaz S Al-Anzi,Haneen Alabdulrazzaq et al.
Mohammed N Alenezi et al.
Today, the world is fighting against a dangerous epidemic caused by the novel coronavirus, also known as COVID-19. All have been impacted and countries are trying to recover from the social, economic, and health devastations of COVID-19. Re...
Socio-demographic and health factors drive the epidemic progression and should guide vaccination strategies for best COVID-19 containment [0.03%]
社会人口和健康因素驱动了疫情的进展，应引导疫苗接种策略以实现最佳的新冠肺炎疫情控制措施
Rene Markovič,Marko Šterk,Marko Marhl et al.
Rene Markovič et al.
We propose and study an epidemiological model on a social network that takes into account heterogeneity of the population and different vaccination strategies. In particular, we study how the COVID-19 epidemics evolves and how it is contain...
Steady state Kalman filter design for cases and deaths prediction of Covid-19 in Greece [0.03%]
希腊Covid-19病例和死亡情况的稳态卡尔曼滤波器设计预测模型研究
N Assimakis,M Adam,A Ktena et al.
N Assimakis et al.
In this work we study the applicability of the steady state Kalman filter in order to predict new cases and deaths of Covid-19. We use the actual observations of new cases and deaths. First, we deal with short term prediction, namely daily ...
Shahriar Seddighi Chaharborj,Sarkhosh Seddighi Chaharborj,Jalal Hassanzadeh Asl et al.
Shahriar Seddighi Chaharborj et al.
In 2019, a new infectious disease called pandemic COVID-19 began to spread from Wuhan, China. In spite of the efforts to stop the disease, being out of the control of the governments it spread rapidly all over the world. From then on, much ...
Time-variant reliability-based prediction of COVID-19 spread using extended SEIVR model and Monte Carlo sampling [0.03%]
基于时间变化的COVID-19传播预测采用扩展SEIVR模型和蒙特卡洛采样进行可靠性分析
Mahdi Shadabfar,Mojtaba Mahsuli,Arash Sioofy Khoojine et al.
Mahdi Shadabfar et al.
A probabilistic method is proposed in this study to predict the spreading profile of the coronavirus disease 2019 (COVID-19) in the United State (US) via time-variant reliability analysis. To this end, an extended susceptible-exposed-infect...
Stability analysis and simulation of the novel Corornavirus mathematical model via the Caputo fractional-order derivative: A case study of Algeria [0.03%]
基于Caputo分数阶导数的新型冠状病毒数学模型稳定性分析及仿真——以阿尔及利亚为例研究
Yacine El Hadj Moussa,Ahmed Boudaoui,Saif Ullah et al.
Yacine El Hadj Moussa et al.
The novel coronavirus infectious disease (or COVID-19) almost spread widely around the world and causes a huge panic in the human population. To explore the complex dynamics of this novel infection, several mathematical epidemic models have...
SARS-CoV-2 infection with lytic and non-lytic immune responses: A fractional order optimal control theoretical study [0.03%]
SARS-CoV-2感染的裂解和非裂解免疫反应：分数阶最优控制理论研究
Amar Nath Chatterjee,Fahad Al Basir,Muqrin A Almuqrin et al.
Amar Nath Chatterjee et al.
In this research article, we establish a fractional-order mathematical model to explore the infections of the coronavirus disease (COVID-19) caused by the novel SARS-CoV-2 virus. We introduce a set of fractional differential equations takin...
A novel fractional mathematical model of COVID-19 epidemic considering quarantine and latent time [0.03%]
考虑隔离和潜伏期的COVID-19流行病新型分数阶数学模型
Prashant Pandey,Yu-Ming Chu,J F Gómez-Aguilar et al.
Prashant Pandey et al.
In this paper, we investigate the fractional epidemic mathematical model and dynamics of COVID-19. The Wuhan city of China is considered as the origin of the corona virus. The novel corona virus is continuously spread its range of effective...