Impact of optimal vaccination and social distancing on COVID-19 pandemic [0.03%]
最优疫苗接种和社交距离限制对新冠肺炎大流行的影响
Sangeeta Saha,Guruprasad Samanta,Juan J Nieto
Sangeeta Saha
The first COVID-19 case was reported at Wuhan in China at the end of December 2019 but till today the virus has caused millions of deaths worldwide. Governments of each country, observing the severity, took non-pharmaceutical interventions ...
A co-infection model on TB - COVID-19 with optimal control and sensitivity analysis [0.03%]
基于最优控制和灵敏度分析的TB-COVID-19共感染模型
Shraddha Ramdas Bandekar,Mini Ghosh
Shraddha Ramdas Bandekar
COVID-19 had been declared a public health emergency by the World Health Organization in the early 2020. Since then, this deadly virus has claimed millions of lives worldwide. Amidst its chaotic spread, several other diseases have faced neg...
SEIR model with unreported infected population and dynamic parameters for the spread of COVID-19 [0.03%]
具有未报告的感染人口和动态参数的COVID-19传播SEIR模型
Ziren Chen,Lin Feng,Harold A Lay Jr et al.
Ziren Chen et al.
Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that can be transmitted through human interaction. In this paper, we present a Piecewise Susceptible-Exposed-...
Maximal reproduction number estimation and identification of transmission rate from the first inflection point of new infectious cases waves: COVID-19 outbreak example [0.03%]
最大繁殖数估计及传播率识别：利用新发感染病例波峰的首次拐点的案例分析（以COVID-19为例）
J Waku,K Oshinubi,J Demongeot
J Waku
The dynamics of COVID-19 pandemic varies across countries and it is important for researchers to study different kind of phenomena observed at different stages of the waves during the epidemic period. Our interest in this paper is not to ...
Mathematical analysis of an extended SEIR model of COVID-19 using the ABC-fractional operator [0.03%]
基于ABC分数阶算子的COVID-19扩展SEIR模型的数学分析
Wutiphol Sintunavarat,Ali Turab
Wutiphol Sintunavarat
This paper aims to suggest a time-fractional S P E P I P A I P S P H P R P model of the COVID-19 pandemic disease in the sense of the Atangana-Baleanu-Caputo operator. The proposed model consists of six compartments: suscepti...
On the evolution of the COVID-19 epidemiological parameters using only the series of deceased. A study of the Spanish outbreak using Genetic Algorithms [0.03%]
基于遗传算法，仅利用死亡序列研究西班牙新冠肺炎疫情参数的演变
Eduardo Acosta-González,Julián Andrada-Félix,Fernando Fernández-Rodríguez
Eduardo Acosta-González
We propose a methodology for estimating the evolution of the epidemiological parameters of a SIRD model (acronym of Susceptible, Infected, Recovered and Deceased individuals) which allows to evaluate the sanitary measures taken by the gover...
Jayanta Kumar Ghosh,Sudhanshu Kumar Biswas,Susmita Sarkar et al.
Jayanta Kumar Ghosh et al.
This manuscript describes a mathematical epidemiological model of COVID-19 to investigate the dynamics of this pandemic disease and we have fitted this model to the current COVID-19 cases in Italy. We have obtained the basic reproduction nu...
Forecasting COVID-19 Chile' second outbreak by a generalized SIR model with constant time delays and a fitted positivity rate [0.03%]
广义SIR模型对智利第二波COVID-19的预测(含常时间延迟和拟合阳性率)
Patricio Cumsille,Óscar Rojas-Díaz,Pablo Moisset de Espanés et al.
Patricio Cumsille et al.
The COVID-19 disease has forced countries to make a considerable collaborative effort between scientists and governments to provide indicators to suitable follow-up the pandemic's consequences. Mathematical modeling plays a crucial role in ...
Discrete and continuum models of COVID-19 virus, formal solutions, stability and comparison with real data [0.03%]
新冠病毒的离散和连续模型、形式解、稳定性以及与真实数据的比较
Hamdy I Abdel-Gawad,Ahmed H Abdel-Gawad
Hamdy I Abdel-Gawad
Very recently, various mathematical models, for the dynamics of COVID-19 with main contribution of suspected-exposed-infected-recovered people have been proposed. Some models that account for the deceased, quarantined or social distancing f...
Using a genetic algorithm to fit parameters of a COVID-19 SEIR model for US states [0.03%]
使用遗传算法拟合COVID-19 SEIR模型的美国各州参数
P Yarsky
P Yarsky
Background: A Susceptible-Exposed-Infected-Removed (SEIR) model was developed to forecast the spread of the novel coronavirus (SARS-CoV-2) in the United States and the implications of re-opening and hospital resource ut...