Carlos G Aguilar-Madera,Gilberto Espinosa-Paredes,E C Herrera-Hernández et al.
Carlos G Aguilar-Madera et al.
In this work, we analyze the spreading of Covid-19 in Mexico using the spatial SEIRD epidemiologic model. We use the information of the 32 regions (States) that conform the country, such as population density, verified infected cases, and d...
Different variants of pandemic and prevention strategies: A prioritizing framework in fuzzy environment [0.03%]
新冠疫情的不同变种及预防策略：模糊环境下的优先级框架
Oyoon Abdul Razzaq,Muhammad Fahad,Najeeb Alam Khan
Oyoon Abdul Razzaq
In this trying time for the world battling different variants of the COVID'19 pandemic, different intervention strategies are being taken by government, to limit the spread of infection. Closing educational institutes, stay at home orders, ...
Haneen Alabdulrazzaq,Mohammed N Alenezi,Yasmeen Rawajfih et al.
Haneen Alabdulrazzaq et al.
COVID-19 was declared a global pandemic by the World Health Organization in March 2020, and has infected more than 4 million people worldwide with over 300,000 deaths by early May 2020. Many researchers around the world incorporated various...
Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods [0.03%]
基于深度学习方法的新冠肺炎新确诊病例和死亡率的时间序列预测模型研究
Nooshin Ayoobi,Danial Sharifrazi,Roohallah Alizadehsani et al.
Nooshin Ayoobi et al.
The first known case of Coronavirus disease 2019 (COVID-19) was identified in December 2019. It has spread worldwide, leading to an ongoing pandemic, imposed restrictions and costs to many countries. Predicting the number of new cases and d...
Estimation of the main conditions in (SARS-CoV-2) Covid-19 patients that increase the risk of death using Machine learning, the case of Mexico [0.03%]
利用机器学习估算墨西哥新冠肺炎(COVID-19)患者的主要危险因素及死亡率条件的研究
José A Guzmán-Torres,Elia M Alonso-Guzmán,Francisco J Domínguez-Mota et al.
José A Guzmán-Torres et al.
Nowadays, society faces a catastrophic problem related to respiratory syndrome due to the coronavirus SARS-CoV-2: the Covid-19 disease. This virus has changed our coexistence rules and, in consequence, has reshaped the daily activities in m...
On study of fractional order epidemic model of COVID-19 under non-singular Mittag-Leffler kernel [0.03%]
基于非奇异Mittag-Leffler核的新型冠状病毒分数阶流行病模型的研究
Sara Salem Alzaid,Badr Saad T Alkahtani
Sara Salem Alzaid
This paper investigates the analysis of the fraction mathematical model of the novel coronavirus (COVID-19), which is indeed a source of threat all over the globe. This paper deals with the transmission mechanism by some affected parameters...
Analysis of COVID-19 using a modified SLIR model with nonlinear incidence [0.03%]
非线性发病率修正SLIR模型的COVID-19分析
Md Abdul Kuddus,Azizur Rahman
Md Abdul Kuddus
Infectious diseases kill millions of people each year, and they are the major public health problem in the world. This paper presents a modified Susceptible-Latent-Infected-Removed (SLIR) compartmental model of disease transmission with non...
Time series prediction of COVID-19 transmission in America using LSTM and XGBoost algorithms [0.03%]
基于LSTM和XGBoost算法的美国新型冠状病毒时间序列预测
Junling Luo,Zhongliang Zhang,Yao Fu et al.
Junling Luo et al.
In this paper, we establish daily confirmed infected cases prediction models for the time series data of America by applying both the long short-term memory (LSTM) and extreme gradient boosting (XGBoost) algorithms, and employ four performa...
Forecast of the outbreak of COVID-19 using artificial neural network: Case study Qatar, Spain, and Italy [0.03%]
基于人工神经网络的COVID-19爆发预测：卡塔尔、西班牙和意大利案例研究
Moayyad Shawaqfah,Fares Almomani
Moayyad Shawaqfah
The present study illustrates the outbreak prediction and analysis on the growth and expansion of the COVID-19 pandemic using artificial neural network (ANN). The first wave of the pandemic outbreak of the novel Coronavirus (SARS-CoV-2) beg...
Mathematical search technique for detecting moving novel coronavirus disease (COVID-19) based on minimizing the weight function [0.03%]
基于最小化权重函数的数学搜索技术检测移动中的新型冠状病毒肺炎(COVID-19)
Saad J Almalki,W A Afifi,Abd Al-Aziz Hosni El-Bagoury et al.
Saad J Almalki et al.
The study of search plans has found considerable interest between searchers due to its interesting applications in our real life like searching for located and moving targets. This paper develops a method for detecting moving targets. We pr...