Impact of COVID-19 outbreak on tropospheric NO2 pollution assessed using Satellite-ground perspectives observations in India [0.03%]
基于印度的卫星和地面观测评估COVID-19爆发对对流层NO2污染的影响
P Balamadeswaran,J Karthik,Ruthra Ramakrishnan et al.
P Balamadeswaran et al.
The global outbreak of Novel Corona Virus 2019 (SARS-CoV-2) has made worldwide lockdown including India since March 24, 2020. The current research aims at the improvements of nitrogen dioxide (NO2) during the COVID-19 lockdown in India. Thi...
Stability and bifurcation analysis of a heroin model with diffusion, delay and nonlinear incidence rate [0.03%]
具有扩散、时滞和非线性发病率的海洛因传播模型的稳定性与分支分析
Soumen Kundu,Nitu Kumari,Said Kouachi et al.
Soumen Kundu et al.
As we all know, the use of heroin and other drugs in Europe and more specifically in Ireland and the resulting prevalence are well documented. A huge population is still dying using heroin every day. This may happen due to, several reasons ...
The influence of awareness campaigns on the spread of an infectious disease: a qualitative analysis of a fractional epidemic model [0.03%]
意识运动对传染病传播的影响：分数阶流行病模型的定性分析
Khadija Akdim,Adil Ez-Zetouni,Mehdi Zahid
Khadija Akdim
Mass-media coverage is one of the most widely used government strategies on influencing public opinion in times of crisis. Awareness campaigns are highly influential tools to expand healthy behavior practices among individuals during epidem...
Modelling COVID-19 incidence in the African sub-region using smooth transition autoregressive model [0.03%]
使用平滑门阈自回归模型模拟非洲次区域的Covid-19发病情况
Eric N Aidoo,Richard T Ampofo,Gaston E Awashie et al.
Eric N Aidoo et al.
Prediction of COVID-19 incidence and transmissibility rates are essential to inform disease control policy and allocation of limited resources (especially to hotspots), and also to prepare towards healthcare facilities demand. This study de...
A data analytics approach for COVID-19 spread and end prediction (with a case study in Iran) [0.03%]
基于数据分析的新型冠状病毒传播及消逝预测方法（以伊朗为例）
Arman Behnam,Roohollah Jahanmahin
Arman Behnam
World is now experiencing the new pandemic caused by COVID-19 virus and all countries are affected by this disease specially Iran. From the beginning of the outbreak until April 30, 2020, over 90,000 confirmed cases of COVID-19 have been re...
Statistical data analysis of risk factor associated with mortality rate by COVID-19 pandemic in India [0.03%]
印度新冠肺炎疫情期间与死亡率相关的风险因素统计数据分析
Bijay Halder,Jatisankar Bandyopadhyay,Papiya Banik
Bijay Halder
The coronavirus is an infection caused by severe acute respiratory syndrome (SARS) coronavirus, known as SARS-CoV-2. It was first determined in Wuhan, China in December 2019. WHO named this virus as COVID-19. Virologist says that COVID-19 i...
Climate effects on the COVID-19 outbreak: a comparative analysis between the UAE and Switzerland [0.03%]
气候因素对新冠疫情的影响：以阿联酋和瑞士为例的比较分析
M R Mansouri Daneshvar,M Ebrahimi,A Sadeghi et al.
M R Mansouri Daneshvar et al.
The main aim of the present study is to disclose the similarities or differences of the climate effects on the COVID-19 outbreak in two countries, which have different climatic conditions. Using the correlation modeling, the results reveale...
Mathematical modeling and a month ahead forecast of the coronavirus disease 2019 (COVID-19) pandemic: an Indian scenario [0.03%]
新冠肺炎（COVID-19）流行病数学模型及其一个月疫情预测：以印度为例
Suhail Ganiny,Owais Nisar
Suhail Ganiny
India, the second-most populous country in the world is witnessing a daily surge in the COVID-19 infected cases. India is currently among the worst-hit nations worldwide due to the COVID-19 pandemic and ranks just behind Brazil and the USA....
Numerical simulation of the force of infection and the typical times of SARS-CoV-2 disease for different location countries [0.03%]
不同国家地理位置的新冠肺炎感染力及病程特征的数值模拟研究
Marwan Al-Raeei
Marwan Al-Raeei
The new coronavirus disease appeared at the end of 2019 which is now a very big problem by spreading over the world and there are multiple parameters that can be discussed to be tools for the forecasting and the spreading of the pandemic su...
Impact of population density on Covid-19 infected and mortality rate in India [0.03%]
人口密度对印度新冠肺炎感染率和死亡率的影响
Arunava Bhadra,Arindam Mukherjee,Kabita Sarkar
Arunava Bhadra
The Covid-19 is a highly contagious disease which becomes a serious global health concern. The residents living in areas with high population density, such as big or metropolitan cities, have a higher probability to come into close contact ...