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Emergence of the Online-Merge-Offline (OMO) Learning Wave in the Post-COVID-19 Era: A Pilot Study
(Sustainability (Switzerland), 2021)
The COVID-19 pandemic revealed the need for new innovative methods to effectively maintain education in times of crisis and uncertainty. This study first presents the Online-Merge- Offline (OMO) learning approach, a way ...
Activities and perceived risk of transmission and spread of sars-cov-2 among specialists and residents in a third level university hospital in Spain
(International journal of environmental research and public health, 2021)
This study aims to identify factors related with SARS-CoV-2 infection in physicians and internal residents during the SARS-CoV-2 pandemic at a tertiary hospital in Spain, through a cross-sectional descriptive perception ...
Twitter as a tool for citizen education and sustainable cities after COVID-19
(Sustainability (Switzerland), 2021)
The social confinement resulting from the COVID-19 crisis temporarily reduced greenhouse gas emissions. Although experts contend that the decrease in pollution rates was not drastic, some surveys detect growth in social ...
Impact of COVID-19 pandemic in public mental health: An extensive narrative review
(Sustainability (Switzerland), 2021)
The Coronavirus Disease 2019 (COVID-19) pandemic has surprised health authorities around the world producing a global health crisis. This research discusses the main psychosocial stressors associated with COVID-19 in the ...
Blockchain Technology for Winning Consumer Loyalty: Social Norm Analysis Using Structural Equation Modeling
(Mathematics, 2021)
Remarkable changes have taken in social operation mode and consumers’ behavior mode because of the foot ban during the pandemic spread of COVID-19. Digital technologies such as Blockchain have shown potential in gaining ...
A Virtual Reality-Based Cognitive Telerehabilitation System for Use in the COVID-19 Pandemic
(Sustainability (Switzerland), 2021)
The COVID-19 pandemic has changed people’s lives and the way in which certain services are provided. Such changes are not uncommon in healthcare services and they will have to adapt to the new situation by increasing the ...
Real-time measurement of the uncertain epidemiological appearances of COVID-19 infections
(Applied soft computing, 2021)
Virus diseases are a continued threat to human health in both community and healthcare settings. The current virus disease COVID-19 outbreak raises an unparalleled public health issue for the world at large. Wuhan is the ...
A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak
(Applied intelligence, 2021)
Measuring the spread of disease during a pandemic is critically important for accurately and promptly applying various lockdown strategies, so to prevent the collapse of the medical system. The latest pandemic of COVID-19 ...
Automated Detection of COVID-19 using Chest X-Ray Images and CT Scans through Multilayer-Spatial Convolutional Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence, 2021)
The novel coronavirus-2019 (Covid-19), a contagious disease became a pandemic and has caused overwhelming effects on the human lives and world economy. The detection of the contagious disease is vital to avert further ...
Facial Recognition System for People with and without Face Mask in Times of the COVID-19 Pandemic
(Sustainability, 2021)
In the face of the COVID-19 pandemic, the World Health Organization (WHO) declared the use of a face mask as a mandatory biosafety measure. This has caused problems in current facial recognition systems, motivating the ...