Throughout the COVID-19 pandemic, many have seriously worried that the plus burden of seasonal influenza that might create a destructive scenario, resulting in overwhelmed healthcare capacities and onwards loss of life. Many efforts to develop a safe and efficacious vac...

Abstract With the development of digital technology, Vietnam's education has been undergoing significant changes. This is considered one of the eight important fields of the National Digital Transformation, so it needs to take advantage of opportunities to be able to tr...

The spread of severe acute respiratory syndrome coronavirus 2 novel coronavirus (SARS-CoV-2) worldwide has caused the coronavirus disease 2019 (COVID-19) pandemic. A hundred million people were infected, resulting in several millions of death worldwide. In order to prev...

Abstract The COVID-19 pandemic restrictions introduced in 2020 in many countries on economic activity and gainful employment have in many cases, reduced the incomes of individual households. As a result, the actual ability to meet credit obligations has declined, partic...

COVID-19 has presented unusual challenges for individuals, governments and societies across the globe. Several non-medical and non-pharmaceutical interventions have demonstrated to be critical in addressing the resultant impacts. One notable tool among these interventio...

The COVID-19 pandemic has wrought havocs on economies around the world. Yet, barely any evidence currently exists on the distributional impacts of the pandemic. We provide the first study that offers new theoretical and empirical evidence on the distributional impacts o...

Objective: Teaching is often described as one of the most emotional-laden professions, and teachers experience a wide range of emotions while teaching. In times of the COVID-19 pandemic, the crisis...

This paper aims to analyze the sustainability of E-learning of the university education system in Vietnam, specifically FPT University, during the Covid 19 epidemic. In the case of FPT University in this research, the students and teachers and managers from the Business...

This paper presents a deep learning approach to predict new COVID-19 infected cases in a specific country with insufficient data at the onset of the outbreak. We collected data on daily new confirmed cases in several countries of the region where COVID-19 occurred earli...