ABSTRACT
Shared mobility has been documented as one of the most common urban transport services and one of the fastest growing service markets of recent times. In India, the shared mobility market was poised to grow at a CAGR of 13.7% in the period 2019–2025 with a fleet size of two million units in 2019. However, the global pandemic has had an extraordinary impact on the shared mobility space. Bangalore is one of the most prominent metropolises of Asia. The city is India’s Silicon Valley, and attracts people from all across the country. Planning for mobility is an important aspect of a growing metropolis, and Bangalore appears to be an excellent area for exploratory research. This study presents the challenges and opportunities presented by the COVID-19 on shared mobility in Bangalore. The World Health Organization (WHO) has recognised the novel coronavirus thereafter called COVID-19, as the greatest pandemic in a century. The global pandemic has impacted human activity in unprecedented ways. Working situations have changed globally with a significant segment of workers moving to remote working situations. Schools, colleges and other educations institutions have fast adapted to the online mode. Leisure trips have taken a back seat. In light of these significant changes in lifestyle several research works in the field of urban transportation highlight the changing travel pattern and preferences of the urban users. The study presents the user perceptions towards shared mobility modes and changed travel patterns in Bangalore in the wake of COVID-19 through a user survey. The study includes a documentation of the government issued COVID related standard operating procedures (SOPs), altered travel patterns, perceived and real barriers to travel and the attitude of users to shared mobility. © 2021 WIT Press
ABSTRACT
Estimation of recovery rate of COVID-19 positive persons is significant to measure the severity of the disease for mankind. In this work, prediction of the recovery rate is estimated based on machine learning technology. Standard data set of Kaggle has been used for experimental purpose, and the data sets of COVID cases in Italy, China and India for these countries are considered. Based on that data set and the present scenario, the proposed technique predicts the recovery rate. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The Role of Hyperbaric Oxygen Therapy as an adjunct to treating patients with severe -COVID-19 infection is critical in recovery outcome of the patients as discussed in the articles reviewed in this paper and it will form a basis to develop treatment protocol for HBOT for COVID-19 patients by hyperbaric medical authorities. The critical standpoints in respect of pathophysiology and pharmacodynamics are emphasized in this paper.
ABSTRACT
Novel coronavirus disease 2019 (COVID-19) is a pandemic that has become a worldwide challenge. The virus is highly contagious, with very diverse clinical consequences very diverse. It is estimated that if no effective measures are implemented, COVID-19 could plague 90% of the world’s population and kill over 40 million people. Despite hard efforts of scientists and clinicians during the last few months, our current knowledge of COVID-19 remains limited. COVID-19 can cause severe respiratory failure requiring a wide range of respiratory support interventions. This review aimed to provide brief guidance for respiratory support management of COVID-19 patients. © 2020, American University of Beirut. All rights reserved.