Travel Log Analysis Tracking System Based On Salesforce For Covid-19

This review aims to examine the writing in order to assist specialists and scientists in better understanding and dealing with the impact of Coronavirus on the tourism sector. The study examines the situations and questions created as a result of the pandemic to see why and how Coronavirus - 19 has impacted people's lives. As a result, the report identifies the qualities, establishments, and preconceptions that the travel industry should question, as well as the activities that should be made to take a step ahead. The study also looks into the considerable loss the travel sector is experiencing throughout the Coronavirus stages and proposes a solution based on the Salesforce platform to address some of the issues. This provides an overview of how the Coronavirus affects the travel business, as well as recommendations for the industry, examining and settling some of them with 'Travel Log Analysis utilizing Salesforce'. © 2022 IEEE.

Coronavirus disease (COVID-19) Associated mucormycosis (CAM)

The currently prevalent COVID-19 infection, its line of treatment, resultant immunosuppression, and pre-existing comorbidities have made patients exposed to secondary infections including mucormycosis. Mucormycosis is a rare but in invasive fungal infection (IFI) due to several species of saprophytic fungi, occurring in patients with underlying co-morbidities which include diabetes mellitus, organ transplant, immunosuppressive corticosteroid therapy. The maxilla rarely undergoes necrosis due to its rich vascularity. Rare but not uncommon is the incidence of mucormycosis associated maxillary osteomyelitis occurring post COVID-19 infection. Fungal osteomyelitis is a life-threatening infection which may further spread from maxilla to the nose and paranasal sinuses within the orofacial region. It is an aggressive infection that needs to be addressed promptly to prevent fatal consequences.

Impact of the COVID-19 Pandemic on Gastroenterology Training in India

Introduction The coronavirus disease 2019 (COVID-19) pandemic has affected the healthcare system. The residents who are at the frontline of this pandemic have suffered the most. The extent of the training loss due to the COVID-19 pandemic on gastroenterology (GE) training is not studied in India. Methods We designed a 36-question based google survey and distributed it to the GE residents all across India, via email. All the responses collected were analyzed using appropriate statistical methods. Results A total of 140 responses were received. No significant decrease in teaching sessions/ classes was reported. Most of the residents (83.5%) reported inability to complete the target thesis enrolment. The number of patients seen by the residents in outpatient department, patients managed in wards and endoscopic procedures done by residents have decreased significantly (p -valve <0.001 for all). An overwhelming 89.9% (n = 125) of the GE residents were posted for COVID-19 duties. Almost half (50.4%) of them were COVID-19 positive. Conclusion The COVID-19 pandemic has affected the training of GE residents in India immensely and an extension period of 3 months may be offered to them.

The Multifaceted Impact of COVID-19 on Social Media Users' Wellbeing and Relationship With Urban Nature

As the coronavirus disease 2019 (COVID-19) pandemic has unfolded, the media is increasingly recognizing the value of urban nature, with greenspace use increasing. In cities, where people often lack access to private greenspaces, parks and other urban greenspaces offer opportunities for exercise and physically distanced socializing. Previous research has demonstrated the benefits of urban greenspaces to both physical and mental health, during times of relative stability. Here, we seek to examine how people's responses to greenspace are affected by a global pandemic, which uniquely affects both physical movements and mental wellbeing in the population at large. We compare tweets focused on nature- and greenspace-related keywords and hashtags from March to July 2019 with tweets from the same period in 2020 for metropolitan regions in the United States. We also examine the influence of stay-at-home restrictions in 2020. These posts reinforce findings from conventional survey approaches showing that people's relationship to greenspace is multifaceted. Furthermore, the results of our pre–post analysis of people's outdoor use suggest that the pandemic has had a differential impact on these multifaceted dimensions of people's engagement with nature. By applying a multidimensional construct of wellbeing, we identify Positive emotion, Positive relationships, and Meaning as subfactors of wellbeing that potentially can be increased by urban nature. These findings are important in demonstrating that greenspace in cities played a critical role in individuals' resilience and wellbeing during the early months of the pandemic and highlighting the need for maintaining and expanding access to urban greenspaces in the future, for the benefit of all city residents. Copyright © 2022 Johnson and Sachdeva.

Integrating IoT with Vedic Technology to Purify Atmosphere

Agnihotra/Homa therapy is a gift to humanity from the ancient Vedic technology of bioenergy, climate science, medicine, and agriculture. It is an urgent need to purify the atmosphere and strengthen the immune system through Vedic Science techniques. Covid-19 has become a major threat globally. Agnihotra can be a useful tool to combat coronavirus. Agnihotra process purifies the atmosphere through fire prepared in a copper pyramid tuned to the biorhythm of sunrise and sunset. Technology is now part of our lives and the Internet of Things takes a significant share in making it possible. So IoT and Agnihotra fire technology is applicable for the improvement of all aspects of the environment and thereby having a very positive impact on the thrive of living organisms. IoT-based sensors will become the weapon in measuring the presence of bacteria, microbes, viruses in the surrounding area. They can be used for both indoor and outdoor environments and offers monitoring at a lower cost than conventional methods, in theory making the process of monitoring possible in many more locations. We also proposed an IoT based model where data will be gathered from various sensors before and after Yajna. It is then transmitted and stored on a cloud sub-system, where it is maintained, managed, and backed up. Further automation of analytical model building is done through the process of machine learning and data visualizations, thus enabling users to enhance their immune system by using technology and Vedic knowledge of Agnihotra. © 2021 IEEE.

Facial Masks for COVID-19 Pandemic an Approach toward Awareness among Health Practitioners

Objective: Coronavirus pandemic is a human respiratory disease caused by the severe acute respiratory syndrome (SARS-CoV-2). The objective of the present study was to evaluate the type of mask, frequency of change, difficulties in breathing, dryness of mouth, hazards, and treatment taken for skin allergies if any due to use of facial masks in the present Coronavirus pandemic. Materials and Methods: The present survey was carried on dental practitioners for evaluating knowledge and attitude among 1640 participants. The anonymous survey was carried among different groups of age, gender, and qualifications among dentists all around the globe. SPSS 23.0 statistical software was used for statistical analysis. GraphPad Prism 6 was used for statistical analysis and visualization using Chi-square test, one-way ANOVA and post hoc test. The validity of the questionnaire was pilot tested and measured. The Chron bach's alpha value was 0.71. Results: Among the participants 46.3% used respirators such as N95, filtering facepiece respirators 2, or the equivalent. Surgical masks were used by 43.9% and the remaining used cloth masks. When inter group comparison was done for different age groups, it was found that there was a statistically significant for the type of mask used. Sixty-six percent participants reported oral malodor after using the facial masks while dryness of the mouth was reported in 41.5 and 9.1% reported acne. Conclusion: The use of face masks has become mandatory ornament along with social distancing to avoid transmission. Hypercapnia and breathing difficulties reported were less. For treating the face after long use of facial mask many of the participants reported that no treatment was taken while, others hydrated the face frequently with water, moisturizer and very few used antifungal agent.

The Impact of Scarcity on Pro-environmental Behavior in the COVID-19 Pandemic

As the world contends with the far-ranging impacts of the COVID-19 pandemic, ongoing environmental crises have, to some extent, been neglected during the pandemic. One reason behind this shift in priorities is the scarcity mindset triggered by the pandemic. Scarcity is the feeling of having less than what is necessary, and it causes people to prioritize immediate short-term needs over long-term ones. Scarcity experienced in the pandemic can reduce the willingness to engage in pro-environmental behavior, leading to environmental degradation that increases the chance of future pandemics. To protect pro-environmental behavior, we argue that it should not be viewed as value-laden and effortful, but rather reconceptualized as actions that address a multitude of human needs including pragmatic actions that conserve resources especially during scarcity. To bolster environmental protection, systematic changes are needed to make pro-environmental behavior better integrated into people's lives, communities, and cities, such that it is more accessible, less costly, and more resilient to future disturbances. Copyright © 2021 Sachdeva, Wu and Zhao.

Impact of financial attitude on financial management behaviour of retail investors: A COVID-19 perspective

With the emergence of COVID-19, the end of 2019 witnessed worldwide crises causing immense harm to human life. The virus that emerged from China at the end of the year 2019 soon spread to almost all the world economies with negative effects getting amplified each passing day. To combat the rapid spread of the virus and meet the rising medical needs the various governments imposed complete to restricted lockdown. Though the lockdown to an extent helped control the spread of the deadly virus, it also affected the economies severely. The unstable financial system, lack of earnings and limited savings brought a noticeable change in the financial attitude of the retail investors and hence, the emergence of COVID-19 opened up new areas of academic research in the field of financial management behaviour. Considering the novelty of the subject, this paper seeks to examine the impact of financial attitude and financial management behaviour of retail investors during the pandemic. To meet the objectives, the data were collected from a sample of 325 Delhi-NCR based retail investors. Structural Equation Modeling has been used to study the relationship amongst the identified variables. The findings enrich our understanding of retail investment behaviour. © 2021. Transnational Press London. All Rights Reserved.

A Review of Various Mathematical and Deep Learning based Forecasting Methods for COVID-19 Pandemic

With over a hundred million cases worldwide and thousands coming daily, the outbreak of COVID-19 has seriously affected many countries' healthcare and economic situations. A precise and efficient model for predicting new COVID-19 cases and the pandemic's future dynamics can be highly beneficial in such distressing conditions. These predictions might help the hospitals and the concerned authorities to devise necessary and preliminary arrangements for the patients in advance. This will be able to positively prevent the second or third wave of the pandemic spread. In the following study, we have composed a brief analysis of the appropriate and recent tools used for forecasting COVID-19. In this study, we have categorized these forecasting techniques into two broad classes, viz. Mathematical modeling based and Deep Learning-based. These predictions prepare us against any future threat and consequence that may occur in the future. © 2021 IEEE.

Unveiling business school interns' satisfaction toward online summer internship program amid COVID-19

Purpose: The objective of this research is to explore factors that influence interns' satisfaction (is) toward the e-internship program, an alternate adopted by management institutes in lieu of the regular summer internship amidst the global pandemic, coronavirus disease 2019 (COVID-19). Design/methodology/approach: A cross-sectional research design with a self-reported questionnaire was conducted on business school (B-school) interns to rate the factors that contribute to their e-internship satisfaction. Structural equation modeling was used to examine the responses obtained from 203 B-school interns with a diverse demographic background belonging to a government university of North India. Convenience sampling was employed to get valid responses from interested respondents. Findings: Results revealed that although all the four factors under consideration, faculty mentors' preparedness (FMP), industry mentors' preparedness (IMP), interns' readiness toward online internship and interns' Internet efficacy (IIE) are significantly related to IS, industry mentors' role was found to have a major impact on the IS. The study unravels that industry mentors' interaction has a potential role in the successful implementation of e-internships. Research limitations/implications: The study has implications for the university as well as the companies to ponder on factors that satisfy interns during the virtual internship and designing an effective internship program by having a collaborative approach. Originality/value: There is a dearth of empirical studies on internships in general and e-internship in particular, so this study fills the gap and contributes to the existing literature and provides ways to satisfy B-school interns toward e-internship by addressing the key factors. © 2021, Emerald Publishing Limited.

The Race to Find COVID-19 Vaccine: So Near, Yet so Far!

In a brief span of time, coronavirus has become a major cause of concern worldwide ever since the first case was reported in Wuhan, China in December 2019. The pace at which the virus is being transmitted across the globe and the sudden increase in numbers of cases is much faster than severe acute respiratory syndrome and Middle East respiratory syndrome. With the rising number of cases, coronavirus disease 2019 (COVID-19) not only has an adverse effect on health, it has a deep seated impact on the economic and social front. Hence, the development of an effective vaccination strategy seems to be the only light at the end of the tunnel. The ongoing pandemic mandates the speedy evaluation of multiple approaches in order to elicit protective immunity and to curtail unwanted immune-potentiation which plays an important role in the pathogenesis of this virus. Being developed by more than 90 institutions in the world, a vaccine which is both effective and safe becomes all the more essential in the current time. Various types of vaccine strategies are being tested under different phases of clinical trials. The present paper hopes to provide an overview of the current work going on in this direction, with an aim to further fuel effects for an early and effective COVID-19 vaccine platform.