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COVID-19 has changed the world forever in every imaginable aspect. Hospitality and Tourism has been one of the world's largest employers and key economic contributors. Hospitality and Tourism has been one of the worst-hit sectors due to the pandemic (COVID-19) worldwide. This has called upon the attention of many researchers worldwide. The main purpose of this study is to analyse the literature during 2019-2022, identify the most productive authors, most influential countries, most productive institution and journals also top-performing research articles and keyword analysis to know the research themes and trends focussing coronavirus in the fields of Hospitality and Tourism. The study also suggests the areas of future research to the researchers and policymakers and proposes solutions to contemporary issues. The study uses "biblioshiny” – an interface of R-package and VOSviewer for conducting bibliometric analysis that ameliorates the quality of review bereft of any subjective biasness. ©Copyright IJHTS.
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Coronaviruses is a broad group of viruses that has the potential to cause mild or severe respiratory infections. Currently, there is no specific treatment for the treatment of COVID-19. The symptomatic treatment is generally given on case-to-case basis along with basic life supportive measures for management of COVID-19. There is an acute urgency of evaluating the pre-existing drugs to develop a convincing treatment for COVID-19 or at least to reduce its severity. 2-DG being inhibitor of both glycolysis and glycosylation appears as a promising therapeutic option. In the present chapter, the rationale of repurposing of 2-DG as a potential treatment option for the management of COVID-19 has been discussed. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
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Introduction: Left ventricular (LV) thrombus is a known complication of myocardial infarction (MI) and it usually occurs in areas of poorly contracting LV muscle as a result of endocardial injury with associated inflammation. There is a high risk of embolization within 3 months among patients with MI complicated by mural thrombus and this risk is maximum during the first 1-2 weeks. We report a case series of five patients who presented with acute coronary syndrome with LV apical thrombus and treated with triple anti-thrombotic therapy of rivaroxaban, aspirin, and clopidogrel. Case Series: Our series involves 5 cases who developed LV apical thrombus after acute coronary syndrome. Four patients had anterior wall ST-elevation MI (STEMI) whereas 1 patient had inferior wall STEMI. One of the patients with anterior STEMI also had COVID pneumonitis. All of these patients received triple anti-thrombotic therapy consisting of tab Aspirin 75 mg OD, tab clopidogrel 75 mg OD, and tab rivaroxaban 20 mg OD for 3 months duration. Repeat ECHO after 3 months showed complete resolution of LV thrombus in all of our cases. Discussion: LV thrombus reported in STEMI patients is from 1.6% up to 39% in various studies. The incidence of LV thrombus is on decreasing trend as a result of modern revascularization strategies. The role of novel oral anticoagulants (NOACs) in treating LV thrombus is scant as compared to oral Vitamin K antagonists (VKAs) like warfarin. The current recommendation for anticoagulation in the presence of a LV thrombus after acute coronary syndrome is with VKAs for up to 6 months. Conclusion: Although there is uncertainty in decision-making regarding antithrombotic therapy, our case series demonstrate that triple antithrombotic therapy with NOACs results in resolution of LV thrombus without any additional bleeding events in patients presenting with acute coronary syndrome. NOACs have an advantage of not requiring PT/INR monitoring and have less bleeding complications. Further large-scale research or randomized controlled trials are needed to find the optimal therapies in such cases. © 2022 by the Author(s).
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Purpose – The Government of India has declared COVID-19 a pandemic and imposed lockdown throughout the country as a preventive measure from the infection. Almost every sector has witnessed a tough time during the crisis, including the education sector. The digital model of imparting education came into practice with online teaching and learning. This paper provides an overview of the education system during pandemic times. It discusses the opportunities and challenges faced by the stakeholders during online education in India in times of pandemic. Design/ Methodology/ Approach – The research undertakes the in-depth review of previous papers, articles, secondary sources – published and unpublished in the field. Findings – The findings revealed that the Indian government has put in a lot of effort to provide education online by providing numerous free digital platforms to cater to the educational needs of learners of different age groups. But, inaccessibility of the internet to all and unpreparedness of educational institutions in developing sound infrastructure, resources and untrained teachers for online mode of education emerged to be the major challenges. Practical Implications – The study’s findings can be insightful for the Higher Education Institutions and the teachers to remodel their educational pedagogies overcoming all challenges and well equip for successful implementation of future online or blended education and to deal efficiently with any such crisis in future. Originality/ Value – There have been numerous research studies on education during crisis times, but a few studies have been conducted in India focusing upon challenges and opportunities of imparting online education during COVID-19 times in India. The study will add to the existing exploratory data and fill in the gap by contributing to the literature related to online teaching and learning during the pandemic crisis. © 2021 Publishing India Group. All rights reserved.
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After experiencing the hard times of pandemic situations we learned that if we could have a smart system that can help us in automatic parking of the vehicles then it could be a great help to society. This idea motivated us to carry out this current work. Though, nowadays, in almost every application domain, IoT techniques are the buzzword. IoT techniques can also be used to achieve efficacy in predicting free available parking space in advance. But the biggest challenge with IoT techniques is that they generate numerous data, which makes its analysis intangible. It was realized that if IoT techniques can be fused with outperforming data mining techniques, more efficient predictions can be performed. Thus, for this purpose, the main objective of our paper is to firstly, select the most appropriate data mining technique, based on performance evaluation, and then to perform prediction of available parking space in advance by fusing it with IoT techniques. Due to the busy schedule, the drivers need to get information about free parking spaces in advance by using smart phones. With the help of this information, it will be easy for the drivers to park their vehicle in the exact location without wasting their precious time and will maintain social distancing in crowded areas too. Data mining techniques can play an important role in the prediction of available parking space, by extracting only relevant and important information when applied to the given dataset. For this purpose, a comparative analysis of five data mining techniques such as the Support Vector Machine, K-Nearest approach, Decision Tree, Random Forest, and Ensemble learning approaches are applied on PK lot data set by using Python language. For calculation of result anaconda (spyder) is used as a supportive tool. The main outcome of the paper is to find the technique that will give better results for the prediction of the available space and if we fused data mining techniques with IoT technologies results are improvised. Evaluation parameters that are used for finding the best technique are precision, recall, accuracy, and F1-Score. For numerical calculation of the results, the k-fold cross-validation method is used. As the empirical results are calculated using the Pk lot dataset, the decision tree outperformed the best among all the techniques that are selected for analysis.
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INTRODUCTION: Coronavirus disease 2019 (COVID-19) is a highly contagious disease that quickly reached pandemic levels. Over 5 million COVID-19 cases and approximately 330,000 deaths have been recorded worldwide. Transmission is primarily spread through direct, indirect (through contaminated objects or surfaces), or close contact with infected people via respiratory droplets, the mouth, and/or nose secretions. Health care professionals (HCPs), including dental HCPs, are recognized to be at considerably high risk for infection due to the close proximity to patients and aerosol-generating procedures. During pregnancy, HCPs may be at even higher risk since pregnancy substantially increases the susceptibility to infectious diseases. OBJECTIVES: Here, we present the posed risks and potential effects of COVID-19 on maternal and fetal health. Current prevention and management strategies for COVID-19 on pregnant dental and HCPs are also discussed. RESULTS: Significant progress is being made in understanding the pathogenesis and clinical consequences of COVID-19. Pregnant women are affected more adversely with viral illnesses, although evidence of vertical transmission of COVID-19 is controversial. Based on the presence of atypical symptoms, the significant numbers of asymptomatic individuals who are COVID-19 positive, and the high susceptibility to viral diseases observed in pregnant women, recommendations have been put forth to limit the exposure of COVID-19-positive or even suspected cases to pregnant HCPs, and these are likely to evolve as new information becomes available. CONCLUSION: Pregnant HCPs require extra caution: not only are they considered a high-risk population, but their work at the frontline in a pandemic may expose them to additional risks. Complete awareness of the effects of COVID-19 on maternal and fetal/infant health, as well as prevention and management guidelines for pregnant HCPs, will allow for a safer work environment. Health care institutional policies aimed at protecting pregnant HCPs should consider avoiding their assignment as first responders, especially if equally trained staff are available. KNOWLEDGE TRANSFER STATEMENT: Dental and health care professionals can use the information in this review to improve their awareness of COVID-19 risks, signs, and symptoms and the associated effects on the health of pregnant health care professionals and their unborn/newborn children.