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This study provides insights into the pattern of COVID-19 research publications in Indonesia and aims to map out the contributions of social science scholars in the country during the pandemic, using bibliometric analysis. The analysis was conducted through desk research using the scientometric method from the Scopus database, with a total of 1,037 articles analysed. The research found that social sciences scholars in Indonesia made significant contributions to the fields of online learning, economics, business and management, public health and administration, and communication and media studies. The study also identified the influences of research areas, funding, open access, female first author, female co-authors, and international collaborative research on quartile and the number of citations. The implications of the study suggest that efforts should be made to promote gender diversity in research, allocate research funding appropriately, and encourage international collaboration. Authors should prioritize publishing in high quartile journals and opt for open access publication. Additionally, academic institutions and funding agencies should provide guidance on selecting reputable journals to maintain a culture of quality research.
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PurposeA proliferation of articles surrounding the COVID-19 pandemic is calling for new insights through review. This paper aims to bibliometrically analyze the current progress of research around hospitality and tourism to define the research directions on herd immunity and the prevention of disease under the "new normal.”Design/methodology/approachThis paper analyzed 326 articles regarding COVID-19 published in SSCI hospitality, leisure and tourism journals in 2020 and 2021 by combining manual analysis and bibliometrics to reveal research topics and to gain insight into research structures.FindingsThe results of this paper summarized topics related to stakeholders' mentality and behavior, responses of travel suppliers to the COVID-19 pandemic, economic impact and demand forecasting, social issues of human rights and racism and reflection on tourism and transformation of the industry. More research is called for in the future to focus on a better response to the crisis, including crisis management education and training and the improving the resilience of small- and medium-sized enterprises.Research limitations/implicationsA three-dimensional consideration was proposed to promote the sustainable development of hospitality and tourism.Originality/valueIn the "new normal” phase of herd immunity and disease prevention, to the best of the authors' knowledge, this is the first paper that provides an up-to-date systematic overview of the evolution of COVID-19 research in tourism and hospitality and encourages more conceptual, practical and futuristic studies.
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Telemedicine has long been of interest to the U.S. general public. Yet, despite the advent of high-speed internet and mobile device technology, telemedicine did not reach its full potential until the COVID-19 pandemic spurred its unparalleled adoption. This sudden shift in the setting of healthcare delivery raises questions regarding possible changes in clinical decision-making. Using a unique set of patient-provider encounter data from the U.S. in 2020 and 2021, we examine the effect of telemedicine on antibiotic prescription errors for urinary tract infections. After accounting for potential endogeneity issues using provider fixed effects and an instrumental variable approach, we find a significantly lower likelihood of prescription errors with telemedicine relative to in-person encounters. We also find heterogeneous effects by a provider's patient volume and the patient-provider relationship. © 2023 IEEE Computer Society. All rights reserved.
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Background: Studies related to the coronavirus disease 2019 (COVID-19) were frequently published as pre-prints prior to undergoing peer-review. However, several publications were later retracted due to ethical concerns or study misconduct. Although these studies have been retracted, the availability of their corresponding pre-prints has never been formally investigated, and may result in the spread of misinformation if they are being used to inform decision-making. Methods: Our objective was to conduct a systematic survey of retracted COVID-19 publications listed on the Retraction Watch database as of August 15th, 2021. We assessed the availability of corresponding pre-prints for retracted publications, and documented the number of citations and online views. Results: Our study included 140 retracted COVID-19 publications, and we could not retrieve corresponding pre-prints for 132 retracted publications in our study (94%). Although we were unable to find the majority of pre-prints, they had already been disseminated, with a maximal citation count of 593 and Altmetric score of 558,928. Conclusion: While it is reassuring that most corresponding pre-prints could not be retrieved, our study highlights the need for online platforms and journals to employ quality assurance methods to prevent the spread of misinformation through citation of retracted papers.
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Molecular-dynamics simulations together with virtual high-throughput screening provide a means of quick evaluation of existing drugs for antiviral activity. The authors explain how these methods serve in the quest for drugs to treat Covid-19.
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Premised on the idea that evaluators should be familiar with a range of approaches to program modifications, I review several existing approaches and then describe another, less well-recognized option. In this newer option, evaluators work with others to identify potentially needed adaptations for select program aspects in advance. In describing this approach, I note the general steps involved and present alternative techniques for identifying, a priori, adaptations that may come to be needed. In the final section, I discuss implications of the a priori adaptation planning approach for the fidelity-adaptation trade-off, past criticism of logic models as overly fixed and linear, potential research and evaluation questions, the development of more detailed views of programs in evaluation theory and training, and possible resistance to adaptation planning. Discussion also considers the potential future of program adaptations in the wake of the COVID-19 pandemic. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
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The COVID-19 global pandemic has had a significant impact on researchers as the normal and expected difficulties of research are exacerbated as education and our way of life has drastically changed. This research note is a reflective narrative of the author's experience transitioning from face-to-face to online interviews in light of social distancing and global travel restrictions. Through a descriptive analysis, this article details the numerous ethical, logistical, practical, and cultural issues the author confronted in preparation for qualitative cross-cultural online interview research through personal reflections, current events, and existing literature. The aim of this article is to highlight personal experience to better inform future research and encourage flexibility and reflexivity in research. It is hoped that this article can be of use to further develop cross-cultural qualitative methodology and expand upon the emerging field of literature surrounding videoconferencing qualitative research. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
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The area of sharing economy business models (SEBMs) is expanding worldwide. To date, a few qualitative literature reviews concentrating on specific business models have been undertaken, while several have focused on the general concept of the sharing economy. Meanwhile, there is a lack of quantitative reviews in this area. Therefore, a retrospective review of the evolution of the SEBM area and prospective forecasts based on quantified data are urgently needed. In order to fill the gaps and critically evaluate the extant literature on the SEBM area and its scientometrics-related topics, this paper combines the Scopus and Web of Science databases to establish a dataset for a thorough bibliometric analysis. With 951 studies from 552 sources identified, this research provides comprehensive and nuanced information covering the most influential authors and their contributions to the subject, impactful articles with their citation details, ranked sources with their h_, g_ and m-index as well as collaboration maps for authors, affiliations and countries. Graphical representation of knowledge mapping depicts the evolution of publications over time and the emerging trends of current interests and potential directions for future research for sustainable development. This study revealed that Sustainability is the most relevant and second most impactful journal in SEBM research. More importantly, this research deployed keyword dynamic and thematic evolution to detect the current and future trending topics, providing seven future research directions: (1) drivers-, location- and competition-related topics;(2) SEBMs in emerging economies;(3) country-, region- and culture-oriented SEBMs;(4) the link between e-commerce and social media frameworks and SEBMs;(5) sustainability and SEBMs;(6) new technologies and SEBMs and (7) COVID-19 effects on SEBMs. Overall, the results of this study theoretically enrich the sharing economy business model literature and have substantial implications for policymakers and practitioners. © 2023 by the author.
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The general feeling is that no predictions can be made based on agent-based social simulations. The outcomes of social simulations are based on the behaviors of individuals and their interactions. Behavioral models are always incomplete and often, also incorrect with respect to real behavior and thus the outcomes of agent-based social simulations cannot be trusted as predictions. In this article, we argue that behavioral models do not have to be valid in all respects, but only in the essential aspects in order to be able to make useful predictions. Based on some case studies on the effectiveness of restrictions during the COVID-19 crisis, we show that what are essential aspects of a behavioral model that need to be valid depends on the specific situation that is simulated. The predictions that were needed for the COVID-19 crisis were made with an agent-based social simulation framework using a behavioral model based on needs. The predictions could indicate the relative increase or decrease of COVID-19 infections due to the introduction of a new restriction. It shows that useful predictions can be made based on social simulations, but that we have to be careful on what type of predictions to make. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
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Recently, advanced digital/internet-based technology has become more prevalent and advanced to play a dominant role in e-commerce. Among them, AI-driven technology innovation in e-commerce plays an important role for its development. There is research potential to discuss how AI-driven technology innovation can benefit the digital economy, as typified by e-commerce, and how it can contribute to the digital transformation of companies in traditional industries. This special issue expands our understanding of organizational and customer intentions and behavior toward AI, such as privacy issues, the perceived benefits and risks of AI-driven technology innovations in e-commerce and building long-term trust relationships between users and AI.
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This chapter presents an interdisciplinary research agenda for understanding the impacts COVID-19 response has had on our use of technology. The widespread unprecedented mandates on social distancing have forced a large majority of nearly 330 million Americans to rely on technology for work, education, and crucial societal functions. Using the Ecology framework, this research agenda identifies the domains of influence for the use of technology—from the individual and community to the organizational and societal levels. This chapter proposes a series of questions focused on the framework and offers a catalog of research questions as a launchpad for future research. This agenda serves as a guide for scholars and practitioners interested in understanding the influence of technology on the expansion or reduction of vulnerabilities for socially marginalized populations. The findings of the review suggest an increase in research on meso-, exo-, techno-, and macro-level interventions of technology use during COVID-19 and that some marginalized populations are not researched as much as others. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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In order to understand the research status and research hotspots of Scutellariae Radix, and provide intuitive data reference and related suggestions for subsequent research, the literature on Scutellariae Radix in Wanfang Database (Wanfang Data), China Academic Journal Full-text Database (CNKI), VIP Biomedical Database (VIP), China Biomedical Literature Database (CBM), Web of Science (WOS) database and PubMed medical literature retrieval service system from January 1, 2000 to June 30, 2022 were searched. Bibliometric analysis was performed by presenting a visual map through VOS viewer software. The results showed that the number of published articles of Scutellariae Radix increased with fluctuation in 22 years. Cluster analysis of Chinese and English keywords showed that the current research on Scutellariae Radix was mainly based on chemical composition, pharmacological action and clinical application. The visualization map of keyword superposition time showed that the treatment of type 2 diabetes mellitus by Scutellariae Radix-Coptidis Rhizoma drug pair and the treatment of novel coronavirus pneumonia (COVID-19) by Scutellariae Radix were the research frontiers of Scutellariae Radix. Network pharmacology and molecular docking technology are new methods to explore the pharmacodynamic material basis. © 2023 Tianjin Press of Chinese Herbal Medicines. All Rights Reserved.
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PurposeThis paper aims to identify the economic stimulus measures that ensure stability of the Lithuanian housing market in the event of an economic shock.Design/methodology/approachThe econometric analysis includes stationarity test, Granger causality test, correlation analysis, autoregressive distributed lag models and cointegration analysis using ARDL bounds testing.FindingsThe econometric modelling reveals that the housing price in Lithuania correlates with quarterly changes in the gross domestic product and approves that the cycles of the real estate market are related to the economic cycles. Economic stimulus measures should mainly focus on stabilizing the economics, preserving the cash and deposits of households, as well as consumer spending in the case of economic shock.Originality ValueThis study is beneficial for policy makers to make decisions to maintain stability in the housing market in the event of any economic shock.
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This perspective provides an insight or viewpoint about the current and future way of do-ing research. The opinion includes the limitations of the research in the current scenario and the possible ways to improve it.Copyright © 2021 Bentham Science Publishers.
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By its very nature ethnography is an emergent methodology. To be ethical the ethnographer needs to manage research ethics in-situ. This need to manage ethical dilemmas as they arise often comes into conflict with increased ethical regulation and procedures from ethics review boards that require the researcher to foresee ethical quandaries before data collection commences. These regulations can constrain the emerging purpose of the study, evolving means of data collection and multifaceted ways of interacting with participants that are seen as being the strengths of undertaking an ethnographic approach. The chapters in this volume problematise this tension and highlight the importance of managing ethics in-situ by reflecting on recently completed and current projects drawing out ethical dilemmas relating to data ownership, dissemination, representation, social justice and managing ethnographic studies in the midst of a global pandemic and Covid-19 lockdowns. Reflecting on these experiences of doing educational ethnography with children and young people, drawing on a diverse range of studies conducted in England, Scotland, South America, India, and the Basque Country, this volume argues that administrative and conceptual change is needed to ensure that ethics does not become a tick box exercise but that ethnographers commit fully to conscientiously managing ethics in-situ. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
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Background and aims: Studies evaluating the impact of SARS-CoV-2 on chronic liver disease (CLD) are limited and have focused mostly on hospitalized patients or those with cirrhosis. We aim to evaluate the impact of underlying CLD on patient outcomes following COVID-19 using a one of the largest COVID-19+CLD cohorts to date. Methods: Data from the COVID-19 Research Database (https://covid19researchdatabase.org) were evaluated from April 1, 2020, to August 31, 2021, to determine whether concurrent CLD was associated with worse outcomes within 30 day of COVID-19 diagnosis, including need for hospitalization, pneumonia, severe pneumonia, respiratory failure, and multiorgan failure. Among patients with COVID-19+CLD, risks of liver decompensation and acute on chronic liver failure (ACLF) were evaluated, stratified by presence of cirrhosis. Adjusted multivariate logistic regression models evaluated the impact of CLD on COVID-19 outcomes. Results: In total, 1,208,905 unique patients with COVID-19 were identified; 44,008 (3.6%) had concurrent CLD, among which 6515 (14.8%) had cirrhosis. Compared to patients without CLD, COVID-19+CLD patients were significantly more likely to require hospitalization (aOR 1.65, 95% CI 1.61-1.69), develop pneumonia (aOR 1.11, 95% CI 1.08-1.14), severe pneumonia (aOR 1.74, 95% CI 1.62-1.86), respiratory failure (aOR 1.14, 95% CI 1.10-1.17), and multiorgan failure (aOR 1.84, 95% CI 1.72-1.97), P < 0.0001 for all. Among COVID-19+CLD patients, underlying cirrhosis was associated with even higher risk of these poor outcomes, and higher risk of acute liver decompensation or ACLF. Conclusions: Among one of the largest studies to date evaluating patients with COVID-19 and CLD, underlying CLD is associated with significantly greater risk of poor outcomes following SARS-CoV-2 infection, particularly among cirrhotic patients.
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The dataset provided with this article describes a targeted lipidomics analysis performed on the serum of COVID-19 patients characterized by different degree of severity. As the ongoing pandemic has posed a challenging threat for humanity, the data here presented belong to one of the first lipidomics studies carried out on COVID-19 patients' samples collected during the first pandemic waves. Serum samples were obtained from hospitalized patients with a molecular diagnosis of SARS-CoV-2 infection detected after nasal swab, and categorized as mild, moderate, or severe according to pre-established clinical descriptors. The MS-based targeted lipidomic analysis was performed by MRM using a Triple Quad 5500+ mass spectrometer, and the quantitative data were acquired on a panel of 483 lipids. The characterization of this lipidomic dataset has been outlined using multivariate and univariate descriptive statistics and bioinformatics tools.
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Purpose: A proliferation of articles surrounding the COVID-19 pandemic is calling for new insights through review. This paper aims to bibliometrically analyze the current progress of research around hospitality and tourism to define the research directions on herd immunity and the prevention of disease under the “new normal.” Design/methodology/approach: This paper analyzed 326 articles regarding COVID-19 published in SSCI hospitality, leisure and tourism journals in 2020 and 2021 by combining manual analysis and bibliometrics to reveal research topics and to gain insight into research structures. Findings: The results of this paper summarized topics related to stakeholders’ mentality and behavior, responses of travel suppliers to the COVID-19 pandemic, economic impact and demand forecasting, social issues of human rights and racism and reflection on tourism and transformation of the industry. More research is called for in the future to focus on a better response to the crisis, including crisis management education and training and the improving the resilience of small- and medium-sized enterprises. Research limitations/implications: A three-dimensional consideration was proposed to promote the sustainable development of hospitality and tourism. Originality/value: In the “new normal” phase of herd immunity and disease prevention, to the best of the authors’ knowledge, this is the first paper that provides an up-to-date systematic overview of the evolution of COVID-19 research in tourism and hospitality and encourages more conceptual, practical and futuristic studies. © 2022, Emerald Publishing Limited.
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The immediate repercussions of the pandemic on clinical research were the systematic interruption of ongoing studies and the explosion of tens of thousands of anti-COVID-19 research protocols reported in fragmented, uncoordinated, often technically insufficient international registers, from which almost nothing of significance was produced. In the first two years of intensive research, anti-inflammatory and anticoagulant benefits were identified, while the systemic nature of the viral disease was clearly manifested, but no specific antiviral drugs emerged. Subsequently, monoclonal antibodies and antiviral drugs such as Ritonavir-Boosted Nirmatrelvir (Paxlovid) have given way to more specific therapies, even if surprisingly little used. Finally, the new national Electronic Health Record (EHR-FSE2 Fascicolo Sanitario Elettronico 2 in Italian) was approved as a law, which will integrate the previous one, which is in fact not functional. The systematic, orderly and complete collection of the health data of each citizen constitutes a radical modification of the current National Health System, epidemiology and clinical research.
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Background: The differential effect of comorbidities on COVID-19 severe outcomes by sex has not been fully evaluated. Objective: To examine the association of major comorbidities and COVID-19 mortality in men and women separately. Methods: We performed a retrospective cohort analysis using a large electronic health record (EHR) database in the U.S. We included adult patients with a clinical diagnosis of COVID-19 who also had necessary information on demographics and comorbidities from January 1, 2016 to October 31, 2021. We defined comorbidities by the Charlson Comorbidity Index (CCI) using ICD-10 codes at or before the COVID-19 diagnosis. We conducted logistic regressions to compare the risk of death associated with comorbidities stratifying by sex. Results: A total of 121,342 patients were included in the final analysis. We found significant sex differences in the association between comorbidities and COVID-19 death. Specifically, moderate/severe liver disease, dementia, metastatic solid tumor, and heart failure and the increased number of comorbidities appeared to confer a greater magnitude of mortality risk in women compared to men. Conclusions: Our study suggests sex differences in the effect of comorbidities on COVID-19 mortality and highlights the importance of implementing sex-specific preventive or treatment approaches in patients with COVID-19.