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PurposeThe COVID-19 pandemic has impacted 222 countries across the globe, with millions of people losing their lives. The threat from the virus may be assessed from the fact that most countries across the world have been forced to order partial or complete shutdown of their economies for a period of time to contain the spread of the virus. The fallout of this action manifested in loss of livelihood, migration of the labor force and severe impact on mental health due to the long duration of confinement to homes or residences.Design/methodology/approachThe current study identifies the focus areas of the research conducted on the COVID-19 pandemic. s of papers on the subject were collated from the SCOPUS database for the period December 2019 to June 2020. The collected sample data (after preprocessing) was analyzed using Topic Modeling with Latent Dirichlet Allocation.FindingsBased on the research papers published within the mentioned timeframe, the study identifies the 10 most prominent topics that formed the area of interest for the COVID-19 pandemic research.Originality/valueWhile similar studies exist, no other work has used topic modeling to comprehensively analyze the COVID-19 literature by considering diverse fields and domains.
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Since its inception, the COVID-19 pandemic has affected health care as a whole. Cancer patients in general and those suffering from lung cancer in particular are a vulnerable group because of their many intrinsic characteristics and care needs. How SARS-CoV-2 (COVID-19) infection affects these patients regarding their risk of infection and outcome in this patient cohort is still to be determined. In this review, we tried to summarize our main concerns regarding COVID-19 in the context of cancer patients from a clinical and multidisciplinary approach. Different types of lung cancer treatments (chemotherapy, radiation therapy and immunotherapy) may also influence the risk of infection and condition the patient's risk of having a worse outcome. Lung cancer patients require frequent radiologic study follow-ups, which may be affected by COVID-19 pandemic. COVID-19 related incidental radiologic findings can appear in routinely scheduled radiology tests, which may be difficult to interpret. Also cancer treatment induced pneumonitis may have similar radiologic features similar to those in acute SARS-CoV-2 pneumonia and lead to a wrong diagnosis. The different health care needs, the requirement for continuous health care access and follow-ups, and the clinical traials in which this patient population might be enrrolled are all being affected by the current COVID-19 health crisis. The COVID-19 pandemic has put health care providers and institutions in difficult situations and obliged them to face challenging ethical scenarios. These issues, in turn, have also affected the psychological well-being of health care workers.Copyright © The Author(s) 2021.
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Objectives: A LSR is a systematic review that is continually updated, incorporating new evidence as it becomes available. They are conducted in research areas where new evidence is constantly emerging on diagnostic methods, treatments, and outcomes. The objective of this study was to understand the current application of LSRs across research areas. Method(s): Embase, MEDLINE, and the Cochrane Database of Systematic Reviews were searched to identify LSRs. Only the most recent update of a LSR was included. Data regarding the indication, intervention, methods, frequency of updates, and funding were extracted. Result(s): Of the 1,243 records identified, 126 LSRs were included for analysis. The first LSR was published in 2015, with a significant increase in the number of LSRs published starting in 2020, coinciding with the COVID-19 pandemic. The most common indication represented by LSRs was COVID-19 (72%), followed by oncology (10%). Other indications with LSRs included chronic pain, traumatic brain injury, and skin disorders, among others. While most oncology LSRs identified interventional randomized-controlled trials (RCTs) (85%), only 54% of COVID-19 LSRs were restricted to interventional studies, including a combination of RCTS and real-world observational studies. Oncology LSRs included common cancers such as prostate, renal, or multiple myeloma. Of the reviews that reported update frequency, 28% planned monthly, 12% yearly, and 12% weekly updates. Only 46% of LSRs were registered. The majority of LSRs were funded by government or research organizations. Objectives of LSRs varied, with most stating the need to maintain up-to-date databases;however, several studies used LSRs to facilitate network meta-analysis or mixed treatment comparisons. Conclusion(s): While LSRs were introduced over five years ago, their frequency increased during the COVID-19 pandemic. Apart from COVID-19, LSRs are commonly used in oncology settings. LSRs provide high-level, relevant, and up-to-date evidence, making them a useful tool for clinical and real-world research.Copyright © 2023
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The article aims at exploring the impact of the COVID-19 pandemic on the lay discourses of depression emerging in online mental health forums. The narrative framing of depression plays a central role not only because it affects the instrumental strategies of depressed people (e.g., preferred therapy), but also because it is a constitutive element of the identity of depressed people, thus affects the process of recovery itself. COVID-19 had a serious impact on people living with mental disorders (especially depression and anxiety), thus our research aimed at mapping the consequences of these transformations on a discursive level. A textual dataset of English language online health forums was collected (n = 339,550 publicly available entries posted between 15 February 2016 and 31 December 2020). Structural topic modelling was used to explore the various discursive patterns characterizing the pre-pandemic and pandemic era. Our results show that the pandemic did not take over the discursive space of depression forums, yet it transformed many aspects of it: a new horizon of critique opened up;the biomedical authority was reinforced;the ego-centric perspectives were refined;the previously unquestionable discursive frames become fragmented;and the horizon of emergency overshadowed the previous risk perspective. [ FROM AUTHOR] Copyright of Information, Communication & Society is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Objective: Representing diverse perspectives in medical publications is of great importance. We assessed diversity among investigators, study participants, authors and tweeters of recent publications on COVID-19 vaccine trials, a topic likely to have significant global implications. Research design and methods: Primary publications reporting on COVID vaccine randomized controlled trials (RCTs) were identified via PubMed (n=302 hits, 23 September 2022). The 100 articles with the greatest impact (Altmetric score) were selected for evaluation. National affiliation of authors and investigators, and demographics of participants were collected. Geographic locations of Tweets mentioning the publications were collected via Altmetric. Result(s): In our preliminary analysis, as expected, selected publications most frequently appeared in top-tier journals, e.g. New England Journal of Medicine (n=24) and Lancet (n=19), and had high Altmetric scores (median 886, range 30-29,153). Articles included authors from mean 2.2 countries, most frequently the USA (n=43 articles), the UK (n=31) and China (n=23). Investigators' locations were often not reported, but most frequent were the UK (n=2711 investigators), USA (n=1029) and South Africa (n=269). There was a gender balance among participants across the studies (mean 49.4% female). The most frequent ethnic groups were white, Hispanic and Asian. Tweets mentioning the publications most commonly came from the USA (8.1%), the UK (3.1%) and Japan (2.9%). Conclusion(s): Despite COVID-19 being a global health emergency, most authors, investigators and readers of high impact COVID-19 vaccine RCT publications were from a small group of countries, with some notable exceptions. Numerous studies did not report the geographic location of investigators or participant ethnicity. Consistent and transparent reporting would support the drive towards greater diversity and representation in medical research.
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As COVID-19 persists, a new normal has emerged in our lives and consumption patterns. The rapid rise in demand for online consumption without physical contact is a prime example of this shift. Online platform-based markets have evolved into retail channels, allowing consumers to purchase both search goods and experience goods without contact. The platform provides an environment where customers can encounter a diverse range of customer-generated content (CGC) and gain insights into the purchasing experiences of others. However, despite the growing trading volume and diversification of products traded, relatively few studies exist on purchasing tangible experience goods in the online platform-based market. Therefore, this study investigates the impact of CGC (i.e., content and valence) on the market performance of experience goods, such as sales and sales rank in the platform-based market. We first examine the customer experience-related content in CGC in this market and then investigate the effect of CGC on market performance, such as sales and search ranks. We use crawled data from a platform that sells and rents artwork for empirical analysis. LDA topic modeling findings reveal that CGC has three primary topics (i.e., basic, artist, and style). The regression analysis results show that only style-related content improves performance, whereas basic-related content negatively affects search ranks. The valence of CGC does not significantly impact either performance measure. Additionally, we consider the role of rental services in this market and find that rental volume and search rank have an inverted U-shaped relationship. This study has important implications because it proposes a research framework and empirical model for examining the impact of CGC on performance in the online platform-based market for experience goods. It also has important managerial implications for platforms and sellers looking to enhance their market performance by monitoring CGC.
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Objectives: Severe acute respiratory syndrome-coronavirus 2/COVID-19 infection is still a global concern, with pregnant women are considered as vulnerable population. Until now, the characteristics of pregnant women in Indonesia who are infected with COVID-19, as well as pregnancy and neonatal outcomes, are still unknown. This study aims to obtain national data, which are expected to be useful for the prevention and management of COVID-19 in pregnant women in Indonesia. Method(s): There were 1,427 patients recruited in this retrospective multicenter study. This study involved 11 hospitals in 10 provinces in Indonesia and was carried out using secondary patient data from April 2020 to July 2021. COVID-19 severity was differentiated into asymptomatic-to-mild symptoms and moderate-to-severe symptoms. The collected data include maternal characteristics, laboratory examinations, imaging, pregnancy outcomes, and neonatal outcomes. Result(s): Leukocyte, platelets, basophil, neutrophils segment, lymphocytes, monocytes, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, alanine aminotransferase (ALT), aspartate aminotransferase (AST), C-reactive protein (CRP), urea, and creatinine were found to be significantly associated with severity differences (p < 0.05). Moderate-severe symptoms of COVID-19 also shown to have suggestive pneumonia findings on chest X-ray findings. Patients with asymptomatic-to-mild symptoms had significantly (p < 0.001) higher recovery rate, shorter hospital stay, less intensive care unit (ICU) admission, and had more vaginal delivery. Neonates from mother with mild symptoms also had significantly (p < 0.001) higher survival rate, higher birth weight, and higher APGAR score. Conclusion(s): Several laboratory and radiology components, as well as maternal and neonatal outcomes are related to the severity of COVID-19 in pregnant women in Indonesia.Copyright © The Author(s). 2023.
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As the COVID-19 pandemic swept the globe, social media plat-forms became an essential source of information and communication for many. International students, particularly, turned to Twitter to express their struggles and hardships during this difficult time. To better understand the sentiments and experiences of these international students, we developed the Situational Aspect-Based Annotation and Classification (SABAC) text mining framework. This framework uses a three-layer approach, combining baseline Deep Learning (DL) models with Machine Learning (ML) models as meta-classifiers to accurately predict the sentiments and aspects expressed in tweets from our collected Student-COVID-19 dataset. Using the pro-posed aspect2class annotation algorithm, we labeled bulk unlabeled tweets according to their contained aspect terms. However, we also recognized the challenges of reducing data's high dimensionality and sparsity to improve performance and annotation on unlabeled datasets. To address this issue, we proposed the Volatile Stopwords Filtering (VSF) technique to reduce sparsity and enhance classifier performance. The resulting Student-COVID Twitter dataset achieved a sophisticated accuracy of 93.21% when using the random forest as a meta-classifier. Through testing on three benchmark datasets, we found that the SABAC ensemble framework performed exceptionally well. Our findings showed that international students during the pandemic faced various issues, including stress, uncertainty, health concerns, financial stress, and difficulties with online classes and returning to school. By analyzing and summarizing these annotated tweets, decision-makers can better understand and address the real-time problems international students face during the ongoing pandemic.
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The current outbreak of COVID-19 is caused by the SARS-CoV-2 virus that has affected > 210 countries. Various steps are taken by different countries to tackle the current war-like health situation. In India, the Ministry of AYUSH released a self-care advisory for immunomodulation measures during the COVID-19 and this review article discusses the detailed scientific rationale associated with this advisory. Authors have spotted and presented in-depth insight of advisory in terms of immunomodulatory, antiviral, antibacterial, co-morbidity associated actions, and their probable mechanism of action. Immunomodulatory actions of advised herbs with no significant adverse drug reaction/toxicity strongly support the extension of advisory for COVID-19 prevention, prophylaxis, mitigations, and rehabilitation capacities. This advisory also emphasized Dhyana (meditation) and Yogasanas as a holistic approach in enhancing immunity, mental health, and quality of life. The present review may open-up new meadows for research and can provide better conceptual leads for future researches in immunomodulation, antiviral-development, psychoneuroimmunology, especially for COVID-19.Copyright © 2021, Institute of Korean Medicine, Kyung Hee University.
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Respiratory syncytial virus (RSV) infection remains a major public health problem, especially in younger children and the elderly. But several monoclonal antibodies, antivirals and vaccines, either recently launched or in development, offer new hope for RSV prevention and treatment.Copyright © 2023 Wiley Interface Ltd.
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We conducted a review and evaluated the already documents reports for the relationship among diabetes and COVID-19. The review outcome shows that the COVID-19 severity seems to be greater among patients with diabetes as comorbidity. So, strict glycemic control is imperative in patients infected with COVID-19. Thus, world-wide diabetes burden and COVID-19 pandemic must be deliberated as diabetes increases the COVID-19 severity. Established on this, it is precise significant to follow specific treatment protocols and clinical management in COVID-19 patients affected with diabetes to prevent morbidity and mortality.Copyright © 2023 The Authors.
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Two thousand one hundred and ninety-eight research publications on COVID-19 vaccines in MedRxiv preprint repository during January 01, 2020 and December 31, 2021 were analyzed for topic modelling with unsupervised inference method. Latent Dirichlet Allocation (LDA) method was used to investigate the thematic structure of the preprints. It was observed that the published articles were related to either clinical trials or patient responses to vaccine or modelling for various applications such as infection transmission, vaccine allocation, vaccine hesitancy etc. © 2023, National Institute of Science Communication and Policy Research. All rights reserved.
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SARS-CoV-2 was first detected in December 2019 and rapidly spread to become a pandemic. The disease associated with this infection (COVID-19) disproportionally affect pregnant people and their offspring, making them a high-risk group for morbidity and mortality. Infection with SARS-CoV-2 in pregnancy is associated with increased risk of progression to severe/critical disease and maternal death. It is also associated with adverse pregnancy outcomes including hypertensive disorders and prematurity. While vaccination is one of the most effective approaches to stem the COVID-19 pandemic, pregnant people were originally excluded from all randomized vaccine trials. Following studies examining the effects of COVID vaccine in pregnancy have focused on three general areas: maternal and fetal antibody production, short-term fetal safety, and overall pregnancy outcomes. In this presentation, we will summarize the COVID-19 disease phenotype in pregnancy, describe the association between COVID-19 and adverse pregnancy outcomes, and describe the safety and efficacy of COVID-19 therapeutics and vaccines in pregnancy.
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Lung cancer is the most common cancer in males and the second most common among females both in Europe and worldwide. Moreover, lung cancer is the leading cause of death due to cancer in males. The European region accounts for 23% of total cancer cases and 20% of cancer-related deaths. Relationships have been described between a number of infectious agents and cancers, but our knowledge of the role of viruses, both respiratory and systemic, in the pathogenesis of lung cancer is still rudimentary and has been poorly disseminated. In this chapter, we review the available evidence on the involvement of HPV, Epstein-Barr virus, HIV, cytomegalovirus and measles virus in the epidemiology and pathogenesis of lung cancer.Copyright © ERS 2021.
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Worldwide, infectious diseases have contributed significantly to morbidity and mortality;among the leading causes of death are pneumonia, respiratory infections and Covid-19. Stem cell therapy will be used to treat virus-infected patients in an effective and safe manner. A cross-sectional questionnaire was used to collect data from doctors. Most doctors are aware of the applications of stem cells, but they do not confirm their usage because clinical trials are ongoing. Instead, they show support for using stem cells to treat patients. Stem cells have been hoping to help repair damaged tissues in the respiratory system to promote faster recovery. Stem Cells are being studied in current clinical trials for their efficacy and safety in virus severe pneumonia and respiratory infections. The doctors suggested that stem cells have been used in infectious diseases to improve their health.Copyright © 2023 Health Biotechnology And Biopharma. All rights reserved.
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PurposeHow to extract useful information from a very large volume of literature is a great challenge for librarians. Topic modeling technique, which is a machine learning algorithm to uncover latent thematic structures from large collections of documents, is a widespread approach in literature analysis, especially with the rapid growth of academic literature. In this paper, a comparison of topic modeling based literature analysis has been done using full texts and s of articles.Design/methodology/approachThe authors conduct a comparison study of topic modeling on full-text paper and corresponding to assess the influence of the different types of documents been used as input for topic modeling. In particular, the authors use the large volumes of COVID-19 research literature as a case study for topic modeling based literature analysis. The authors illustrate the research topics, research trends and topic similarity of COVID-19 research by using Latent Dirichlet allocation (LDA) and topic visualization method.FindingsThe authors found 14 research topics for COVID-19 research. The authors also found that the topic similarity between using full-text paper and corresponding is higher when more documents are analyzed.Originality/valueFirst, this study contributes to the literature analysis approach. The comparison study can help us understand the influence of the different types of documents on the results of topic modeling analysis. Second, the authors present an overview of COVID-19 research by summarizing 14 research topics for it. This automated literature analysis can help specialists in the health and medical domain or other people to quickly grasp the structured morphology of the current studies for COVID-19.
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The current COVID-19 pandemic has generated a relevant changes in the normal development of human performance. Some changes detected in SARS-CoV-2 infected people have to do with possible effects of the infection in the bio-psycho-social sphere. The population in the Autonomous Community of the Canary Islands has not been oblivious to it and, therefore, a need demanded by society has roared. A multicentre observational study will be carried out to assess the physical and functional status of people from the Canary Islands who, after being infected with the SARS-CoV-2 virus, suffer sequelae that persist after twelve weeks of infection. With help from the Official Association of Physiotherapists of the Canary Islands a call will be made to the population. This association will oversee the dissemination of the information and will recruit among its members the collaborating/evaluating physiotherapists, also ensuring the protection and preservation of the data to be collected. People meeting the established criteria will be referred to the more accessible collaborating centre of the canarian community, where, after a preliminary interview, participating patients will self-complete scientifically validated questionnaires, and will be subjected to different validated tests to evaluate their physical and functional status. Patients will be individually informed of the results of their evaluation, and they will receive a dossier with individualized recommendations. After this evaluation, a follow-up of the participants for up to 6 months is anticipated. Data will be recorded, analysed, and interpreted, and the results will be disseminated through conventional means of communication to society and also by attempting publication in scientific journals.