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The outbreak of COVID-19 makes people feel distant from each other, and masks have become one of the indispensable articles in People's Daily life. At present, there are many brands of masks with various types and uneven quality. In order to understand the current market of masks and the sales of different brands, users can choose masks with perfect quality. This paper uses Python web crawler technology, based on the input of the word "mask", crawl JD website sales data, through data visualization technology drawing histogram, pie chart, the word cloud, etc., for goods compared with the relationship between price, average price of all brands, brands, average distribution of analysis and evaluation of user information, In this way, the sales situation, price distribution and quality evaluation of each store of the product can be visually displayed. At the same time, it also provides some reference for other users who need to buy the product. © The Authors. Published under a Creative Commons Attribution CC-BY 3.0 License.
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With the development and progress of intelligent algorithms, more and more social robots are used to interfere with the information transmission and direction of international public opinion. This paper takes the agenda of COVID-19 in Twitter as the breakthrough point, and through the methods of web crawler, Twitter robot detection, data processing and analysis, aims at the agenda setting of social robots for China issues, that is, to carry out data visualization analysis for the stigmatized China image. Through case analysis, concrete and operable countermeasures for building the international communication system of China image were provided. © 2022 IEEE.
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In order to comprehensively understand the research hotspots and development trends of Lonicera Japonica Flos in the past 20 years, and to provide intuitive data reference and objective opinions and suggestions for subsequent related research in this field, this study collected 8 871 Chinese literature and 311 English literature related to Lonicera Japonica Flos research in the core collection databases of Wanfang Data), CNKI and Web of Science (WOS) from 2002 to 2021, and conducted bibliometric and visual analysis using vosviewer. The results showed that the research on the active components of Lonicera Japonica Flos based on phenolic acid components, the research on the mechanism of novel coronavirus pneumonia based on data mining and molecular docking technology, and the pharmacological research on the anti-inflammatory and antiviral properties of Lonicera Japonica Flos are the three hot research directions in the may become the future research direction. In this paper, we analyze the research on Lonicera Japonica Flos from five aspects: active ingredients, research methods, formulation and preparation, pharmacological effects and clinical applications, aiming to reveal the research hotspots, frontiers and development trends in this field and provide predictions and references for future research.Copyright © Drug Evaluation Research 2022.
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[Background] The COVID-19 pandemic hints at the importance of modernizing disease control system. To understand the scientific research strength of our country's disease control system in recent years is conducive to formulating more targeted policies or measures to promote the modernization of the disease control system. [Objective] To understand the scientific research strength and research hotspots of China's provincial-level centers for disease control and prevention (CDCs) from 2011 to 2020, and provide evidence for the development of scientific research work, discipline construction, and talent team construction in CDCs in the future. [Methods] The Science Citation Index Expanded (SCIE) and Social Science Citation Index (SSCI) of the Web of Science Core Collection were used to retrieve SCI-indexed English papers published by 31 provincial CDCs (excluding Taiwan Province, Hong Kong and Macau Special Administrative Regions) in our country from 2011 to 2020, and to screen literature with provincial CDCs as the first affiliation for bibliometric analysis and visual analysis. Bibliometric analysis included the SCI-indexed publications of different provincial CDCs (as co-affiliation and the first affiliation), the number of SCI-indexed papers published by provincial CDCs (as the first affiliation) and funding rates by years, the high-frequency authors of SCI-indexed papers published by provincial CDCs (as the first affiliation) and their distribution, and the characteristics of the journals. Visual analysis software Citespace 5.8.R1 was used to draw keyword co-occurrence maps, cluster information tables, and emergence maps to provide information on research hotspots and their evolution. [Results] From 2011 to 2020, the number of SCI-indexed papers from 31 provincial CDCs was 8 420 (including co-affiliation), of which 2 060 papers listed provincial CDCs as the first affiliation. The provincial CDCs of Zhejiang, Jiangsu, Shanghai, Beijing, Shandong, and Guangdong were the leading six institutes in terms of the total number of SCI-indexed papers contributed as co-affiliation or the first affiliation. There was a large gap in the total number of SCI-indexed papers among the provincial CDCs. The highest total number of SCI-indexed papers contributed by provincial CDCs as the first affiliation was Zhejiang CDC (448 papers), while the lowest number was Xinjiang CDC (only 1 paper). From 2011 to 2020, the total number of SCI-indexed papers contributed by the 31 provincial CDCs as the first affiliation showed an overall increasing trend. Except for 2011, which was 63.1%, the funding rates in other years exceeded 70%. In terms of high-frequency authors, 13 first authors published >=10 SCI-indexed papers: Zhang Yingxiu from Shandong CDC had the highest number of SCI-indexed papers (47), followed by Hu Yu from Zhejiang CDC. Zhejiang, Jiangsu, Beijing, Guangdong, Shanghai, and Shandong still ranked the top six of >=4 first authored-SCI papers. In terms of journal characteristics, the top 20 journals with the highest number of SCI papers published a total of 862 papers, accounting for 41.8% (862/2 060), and PLOS ONE ranked the first (188 papers). The research hotspots were mainly concentrated in the fields of infection, child health, and epidemiology. The main keywords of the first three cluster categories were related to the research fields of adolescent overweight and obesity, HIV, and vaccine immunity. The results of keyword emergence showed that research hotspots shifted from overweight, obesity, and body mass index to antibodies, vaccines/vaccination, and cohorts. [Conclusion] The past ten years have witnessed increasing numbers of SCI-indexed papers published by provincial CDCs in our country and a stubbornly high funding rate. However, the gap among the provincial CDCs is still large seeing that economically developed eastern provincial CDCs published more SCI-indexed papers. Research hotspots have gradually shifted from overweight, obesity, and body mass index to antibodies, vaccines/vaccination, and cohorts.Copyright © 022 Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.
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OBJECTIVE To analyze the current situation and development trend of Xuebijing injection research based on relevant literature of clinical research on Xuebijing injection, and to provide a reference for subsequent studies. METHODS The literature related to the clinical study of Xuebijing injection was searched from CNKI, Wanfang V2.0, VIP Chinese Journal Service platform, and SinoMed (China Biomedical Literature Service System) for the period from the establishment of the database to March 2022. CiteSpace 5.8.R3 was used to analyze the research hotspots, perform cluster analysis, build knowledge graphs, organize the statistical and visual analysis of the diseases, syndrome types, and drug combinations involved in the literature, and explore the cross-sectional association among the studies by using bibliometric methods. RESULTS The final included literature was 2253 articles. In recent years, the amount of literature published in this field tends to be stable, and a relatively stable core team has been formed, but there is less cooperation among research teams, sepsis and pneumonia are the current research hotspots. The main clinical diseases treated by Xuebijing injection involve 19 categories, with a wide therapeutic scope, and the main syndrome type of treatment syndrome is blood stasis syndrome, which is mostly combined with related drugs and therapies in disease treatment. The efficacy is significantly improved after intervention for severe COVID-19, but the quality of relevant literature is generally low. CONCLUSION Xuebijing injection has high research interest, diversified and detailed research direction, and has extensive clinical application. It has an outstanding therapeutic effect in the treatment of critical illness type of disease, and the combination with related drugs and therapies is universal in the treatment of the disease. It has a significant curative effect in the treatment of severe COVID-19, and has a promising clinical application. © 2022 IEEE.
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Public health events are sudden, public in nature and have serious social hazards. The COVID-19 outbreak coincided with the Lunar New Year, which had a direct or indirect impact on all areas of society. Previous studies related to emergencies have found that a considerable number of college students lacked experience in dealing with emergencies, were not emotionally stable enough, lacked analysis and decision-making ability, were easily suggestible and acted more impulsively. Therefore, in this paper, based on the existing actual information, combined with the awareness and understanding of college students' mental health, and based on the existing research results, the Hopfield-mental health model is used as a theoretical basis to study the trend of changes in college students' mental health. The results of the study show that 83.21% of the people are more concerned about the situation of this new crown pneumonia epidemic and they think that the new crown epidemic has seriously affected their living habits;65.45% thought that this new crown pneumonia epidemic did not have any major impact on their school life. The five sources of psychological stress, including academic, employment, economic, interpersonal relationship and love, were calculated and analysed in the model, which showed that employment stress, academic stress and economic stress were the largest sources of psychological stress among college students in this new pneumonia epidemic, accounting for 89%, 81% and 93%, respectively. They were followed by interpersonal and romantic stress, with 31% and 52%, respectively. © 2022 Liping Zhang.
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PurposeThis study aims to review the progress of research on artificial intelligence (AI) relating to the hospitality and tourism industry, focusing on the content, focal points, key terms and trends of AI research.Design/methodology/approachA total of 491 referred papers are selected from the Web of Science core collection database. These papers, published in the past 30 years (1991–2021), are analyzed by using Gephi and VOSviewer software.FindingsAI research shows a growing trend since 1991, and the number of publications and citations increased significantly since 2018, indicating that AI became a focus for researchers. AI studies are grouped into four clusters, namely, AI technology, technology acceptance, customers' perception and future trends. The research focus changed from AI technology in the early stage to customers' attitudes toward and willingness to accept AI.Research limitations/implicationsThe findings contribute to advance knowledge development, identify research gaps and shed light on future research. The results offer practical enlightenment for governments, tourism destinations and hospitality organization.Practical implicationsThe results offer practical enlightenment for governments, tourism destinations and hospitality organization.Originality/valueThis study is the initial attempt to provide a systematic review of AI research relating to the tourism and hospitality fields.
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Objective To analyze the research status and development trend of evidence-based social sciences, and to explore the synergistic relationship among branches of various fields. Methods A comprehensive search for research related to evidence-based social sciences published between the establishment of the database and September 2022 was conducted on the Web of Science, China Science Citation Database (CSCD), and Chinese Social Sciences Citation Index (CSSCI). The VOSviewer software was used to analyze the author and keywords and to perform the visualization. Results A total of 6 969 papers were included, 195 of which were in Chinese. The first paper, published in 1995, was on evidence-based management. The number of papers published on evidence-based social science research presented a trend of increasing continuously. The country with the most papers published was the United States;the institution outside China with the most papers published was McMaster University;and the institution in China with the most papers published was Sichuan University. The analysis of keywords showed that evidence-based policy, evidence-based practice, evidence-based management, and evidence-based decision-making appeared more frequently;research questions focused on evidence-based health policy development, application of big data in the context of COVID-19, evidence of climate change-induced disease, and real world research. Conclusion All the fields of evidence-based social sciences are closely related to each other in terms of research content and methods, and it presents a multi-level and multi-field crossover with evidence-based medicine. However, evidence-based social sciences in China are still in their infancy. Therefore, it is necessary to improve the methodological system of evidence-based social sciences, enrich the research content of social sciences, speed up the filling of evidence gaps in various fields, and promote the improvement and sustainable development of evidence-based social sciences.Copyright © 2023 West China University of Medical Science. All rights reserved.
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Seniors, in order to be able to fight loneliness, need to communicate with other people and be engaged in activities to keep their minds active to increase their social capital. There is an intensified interest in the development of social virtual reality environments, either by commerce or by academia, to address the problem of social isolation of older people. Due to the vulnerability of the social group involved in this field of research, the need for the application of evaluation methods regarding the proposed VR environments becomes even more important. The range of techniques that can be exploited in this field is constantly expanding, with visual sentiment analysis being a characteristic example. In this study, we introduce the use of image-based sentiment analysis and behavioural analysis as a technique to assess a social VR space for elders and present some promising preliminary results.
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Sentiment Analysis , Virtual Reality , Humans , Aged , Loneliness , Social IsolationABSTRACT
Background: The pandemic of COVID-19 has had a profound influence on worldwide healthcare systems. Our study aimed to conduct a bibliometric analysis to explore the impact of COVID-19 on stroke and to highlight the major research trends in this field. Methods: We searched the original articles and review articles regarding COVID-19 and stroke from the Web of Science collection (WOSCC) database between January 1, 2020 and December 30, 2022. Subsequently, we performed bibliometric analyses and visualization using VOSviewer, Citespace, and Scimago Graphica. Results: A total of 608 original articles or review articles were included. JOURNAL OF STROKE and CEREBROVASCULAR DISEASES published the most studies on this subject (n = 76), while STROKE was the source of the most-cited references (n = 2,393). The United States is the most influential country in this field, with the highest number of publications (n = 223) and citations (n = 5,042). Shadi Yaghi from New York University is the most prolific author in the field, while Harvard Medical School is the most prolific institution. In addition, through keyword analysis and reference co-citation analysis, three major research topics were identified: (i) the impact of COVID-19 on stroke outcomes (including risk factors, clinical characteristics, mortality, stress, depression, comorbidities, etc.); (ii) the management and care of stroke patients during the COVID-19 pandemic (including thrombolysis, thrombectomy, telemedicine, anticoagulation, vaccination, etc.); and (iii) the potential relationship and pathological mechanism between COVID-19 and stroke (including renin-angiotensin system activation, SARS-CoV-2 virus-induced inflammation leading to endothelial impairment, coagulopathy, etc.). Conclusion: Our bibliometric analysis provides a comprehensive overview of the current state of research on COVID-19 and stroke and highlights key areas of focus in the field. Optimizing the treatment of COVID-19-infected stroke patients and elucidating the underlying pathogenic mechanisms of COVID-19 and stroke co-morbidity are key areas of future research that will be beneficial in improving the prognosis of stroke patients during the ongoing COVID-19 epidemic.
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Exploratory data analysis tools designed to measure global and local spatial autocorrelation (e.g. Moran's (Formula presented.) statistic) have become standard in modern GIS software. However, there has been little development in amending these tools for visualization and analysis of patterns captured in spatio-temporal data. We design and implement an exploratory mapping tool, VASA (Visual Analysis for Spatial Association), that streamlines analytical pipelines in assessing spatio-temporal structure of data and enables enhanced visual display of the patterns captured in data. Specifically, VASA applies a set of cartographic visual variables to map local measures of spatial autocorrelation and helps delineate micro and macro trends in space-time processes. Two visual displays are presented: recency and consistency map and line-scatter plots. The former combines spatial and temporal data view of local clusters, while the latter drills down on the temporal trends of the phenomena. As a case study, we demonstrate the usability of VASA for the investigation of mobility patterns in response to the COVID-19 pandemic throughout 2020 in the United States. Using daily county-level and grid-level mobility metrics obtained from three different sources (SafeGraph, Cuebiq, and Mapbox), we demonstrate cartographic functionality of VASA for a swift exploratory analysis and comparison of mobility trends at different regional scales. © 2023 Cartography and Geographic Information Society.
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Purpose: The aim of this study is to undertake a systematic analysis of the supply chain literature to uncover the changes and patterns of international cooperation in the context of the COVID-19 pandemic. Design/methodology/approach: In this study, the information on supply chain-related publications in the Web of Science (WOS) database is analyzed using statistical techniques and visual approaches. The focus is on the five countries with the highest number of supply chain publications, accounting for approximately 70% of global publications. This in-depth analysis aims to provide a clearer understanding of the cooperation patterns and their impact on the supply chain during the COVID-19 pandemic. Findings: The results of the study reveal that the growth rate of international cooperation in supply chain research during the COVID-19 pandemic is higher compared to the 5-year and 10-year periods before the pandemic. This suggests that the pandemic has not hindered international cooperation in the field, but instead has increased collaboration. In terms of international cooperation patterns, the findings indicate that China and the USA have a strong partnership, with China being the largest partner for the USA and vice versa. The UK's largest partner is China, India's largest partner is the UK and Italy's largest partner is also the UK. This implies that trade, rather than the pandemic, is a determining factor in supply chain research. Research limitations/implications: This study examines the patterns of international cooperation in supply chain research during the COVID-19 pandemic, providing insights into the changes and mechanisms of international cooperation in this field. Moreover, the results of this study may offer practical benefits for supply chain operators and managers. By providing a deeper understanding of the international cooperation patterns in the field, this research could contribute to the recovery and growth of the global supply chain. Social implications: This study's analysis of the impact of crisis events, such as the COVID-19 pandemic, on international cooperation in supply chain research contributes to the theoretical development of the field. Additionally, by examining how academia responds to emergencies, it provides valuable insights for operations and supply chain managers in their pursuit of more effective supply chain management. Originality/value: This study provides a preliminary examination of the international cooperation patterns of supply chain research in the context of the COVID-19 pandemic, representing a novel and early contribution to the existing literature, helping to expand upon current understanding in the field and provide a more comprehensive perspective. Furthermore, this study offers a practical analysis strategy for future supply chain research, fostering progress and growth in the field. © 2023, Emerald Publishing Limited.
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Objective To analyze the research status and development trend of evidence-based social sciences, and to explore the synergistic relationship among branches of various fields. Methods A comprehensive search for research related to evidence-based social sciences published between the establishment of the database and September 2022 was conducted on the Web of Science, China Science Citation Database (CSCD), and Chinese Social Sciences Citation Index (CSSCI). The VOSviewer software was used to analyze the author and keywords and to perform the visualization. Results A total of 6 969 papers were included, 195 of which were in Chinese. The first paper, published in 1995, was on evidence-based management. The number of papers published on evidence-based social science research presented a trend of increasing continuously. The country with the most papers published was the United States;the institution outside China with the most papers published was McMaster University;and the institution in China with the most papers published was Sichuan University. The analysis of keywords showed that evidence-based policy, evidence-based practice, evidence-based management, and evidence-based decision-making appeared more frequently;research questions focused on evidence-based health policy development, application of big data in the context of COVID-19, evidence of climate change-induced disease, and real world research. Conclusion All the fields of evidence-based social sciences are closely related to each other in terms of research content and methods, and it presents a multi-level and multi-field crossover with evidence-based medicine. However, evidence-based social sciences in China are still in their infancy. Therefore, it is necessary to improve the methodological system of evidence-based social sciences, enrich the research content of social sciences, speed up the filling of evidence gaps in various fields, and promote the improvement and sustainable development of evidence-based social sciences.Copyright © 2023 West China University of Medical Science. All rights reserved.
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Objective To analyze the research status and development trend of evidence-based social sciences, and to explore the synergistic relationship among branches of various fields. Methods A comprehensive search for research related to evidence-based social sciences published between the establishment of the database and September 2022 was conducted on the Web of Science, China Science Citation Database (CSCD), and Chinese Social Sciences Citation Index (CSSCI). The VOSviewer software was used to analyze the author and keywords and to perform the visualization. Results A total of 6 969 papers were included, 195 of which were in Chinese. The first paper, published in 1995, was on evidence-based management. The number of papers published on evidence-based social science research presented a trend of increasing continuously. The country with the most papers published was the United States;the institution outside China with the most papers published was McMaster University;and the institution in China with the most papers published was Sichuan University. The analysis of keywords showed that evidence-based policy, evidence-based practice, evidence-based management, and evidence-based decision-making appeared more frequently;research questions focused on evidence-based health policy development, application of big data in the context of COVID-19, evidence of climate change-induced disease, and real world research. Conclusion All the fields of evidence-based social sciences are closely related to each other in terms of research content and methods, and it presents a multi-level and multi-field crossover with evidence-based medicine. However, evidence-based social sciences in China are still in their infancy. Therefore, it is necessary to improve the methodological system of evidence-based social sciences, enrich the research content of social sciences, speed up the filling of evidence gaps in various fields, and promote the improvement and sustainable development of evidence-based social sciences. © 2023 West China University of Medical Science. All rights reserved.
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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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This article presents original findings from a longitudinal qualitative study on changes in individual and family life associated with safety and health measures implemented during the COVID-19 pandemic in three regions of Chile. We developed a methodological approach based on multimodal diaries in a mobile application, in which participants submitted photographs and texts to express changes in their daily lives under residential confinement. Content and semiotic visual analyses show a significant loss in instances of collective recreation, partially compensated through new personal and productive activities performed at home. Our results suggest that modal diaries serve as potential tools to capture people's perceptions and meanings as their lives go through exceptional and traumatic times. We assert that using digital and mobile technologies in qualitative studies could allow subjects to actively participate in the co-construction of fieldwork and produce quality knowledge from their situated perspectives. Supplementary Information: The online version contains supplementary material available at 10.1007/s11133-023-09531-z.
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BACKGROUND: This study aims to identify the characteristics and future directions of online medical education in the context of the novel coronavirus outbreak new through visual analytics using CiteSpace and VOSviewer bibliometric methods. METHOD: From Web of Science, we searched for articles published between 2020 and 2022 using the terms online education, medical education and COVID-19, ended up with 2555 eligible papers, and the articles published between 2010 and 2019 using the terms online education, medical education and COVID-19, and we ended up with 4313 eligible papers. RESULTS: Before the COVID-19 outbreak, Medical students and care were the most frequent keywords and the most cited author was BRENT THOMA with 18 times. The United States is the country with the greatest involvement and research impact in the field of online medical education. The most cited journal is ACAD MED with 1326 citations. After the COVID-19 outbreak, a surge in the number of research results in related fields, and ANXIETY and four secondary keywords were identified. In addition, the concentration of authors of these publications in the USA and China is a strong indication that local epidemics and communication technologies have influenced the development of online medical education research. Regarding the centrality of research institutions, the most influential co-author network is Harvard Medical School in the United States; and regarding the centrality of references, the most representative journal to which it belongs is VACCINE. CONCLUSION: This study found that hey information such as keywords, major institutions and authors, and countries differ in the papers before and after the COVID-19 outbreak. The novel coronavirus outbreak had a significant impact on the online education aspect. For non-medical and medical students, the pandemic has led to home isolation, making it difficult to offer face-to-face classes such as laboratory operations. Students have lost urgency and control over the specifics of face-to-face instruction, which has reduced the quality of teaching. Therefore, we should improve our education model according to the actual situation to ensure the quality of teaching while taking into account the physical and psychological health of students.
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COVID-19 , Education, Distance , Education, Medical , Humans , COVID-19/epidemiology , Pattern Recognition, Automated , SARS-CoV-2ABSTRACT
PURPOSE: This study was performed to evaluate trends in and provide future direction for anesthesiology education, research, and clinical practice. METHODS: We collected high-impact papers, ranking in the top 10% in the field of anesthesiology and published from 2011 to 2020, by the InCites tool based on the Web of Science Core Collection. We analyzed the trends, locations, distribution of subject categories, research organizations, collaborative networks, and subject terms of these papers. RESULTS: A total of 4,685 high-impact papers were included for analysis. The number of high-impact papers increased from 462 in 2011 to 520 in 2020. The paper with the highest value of category normalized citation impact (115.95) was published in Anesthesia and Analgesia in 2018. High-impact papers were mainly distributed in the subject categories of "Anesthesiology," "Clinical Neurology," "Neurosciences," and "Medicine General Internal." They were primarily cited in "Anesthesiology," "Clinical Neurology," "Neurosciences," "Medicine General Internal," and "Surgery." Most of these high-impact papers came from the USA, UK, Canada, Germany, and Australia. The most productive institutions were the League of European Research Universities, Harvard University, University of Toronto, University of London, University of California System, and University Health Network Toronto. Research collaboration circles have been formed in the USA, UK, and Canada. Subject-term analysis indicated postoperative analgesia, chronic pain, and perioperative complications were high-interest topics, and COVID-19 became a new hot topic in 2020. CONCLUSIONS: The current study provides a historical view of high-impact papers in anesthesiology in the past ten years. High-impact papers were mostly from the USA. Postoperative analgesia, chronic pain, and perioperative complications have been hot topics, and COVID-19 became a new topic in 2020. These findings provide references for education, research, and clinical practice in the field of anesthesiology.
RéSUMé: OBJECTIF: Cette étude a été réalisée pour évaluer les tendances et fournir une orientation future à l'enseignement, la recherche et la pratique clinique en anesthésiologie. MéTHODE: Nous avons colligé des articles à fort impact, classés dans le top 10 % dans le domaine de l'anesthésiologie et publiés de 2011 à 2020, par l'outil InCites basé sur la Web of Science Core Collection. Nous avons analysé les tendances, les emplacements, la répartition des catégories de sujets, les organismes de recherche, les réseaux de collaboration et les termes des sujets de ces articles. RéSULTATS: Au total, 4685 articles à fort impact ont été inclus pour analyse. Le nombre de manuscrits à fort impact est passé de 462 en 2011 à 520 en 2020. L'article ayant la valeur la plus élevée de l'impact normalisé des citations de catégorie (CNCI) (115,95) a été publié dans la revue Anesthesia and Analgesia en 2018. Les articles à fort impact ont été principalement distribués dans les catégories de thèmes « Anesthésiologie ¼, « Neurologie clinique ¼, « Neurosciences ¼ et « Médecine générale interne ¼. Ils ont été principalement cités dans les catégories « Anesthésiologie ¼, « Neurologie clinique ¼, « Neurosciences ¼, « Médecine générale interne ¼ et « Chirurgie ¼. La plupart de ces articles à fort impact provenaient des États-Unis, du Royaume-Uni, du Canada, d'Allemagne et d'Australie. Les établissements les plus productifs étaient la League of European Research Universities, l'Université Harvard, l'Université de Toronto, l'Université de Londres, l'Université de Californie System et le University Health Network de Toronto. Des cercles de collaboration en recherche ont été formés aux États-Unis, au Royaume-Uni et au Canada. L'analyse des termes indiquait que l'analgésie postopératoire, la douleur chronique et les complications périopératoires étaient des sujets suscitant un fort intérêt, et la COVID-19 est devenue un nouveau sujet brûlant en 2020. CONCLUSION: La présente étude propose une vue historique des articles à fort impact en anesthésiologie au cours des dix dernières années. Les manuscrits à fort impact provenaient principalement des États-Unis. L'analgésie postopératoire, la douleur chronique et les complications périopératoires ont été des sujets d'actualité, et la COVID-19 est devenue un nouveau sujet en 2020. Ces résultats fournissent des références pour la formation, la recherche et la pratique clinique dans le domaine de l'anesthésiologie.
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AIM: To explore the perceptions of the COVID-19 pandemic, as expressed in the drawings of Swedish children aged 4-6 years. METHODS: We analysed 91 drawings with associated descriptions submitted to the Swedish Archive of Children's Art from April 2020 to February 2021. RESULTS: The visual and text analysis resulted in three themes. First, illustrating the virus and embodying the danger showed that young children understood the invisible enemy, combining realistic elements of the virus particle with fantasies of the 'virus monster' that needs to be fought off. Second, life has changed for the worse describes the profound effect the pandemic had on young children's lives also in Sweden, with comparatively mild restrictions and no school closures. Third, the virus spreads across the world, affects people and infects their bodies conveys young children's understanding of the pandemic as an existential challenge affecting the whole world. Children displayed surprisingly high levels of health literacy related to COVID-19, including contagion routes and the importance of hand hygiene. CONCLUSION: The drawings of Swedish children aged 4-6 years demonstrated the profound, practical and emotional effects of the pandemic on their lives. Drawings also illuminated young children's level of health literacy regarding COVID-19.
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COVID-19 , Humans , Child , Child, Preschool , COVID-19/epidemiology , Pandemics , Sweden/epidemiology , SchoolsABSTRACT
Supply Chain Resilience (SCR), which is the capacity to return the supply chain to its starting condition, which is necessary when the system is compromised by hazards (externally), is one of the most critical supply chain management concerns in the worldwide post-COVID-19 era. This article aims to examine influential journals, publication types, research headings, scholars, and citation metrics in the SCR field, to assist researchers globally in better understanding the knowledge map of the subject and identifying frontiers. The findings indicate that SCR is an important and widespread issue in the post-COVID-19 era, with 2,278 articles published on the Web of Science over the study period. Tableau Public was used in data analytics during the research period. The finding of this research is that (1) the majority of publications were published in SCIE and/or SSCI. (2) The journal-published papers were easier than book, conference, and series publications. (3) Future researchers will be able to conduct more in-depth research on the Multi-topics of SCR, such as people, COVID-19, the food supply chain, and the service industry. (4) Numerous researchers have already participated in SCR-related research, establishing a solid academic community research foundation. This is a review of SCR research and research ideas to complete a future study on the resilience of China's agricultural product supply chain. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.