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Aim: The paper presents a bibliometric analysisis of high-cited papers (HCPs) on Covid-19 published during 2019-2021. The study provides evidence on current research trends in the subject, identifies influential countries, organizations, research papers and journals on Covid-19 research. The study evaluates publication and citation performance of highly-cited papers and maps network interactions amongst the key global players using VOSviewer software. Materials and Methods: The data for the study was sourced from Web of Science for the period 2019-2021. Results: The USA, China and the UK dominate global Covid-19 research in terms of research productivity. In terms of citation performance China leads the tally with the USA at the second position. The USA, China and the UK account for a 88% share of total HCPs in the subject. The study identified top eleven centers of excellence based on the criteria of most productivity as well as most-cited organizations. New England Journal of Medicine, Lancet, JAMA - Journal of the American Medical Association, Science and Nature are the most favoured journals for publishing HCPs. The relationship networks of most productive countries, organizations, and keywords are also given in the paper. [ABSTRACT FROM AUTHOR]

Coronavirus disease 2019 (COVID-19) first emerged in China in November 2019. Most governments have responded to the COVID-19 pandemic by imposing a lockdown. Some evidence suggests that a period of isolation might have led to a spike in alcohol misuse, and in the case of patients with alcohol use disorder (AUD), social isolation can favour lapse and relapse. The aim of our position paper is to provide specialists in the alcohol addiction field, in psychopharmacology, gastroenterology and in internal medicine, with appropriate tools to better manage patients with AUD and COVID-19,considering some important topics: (a) the susceptibility of AUD patients to infection; (b) the pharmacological interaction between medications used to treat AUD and to treat COVID-19; (c) the reorganization of the Centre for Alcohol Addiction Treatment for the management of AUD patients in the COVID-19 era (group activities, telemedicine, outpatients treatment, alcohol-related liver disease and liver transplantation, collecting samples); (d) AUD and SARS-CoV-2 vaccination. Telemedicine/telehealth will undoubtedly be useful/practical tools even though it remains at an elementary level; the contribution of the family and of caregivers in the management of AUD patients will play a significant role; the multidisciplinary intervention involving experts in the treatment of AUD with specialists in the treatment of COVID-19 disease will need implementation. Thus, the COVID-19 pandemic is rapidly leading addiction specialists towards a new governance scenario of AUD, which necessarily needs an in-depth reconsideration, focusing attention on a safe approach in combination with the efficacy of treatment. [ABSTRACT FROM AUTHOR]

According to a recent World Health Organization estimate, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, which originated in China in 2019, has spread globally, infecting nearly 100 million people worldwide by January 2021. Patients with chronic liver diseases (CLD), particularly cirrhosis, hepatobiliary malignancies, candidates for liver transplantation, and immunosuppressed individuals after liver transplantation appear to be at increased risk of infections in general, which in turn translates into increased mortality. This is also the case for SARS-CoV-2 infection, where patients with cirrhosis, in particular, are at high risk of a severe COVID-19 course. Therefore, vaccination against various pathogens including SARS-CoV-2, administered as early as possible in patients with CLD, is an important protective measure. However, due to impaired immune responses in these patients, the immediate and long-term protective response through immunisation may be incomplete. The current SARS-CoV-2 pandemic has led to the exceptionally fast development of several vaccine candidates. A small number of these SARS-CoV-2 vaccine candidates have already undergone phase III, placebo-controlled, clinical trials in healthy individuals with proof of short-term safety, immunogenicity and efficacy. However, although regulatory agencies in the US and Europe have already approved some of these vaccines for clinical use, information on immunogenicity, duration of protection and long-term safety in patients with CLD, cirrhosis, hepatobiliary cancer and liver transplant recipients has yet to be generated. This review summarises the data on vaccine safety, immunogenicity, and efficacy in this patient population in general and discusses the implications of this knowledge on the introduction of the new SARS-CoV-2 vaccines. [ABSTRACT FROM AUTHOR]

The three challenges with the greatest bearing on Australia's security and prosperity each came to a head in 2020, viz. climate change; a novel coronavirus pandemic; and China. The world has become poorer, more dangerous and more disorderly. As we emerge from this crisis year, Australia's ability to project itself globally will start with its strength and vitality at home. Its favourable geography gives it the potential to become a leader in renewables. Given our geopolitical challenges, this is a strategic imperative. Yet, for now, the gap between reality and expectations has never been greater. [ABSTRACT FROM AUTHOR]

The study aims to evaluate global research output (103054 records) on coronavirus disease (COVID-19) based on quantitative and qualitative indicators. It presents a bibliometric profile of most influential countries, organizations, authors and journals and their collaborative linkages, besides identifying broad subject areas of research, most significant keywords and highly-cited papers related to COVID-19. During 2020-21, more than 150 countries participated in COVID-19 research, of which top 10 countries accounted for a 82.93% global share. The USA, China and U.K. produced the most articles (25.86%, 10.77% and 10.7% respectively). The top three organizations, namely Harvard Medical School, USA, Huazhong University of S&T, China and Tongji Medical College, China contributed 1755, 1344 and 1267 papers, respectively. The most cited organizations in COVID-19 research are: Peking Union Medical College, China (97.41 CPP), University of Hong Kong (82.17 CPP) and Renmin Hospital of Wuhan University, China (59.88 CPP). The top three most productive authors are: V. Wanitlit, E. Mahase and G. Lacobucci (with 152, 135 and 108 papers). The top three most cited authors in terms of citations per paper (CPP) are: Y. Hu (319.82), L. Liu (303.91) and J.F.W. Chan (169.55). The most productive organizations originate from most productive countries and they contribute the most collaborative papers. The top three journals, namely International Journal of Environmental Research, BMJ and PLOS One contributed 961, 854 and 781 papers, respectively. The top three journals in terms of citations per paper (CPP) are New England Journal of Medicine (122.78), The Lancet (106.3) and JAMA (75.17). The most ubiquitous topic was COVID-19 clinical studies, with maximum focus on virological aspects (9.58%), respiratory aspects (6.97%), molecular aspects (3.11%), genetic aspects (3.09%) and immunological aspects (1.3%). The results of this study should be of interest to working scientists, clinicians and policy-makers in improving their understanding of COVID-19 disease and in its management. [ABSTRACT FROM AUTHOR]

Objectives: The study presents a bibliometric assessment of COVID-19 vaccine research publications to understand the current and up-to-date scenario of COVID-19 vaccine research and to track important research players and identify the current areas. Materials and Methods: The global literature on COVID-19 vaccine research published during 2020 were searched in the Scopus database, using the keywords “COVID-19 vaccine” or “Coronavirus 19 vaccine” on 12 September 2020. The 343 global records on COVID-19 vaccine research were obtained which received 2636 citations and were published in 66 countries involving 280 organizations, 259 authors and 191 journals. The publication records obtained were statistically analyzed by using various bibliometric indices: document type, country, collaboration patterns, affiliation, journal name, and citation patterns. Results: Among top 12 countries, USA, U.K and China were the most productive and China, South Korea and USA were the most impactful. Nearly 51% publications of these top 12 countries were international collaborative. The top most productive organizations were Harvard Medical School, USA (12 papers), University of Washington, Seattle, USA (10 papers) and Fudan University, China (with 12, 10 and 8 papers. Th. top most impactful organizations in terms of citation per paper and relative citation index were Tongji Medical College, China (56.0 and 7.28), Shanghai Medical College, China (33.2 and 4.32) and Chinese Center for Disease Control and Prevention, China (23.5 and 3.06). The most productive journals were Nature, Science and Vaccine (24, 18 and 18 papers each) and the most impactful journals in terms of citations per paper were: Journal of Medical Virology (66.5), Cell (27.2) and New England Journal of Medicine (23.4). Conclusion: This results and findings emerging from the study shed new light on the major progress in the present time on hot topics on COVID-19 vaccine research. [ABSTRACT FROM AUTHOR]

Background: Covid-19 pandemic had been a disastrous catastrophe on human race affecting different groups of population differently. Pregnancy is a condition which too has been affected by Covid-19. The present study aims to examine the research productivity of Covid-19 and pregnancy. Methods: Keywords pertaining to "Covid-19" and "Pregnancy" were used in search string in Scopus database for the period 2020-21. Data regarding publications growth, productive countries, authors and institutions, high cited papers and significant keywords was retrieved to analyze results. Results: The search retrieved 2945 global publications for the period 2020-21. The USA, UK and China were the most productive countries (with 28.96%, 11.27% and 9.3% global share) on "Covid-19 and Pregnancy". The 613 organizations and 953 authors participated in global research on the subject, with top 20 most productive organizations and authors contributing 26.38% and 9.68% global publication share and 53.64% and 38.53% global citation share respectively. Huazhong University of Science and Technology, China, Tongji Medical College, China and Harvard Medical School, USA were the most productive organizations (with 68, 64 and 52 publications) and Huazhong University of Science and Technology, China (45.88 and 2.12), Tongji Medical College, China (44.96 and 2.08) and University of Health Sciences, Turkey (22.38 and 1.03) led the world as most impactful organizations in terms of citation impact and relative citation index. A Khalil (23 papers), C. Gyamfi-Bannerman (19 papers) and D. Goffman and I.C. Poon (17 papers each) were the most productive authors and H. Yang (197.4 and 4.66), l. Feng (105.12 and 2.5) and D.A. Schwartz (74.82 and 1.77) were the most impactful authors. American Journal of Obstetrics and Gynecology (94 papers), International Journal of Obstetrics and Gynecology (85 papers) and European Journal of Obstetrics and Gynecology and Reproductive Biology (66 papers) were the most productive journals in global research on "Covid-19 and Pregnancy". JAMA-Journal of the American Medical Association (45.52), Acta Obstetricia et Gynecologica Scandinavica (34.22) and Ultrasound in Obstetrics and Gynecology (25.95) were leading most impactful journals. The 61 (2.07%) out of 2945 global publications on "Covid-19 and Pregnancy" registered 102 to 1571 citations per paper and they together received 14620 citations averaging 239.67 citations per paper. These 61 publications are assumed as high cited publications and involve 153 authors, 116 organizations and published in 43 journals. [ABSTRACT FROM AUTHOR]

As China's carbon market continues to develop, its close connection with the financial and energy markets is becoming increasingly apparent. A systematic study of the spillover effects between markets is important, as it can help prevent excessive fluctuations in carbon prices. With this in mind, this study proposes a time‐varying parameter vector autoregression with Lanne–Nyberg decomposition extended joint connectedness approach to analyze quantitatively the spillover effects in the "carbon–energy–financial" system. Empirical results show that a bidirectional spillover effect exists among markets. Not only does the carbon market have the most pronounced return (volatility) linkages with the natural gas (clean energy) market, but the information connected with the energy markets is also more closely linked than with the financial markets. We also find that market fluctuations, caused by the China–US trade conflict and the COVID‐19 pandemic, have increased spillovers in the system. [ABSTRACT FROM AUTHOR]

The coronavirus pandemic is challenging the existing global economic order and the risk of infection is reordering the way people interact. Communication technologies have provided new ways of managing social activities and maintaining social order. The digital health code is a technology developed to digitize health and mobility via mobile devices; its objective is to restore the flow and control of the physical body in a post-pandemic society. This paper examines the digital health code in post-pandemic China. Through analysis of its technical structure, government policies and the use of the digital health code, the paper explores how this social biotechnology reconstructs the notion of health, how it restores mobility and in doing so how it strikes a balance between biosecurity and capital accumulation in post-pandemic societies. [ABSTRACT FROM AUTHOR]

As the world tries to grapple with the aftermath of the COVID-19 pandemic, there are concerns about the revivals of economies across the globe. The world is also trying to make sense of global restructuring trade, which is expected in the post-COVID-19 world. This paper attempts to analyze the emerging trade scenario between India and China. Atlas of Economic Complexity theory (ACE) by Ricardo Hausmann, Cesar A. Hidalgo has been taken as a base for this research. This study propagates that the countries with products that require more know-how have more potential to grow. Taking the Atlas map giving details of Indian exports as a base, the researchers have compared the data from the last two years. The purpose is to identify whether the complexity of Indian exports is increasing or not. A particular case study has been done on Indian exports to China. There has been little progress in this field as India is exporting more complex products slightly to China. There is an urgent need to formulate a strategy to enhance the complexity of Indian exports. The policymakers need to give impetus to the industries which have a cross-cultural demand in China and leverage this opportunity. This will open the path for consolidating India's position in the global trade as well as improving its strategic position vis-a-vis China. [ABSTRACT FROM AUTHOR]

The emergence of the Covid-19 pandemic has led to the publication of many scientific papers. The goal of the present research was to analyze these papers using the Altmetric Attention Score (AAS). Statistics for 100 publications with high AAS scores were selected and exported from the Dimension database on May 22nd 2020. The major findings were that these publications were published in 34 different journals or preprint repositories. More than one-third of the total of 657, 350 social media posts were collected from the Twitter platform. The top contributing countries were China, followed by the USA. The paper "The proximal origin of SARS-CoV-2" by Andersen, Kristian G., etal., 2020 had the highest AAS (33 514). These findings may help others to design studies of the AAS in Coronavirus literature and compare them with traditional citations. [ABSTRACT FROM AUTHOR]

This paper analyses the application of force majeure, the principle of change of circumstances, and the doctrine of frustration in the context of the COVID-19 pandemic in New Zealand and China. The paper will first outline the general legal test and legal consequences of the three doctrines. Secondly, the paper will discuss the legal tests and legal consequences of the three doctrines specifically in New Zealand and China and in the context of COVID-19. Thirdly, the paper will discuss the similarities and differences between the three doctrines. In the second part of this paper, the paper will discuss how the three doctrines apply to commercial lease cases in the context of COVID-19. The paper will select two commercial lease cases in New Zealand and China to analyse the robustness of all three legal doctrines in providing practical workable solutions for tenants and landlords during government-imposed lockdowns and enforced closures of leased premises. The paper illustrates how the differences in the legal tests, legal consequences and underlying rationales of the doctrines result in different outcomes of a case. The paper concludes that the doctrines each have their strengths and weaknesses and other civil and common law countries can learn from the experiences of China and New Zealand. Furthermore, the paper suggests that courts should carefully consider the relevant facts and circumstances of a case when applying legal doctrines. Moreover, courts need to strike the right balance between doing the victims of unforeseen circumstances and upholding the principle of the sanctity of contract. The analysis of the three doctrines is particularly useful in this day and age where there is a high likelihood of the occurrence of another pandemic-level event and causing unprecedented disruptions to the commercial world. Moreover, the research has provided tenants and landlords with a good starting point as to how to protect themselves in the event of an unforeseen event. [ABSTRACT FROM AUTHOR]

Understanding the dynamic link between the development of COVID-19 pandemic and industry sector risk spillovers is crucial to explore the underlying mechanisms by which major public health events affect economic systems. This paper applies ElasticNet method proposed by Diebold and Yilmaz (2009, 2012, 2014) to estimate the dynamic risk spillover indicators of 20 industrial sectors in China from 2016 to 2022, and systematically examines the impact of industry risk network fluctuations and the transmission path caused by COVID-19 shock. The findings reveal that risk spillovers of Chinese industries show a dynamic change of "decline-fluctuation-rebound" with the three phases of COVID-19 epidemic. At the beginning of the epidemic, machinery and equipment, paper and printing, tourism and hotels, media and information services, and agriculture were the exporters of epidemic risk, while materials, transportation equipment, commercial trade, health care, and environmental protection were the importers of epidemic risk; However, as the epidemic developed further, the direction and effect of risk transmission in the industry was reversed. Examining the network characteristics of the pair sectors, we found that under the epidemic shock, the positive risk spillover from tourism and hotels, culture, education and sports to consumer goods, finance, and energy industries was significantly increased, and finance and real estate industries were affected by the risk impact of more industries, while the number of industries affected by information technology and computer industry was significantly reduced. This paper shows that there is inter-industry risk transmission of the COVID-19 epidemic shock, and the risk transmission feeds back in a cycle between industries as the epidemic develops, driving the economy into a vicious circle. The role of the service sector in blocking the spread of negative shocks from the epidemic should be emphasized and brought into play to avoid increasing the overall economic vulnerability. This study will help to deepen the understanding of scholars and policy makers on the network transmission effects of the epidemic. [ABSTRACT FROM AUTHOR]

A new omni-channel retailing mode, prepositioned warehouses, which developed rapidly in China during the COVID-19 pandemic, was introduced, and a three-level logistics network optimisation model for agricultural products was presented. This study takes into account the characteristics of the omni-channel retail model, which combines the two delivery methods of vehicle delivery and consumer in-store purchase, adds the freshness penalty incurred by fresh agricultural products in the storage process of the prepositioned warehouse, and establishes a mathematical optimisation model of the three-stage logistics network of the prepositioned warehouse that meets the characteristics of omni-channel retailing on the basis of the classical EOQ inventory model. In this work, the shortest delivery time and the smallest total cost are set as the optimisation objectives, and the multi-objective problem is transformed into a single objective through normalisation and linear weighting methods to obtain a mixed-integer optimisation model. This paper solves the problems of site selection for prepositioned warehouses, merchandise replenishment strategies, and optimisation of delivery routes based on data from real cases. Additionally, through sensitivity analysis, the management inspiration of the enterprise is obtained. [ABSTRACT FROM AUTHOR]

Investigating the significant "roles" within financial complex networks and their stability is of great importance for preventing financial risks. On one hand, this paper initially constructs a complex network model of the stock market based on mutual information theory and threshold methods, combined with the closing price returns of stocks. It then analyzes the basic topological characteristics of this network and examines its stability under random and targeted attacks by varying the threshold values. On the other hand, using systemic risk entropy as a metric to quantify the stability of the stock market, this paper validates the impact of the COVID-19 pandemic as a widespread, unexpected event on network stability. The research results indicate that this complex network exhibits small-world characteristics but cannot be strictly classified as a scale-free network. In this network, key roles are played by the industrial sector, media and information services, pharmaceuticals and healthcare, transportation, and utilities. Upon reducing the threshold, the network's resilience to random attacks is correspondingly strengthened. Dynamically, from 2000 to 2022, systemic risk in significant industrial share markets significantly increased. From a static perspective, the period around 2019, affected by the COVID-19 pandemic, experienced the most drastic fluctuations. Compared to the year 2000, systemic risk entropy in 2022 increased nearly sixtyfold, further indicating an increasing instability within this complex network. [ABSTRACT FROM AUTHOR]

There have been limited studies comparing Chinese and American news media in their descriptions of vaccines, especially their use of metaphors in the context of COVID-19. Hence, this paper employs a corpus-assisted critical approach to examine the metaphors used in constructing crisis discourses relating to vaccines in Chinese and American newspapers. The study reveals four conceptual metaphors: WEAPON, MACHINE, TRAVELLER, and CONTEST. The usage of these metaphors is intertwined with wider discursive contexts, which are shaped by the two countries' distinct journalistic and geopolitical/sociocultural contexts. These have resulted in the adoption of different strategies for handling the COVID-19 crisis, reflecting the ideologies of collectivism in China and capitalism in America. The study highlights the significance of metaphors in shaping the ideologies of governments and/or the public towards vaccines through news media. Additionally, this paper provides a useful framework for comparing metaphor usage in two large corpora using Wmatrix. [ABSTRACT FROM AUTHOR]

During the last three years, numerous research papers have been reported which use social media data to explore several issues related to the COVID-19 pandemic. Bibliometric methods in this work are used to analyze 1427 peer-reviewed documents from the last three years extracted from the Web of Science database. The results of this study show that there was high growth in publications in open access journals with an annual rate reaching 19.3% and they also identify the top cited journals and research papers. The thematic analysis of papers shows that research topics related to social media for surveillance and monitoring of public attitudes and perceptions, mental health, misinformation, and fake news are important and well-developed, whereas topics related to distance-learning education with social media are emerging. The results also show that the USA, China, and the UK have published many papers and received a high number of citations because of their strong international collaboration. [ABSTRACT FROM AUTHOR]

This paper examines the Chinese government's response to four epidemic crises, including COVID-19, and analyzes the similarities and differences in these responses. It argues that while the Chinese government learned from previous epidemics and improved its handling of subsequent outbreaks, a significant variation occurred during the COVID-19 pandemic, which had a detrimental impact globally. Existing scholarly research on China's epidemic responses has often been limited in scope, focusing on individual crises and neglecting the central-local government relationship in crisis decision-making. By adopting a comprehensive approach, this paper delves into the nuanced dynamics of China's responses to these epidemics. It highlights the variations in responses, attributing them to the Chinese government's fear of undermined legitimacy and its consideration of its international image. The government's recognition of the importance of public perception and trust, both domestically and globally, has shaped its crisis management strategies. Through a detailed analysis of these factors, this paper contributes to a deeper understanding of the variations observed in China's epidemic responses. It emphasizes the significance of the central-local government relationship and the government's international image in determining its actions during epidemics. Recognizing these factors can provide policymakers and researchers with insights to shape future epidemic response strategies and foster effective global health governance. [ABSTRACT FROM AUTHOR]

Background: Against the grim background of declining intention to have children, the ravages of COVID-19 have pushed China and the world into a more complex social environment. To adapt to the new situation, the Chinese government implemented the three-child policy in 2021. Objective: COVID-19 pandemic indirectly affects the country's internal economic development, employment, fertility plans or intention, and other major issues related to the people's livelihood, while undermining the stable operation of society. This paper explores the question that will COVID-19 pandemic affect Chinese people's intention to have a third child. And What are the relevant factors inside? Method: The data in this paper are from the Survey released by the Population Policy and Development Research Center of Chongqing Technology and Business University (PDPR-CTBU), including 10,323 samples from mainland China. This paper uses the logit regression model and KHB mediated effect model (a binary response model given by Karlson, Holm, and Breen) to investigate the impact of the COVID-19 pandemic and other factors on Chinese residents' intention to have a third child. Results: The results suggest that the COVID-19 pandemic has a negative effect on Chinese residents' intention to have a third child. In-depth research on the mediating effect of KHB shows that COVID-19 pandemic will further inhibit residents' intention to have a third child by affecting their childcare arrangements, increasing their childcare costs, and increasing their exposure to occupational hazards. Contribution: This paper is more pioneering in focusing on the impact of the COVID-19 epidemic on the intention to have three children in China. The study provides empirical evidence for understanding the impact of COVID-19 epidemic on fertility intentions, albeit in the context of policy support. [ABSTRACT FROM AUTHOR]

As an emerging business modality and Internet format, live streaming e-commerce has developed rapidly since its emergence in 2016, especially since the outbreak of the COVID-19 epidemic in late 2019, when an increasing number of businesses from other industries attracted participation. However, with the development of the live streaming e-commerce industry, the industry's market environment is becoming increasingly chaotic. Therefore, during this period, government departments continuously formulate and implement relevant industry policies. In order to exploring the cooperation network structure, policy content distribution, and implementation effectiveness characteristics among publishers, this paper constructs a three-dimensional analysis framework of policy from the perspective of policy tools, policy effectiveness evaluation and policy publishers. The results show that in terms of policy tools, the overall structure of policy tools in the live streaming e-commerce industry is unreasonable, and different types of policy tools are significantly diverse. The proportion of environmental policy tools is greater than that of demand-based and supply-based policy tools, accounting for 62.97%, and among them, the tools related to industry regulation and management account for the largest proportion of the total, which greatly suppresses the enthusiasm of various entities in the industry for development. In terms of policy effectiveness evaluation, most of the policies do not formulate detailed long-, medium-, or short-term goals, nor are the policy priorities, incentive measures, or action modes perfect, indicating that the government's pushing and pulling forces for the live streaming e-commerce industry are insufficient. Finally, in the subject dimension of policy release, the synergy of relevant subjects is constantly improving, but there is also a phenomenon of over-concentration in the synergistic departments. [ABSTRACT FROM AUTHOR]

With the rapid development of artificial intelligence in recent years, intelligent evaluation of college students' growth by means of the monitoring data from training processes is becoming a promising technique in the field intelligent education. Current studies, however, tend to utilize course grades, which are objective, to predict students' grade-point averages (GPAs), but usually neglect subjective factors like psychological resilience. To solve this problem, this paper takes mechanical engineering as the research object, and proposes a new machine-learning-driven GPA prediction approach to evaluate the academic performance of engineering students by incorporating psychological evaluation data into basic course scores. Specifically, this paper adopts SCL-90 psychological assessment data collected in the freshman year, including key mental health indicators such as somatization, depression, hostility, and interpersonal sensitivity indicators, as well as professional basic course scores, including mechanical principles, mechanical design, advanced mathematics, and engineering drawing. Four representative machine learning algorithms, Support Vector Machine (SVM), CNN-CBAM, Extreme Gradient Boosting (XGBoost) and Classification and Regression Tree (CART) that include deep and shallow models, respectively, are then employed to build a classification model for GPA prediction. This paper designs a validation experiment by tracking 229 students from the 2020 class from the School of Mechanical and Electrical Engineering of Henan University of Science and Technology, China. The students' academic performance in senior grades is divided into five classes to use as the prediction labels. It is verified that psychological data and course data can be effectively integrated into GPA prediction for college students, with an accuracy rate of 83.64%. Meanwhile, this paper also reveals that anxiety indicators in the psychological assessment data have the greatest impact on college students' academic performance, followed by interpersonal sensitivity. The experimental results also show that, for predicting junior year GPAs, psychological factors play more important role than they do in predicting sophomore GPAs. Suggestions are therefore given: the current practice in existing undergraduate teaching, i.e., only conducting psychological assessments in the initial freshman year, should be updated by introducing follow-up psychological assessments in each academic year. [ABSTRACT FROM AUTHOR]

The financial market and regional innovation have been severely affected by the COVID-19 pandemic. This paper investigates the impact of financial support on regional innovation at different stages of the COVID-19 pandemic from 2019 to 2021 in China. Before the pandemic, bank support positively influenced regional innovation quantity and quality, while government support had a positive effect on quantity. Throughout COVID-19, both types of support promoted regional innovation quantity and quality. In the post-pandemic era, bank support had a modest positive impact on quantity, while government support influenced both quantity and quality. Evidences from other countries support these findings. The study guides decision-makers to mitigate the pandemic's impact on regional innovation with specific guidance for government and banking institutions. [ABSTRACT FROM AUTHOR]

Background: Residents' adoption of preventive behaviours proved beneficial in preventing the large-scale transmission of the virus during the early stages of the COVID-19 outbreak. It is critical to investigate how social media triggers residents' preventive behaviour decisions during the COVID-19 outbreak. Methods: This paper selected online shopping as a specific preventive behaviour for empirical investigation. An online cross-sectional survey was conducted through the Sojump website from 1 to 15 March 2020, and a total of 1,289 valid questionnaires were collected from China. This paper uses multiple regression analysis to investigate the heterogeneous impacts of different information sources on residents' online shopping willingness and online shopping behaviour and the heterogeneous impacts of different information content in social media on the transformation of residents' online shopping willingness and online shopping behaviour. Results: The findings indicate that both official-media and self-media positively promote residents' online shopping willingness and behaviour, with official-media having a stronger promotional effect than self-media. Furthermore, official-media and self-media can collaboratively promote residents' online shopping willingness and online shopping behaviour. The ease-of-use and usefulness of information significantly promoted the transformation of residents' online shopping willingness. Conclusions: This study analyses the heterogeneous impacts of social media on residents' preventive behaviours from the perspectives of information source differentiation and information content differentiation, which enriches related studies and provides feasible paths for promoting residents' preventive behaviours. [ABSTRACT FROM AUTHOR]

The spread of the COVID-19 had profoundly affected the development of the air transportation. In order to determine the changes in air transportation volume associated with the development of the epidemic, this paper takes Southwest China as the study area. Monthly data and methods, such as the coefficient of variation, rank-size analysis and spatial matching index, were applied. The results found that: (1) during 2020–2022, there was a positive relationship between passenger volume and epidemic development, while freight volume increased for most airports in the first quarter of 2020–2022, particularly in the eastern region; (2) From the perspective of changes in air transportation volume under the development of the COVID-19, among various types of airports, the changes in transportation volume of main trunk airports were more significant than those of regional feeder airports in remote areas; (3) however, under the influence of the epidemic, main trunk airports still exhibited stronger attraction in passenger volume. That is to say, the passengers who chose to travel by air still tended to choose the main trunk airports and formed the agglomeration distribution pattern which around high-level airports in the provincial capital. Whereas the freight volume had a tendency of equalization among airports in Southwest China; (4) Over the course of time, the consistency of the spatial distribution of the number of cases and the passenger or freight volume in southwest China gradually increased. Among them, the spatial matching rate of the passenger volume and the number of COVID-19 cases was always higher than that of the cases and freight volume, which might indicate that there was a stronger correlation relationship. Therefore, it is proposed that the construction of multi-center airport system should be strengthened, the resilience of the route network for passenger transportation should be moderately enhanced, and the risk-resistant capacity of mainline airports and airports in tourist cities should be upgraded, so as to provide references for the orderly recovery of civil aviation and regional development. [ABSTRACT FROM AUTHOR]

According to an article in Pulse International, China is expected to become the world leader in research and clinical trials by 2025. Currently, the United States and China publish the most research papers, but China's progress in various fields, including clinical trials, is rapidly increasing. Other countries such as Japan, South Korea, Brazil, and India are also making significant advancements in clinical trials. The article emphasizes the importance of collaboration between academia and the pharmaceutical industry for successful clinical trials and the need for biotechnology plants in Pakistan. The author also discusses the different phases of clinical trials and the challenges faced in conducting research. The article concludes by highlighting the importance of integrity, ethics, and transparency in research, as well as the potential economic benefits of clinical research organizations. [Extracted from the article]

According to Prof. Javed Akram, President of the Pakistan Society of Internal Medicine, China is expected to become the world leader in research and clinical trials by 2025. Currently, the United States and China publish the most research papers, but China's progress in these fields is significant. Other countries, such as Japan, South Korea, Brazil, and India, are also prioritizing clinical trials. Prof. Akram emphasized the importance of collaboration between academia and the pharmaceutical industry for successful clinical trials and research publications. He also discussed various clinical trials conducted in Pakistan, including those related to COVID-19 and the need for biotechnology plants. Prof. Akram highlighted the phases of clinical trials, the challenges faced, and the importance of integrity, ethics, and transparency in research. [Extracted from the article]

Introduction: The fragility of agriculture makes the food supply chain vulnerable to external risks such as epidemic, conflict, disaster, climate change, economic and energy crisis. The COVID-19 pandemic has spread and continued globally in recent years, resulting in food supply chain disruption and insecurity, which triggers profound reflection on the impacts of public health events (PHEs). Studying the impacts of PHEs on the resilience of food supply chain has great significance to effectively reduce the risks of disruption and insecurity in the future. Methods: Based on the composition of PHEs and the division of food supply chain, this paper adopted the nonlinear Granger causality test to verify the nonlinear causal relationship between PHEs and proxy variables in the food supply chain; then the TVP-VAR-SV model was constructed and its three-dimensional pulse response results were matched with the sensitivity, recovery, and adaptation of the food supply chain resilience to deeply explore the dynamic impacts of PHEs. Results: PHEs has significant nonlinear conduction effects on the resilience of food supply chain, the impacts of PHEs on the partial sector resilience have significant dynamic characteristics in the whole sample period, and the impacts of PHEs on the recovery and adaptation aspects of food supply chain resilience have structural break characteristics. Discussion: The differences, dynamic characteristics and structural breaks of the impacts of PHEs on the resilience of food supply chain are caused by the infectivity and mortality of PHEs, attributes of food products, regulation of supply and demand in the market, behavioral decisions of all participants, changes in the policy environment, and coordination and upgrading of all sectors in the supply chain. [ABSTRACT FROM AUTHOR]

Purpose: During the coronavirus disease 2019 (COVID-19) pandemic, ubiquitous social media has become a primary channel for information dissemination, social interactions and recreational activities. However, it remains unclear how social media usage influences nonpharmaceutical preventive behavior of individuals in response to the pandemic. This paper aims to explore the impacts of social media on COVID-19 preventive behaviors based on the theoretical lens of empowerment. Design/methodology/approach: In this paper, survey data has been collected from 739 social media users in China to conduct structural equation modeling (SEM) analysis. Findings: The results indicate that social media empowers individuals in terms of knowledge seeking, knowledge sharing, socializing and entertainment to promote preventive behaviors at the individual level by increasing each person's perception of collective efficacy and social cohesion. Meanwhile, social cohesion negatively impacts the relationship between collective efficacy and individual preventive behavior. Originality/value: This study provides insights regarding the role of social media in crisis response and examines the role of collective beliefs in the influencing mechanism of social media. The results presented herein can be used to guide government agencies seeking to control the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

The papers in this special section focus on modeling and simulation in disaster and emergency management. The COVID-19 pandemic of 2020 has wrought damage globally to a degree that is totally unprecedented in human history.Within three months that the first known death from the illness caused by the so-called novel Coronavirus was reported by state media in China on the 11th of January 2020, close to 1.8 million people worldwide had tested positive, with more than 100,000 deaths reported. By the time the pandemic will have been declared to be under control, millions more are expected to have been infected and tens (possibly hundreds) of thousands more will have perished as a result of the disease. Not only are the numbers of COVID-19 infected people and deaths staggering. Economies throughout the world have suffered tremendously, with many companies forced to shut down, or at the very least significantly scale down, their production of goods and services as a result of the need for social distancing and self-isolation required to prevent the unmitigated transmission of the disease. All this has led to hundreds of millions worldwide losing their employment or other sources of livelihood. Governments of all nations, large and small, developed and underdeveloped, have needed to pump into their economy and onto their struggling citizens whatever financial resources they could manage to generate. [ABSTRACT FROM AUTHOR]

Team science refers to research initiatives considered in collaboration with scientists from different disciplines or fields. This paper presents a bibliometric analysis for visualization of global research activity concerning the combination of cancer and the COVID-19 pandemic using a team science approach. A bibliometric study was implemented using Web of Science from 2019 to 2021. We analyzed citations to identify description and citations analysis of results, most prolific countries, international research collaboration, most prolific institutions, research areas, most cited papers, and most productive journals. The preliminary data of 2,313 studies that adopted a team science approach were recorded and analyzed. Team science is becoming progressively popular in cancer research. The United States was the most active country, followed by Italy and China. The United States, the United Kingdom, and Italy had the highest level of cooperation with other countries. The most prolific institution was Harvard University, followed by University of London and the University of Texas System. Head and Neck Journal for the Sciences and Specialties of the Head and Neck, Frontiers in Oncology, and eCancerMedicalScience were the most productive journals. Governments, organizations, policymakers, and researchers should pay attention to team science approach at times of disasters such as cancer and COVID-19 to achieve the best strategies for controlling cancer that is currently a world problem. [ABSTRACT FROM AUTHOR]

Using the policy package pilot implemented in Hubei Province, China, in April 2020 as a natural experiment, we use the synthetic control (SC) and synthetic difference in differences (SDID) methods to estimate the impact of the Chinese government's support policy on the economic resilience and to analyze the mechanisms by which it impacts. This study finds that the policy package has contributed to the growth of economic resilience in the pilot provinces, with the policy package increasing the average economic resilience of the pilot provinces by 0.062 compared to their potential resilience. The validity and robustness of the above conclusions are objectively confirmed by multidimensional quantitative outcomes such as placebo tests, ranking tests, and replacements in calculating resilience. The mechanism analysis shows that the investment in real estate development, the stimulus for consumption, and the core industry development are virtual channels for the policy package to promote economic resilience growth in the pilot provinces. Moreover, traditional investment in transportation fixed assets plays a minor role. This paper quantitatively corroborates the academic idea that government governance capacity affects regional economic resilience (RER), and research can provide empirical support for regional economic recovery and policy support under a major crisis. [ABSTRACT FROM AUTHOR]

This paper merges three textual models to construct a series of indicators, which can yield more refined proxies for financial media coverage, to measure the impacts of COVID-19 on Chinese financial markets. Results show that the basic indicator Granger causes the volatilities of bond and stock markets and contributes more to the stock market after the outbreak of COVID-19. Next, four specific market-related indicators have significant effects on the corresponding financial market after the outbreak. Finally, the policy-related indicator has a significant effect on four financial markets after the outbreak, and it causes greater volatility in the stock market. This paper can help the government to stabilize the financial market by managing financial media attention. [ABSTRACT FROM AUTHOR]

Transnational political communication today is being reconfigured by digital technologies and global power transition. Authoritarian state actors such as China are increasingly active on global social media platforms such as Twitter to directly advance their preferred frames with foreign publics in Western democracies, most notably in what could be called Chinese Twiplomacy contesting narrative globally over contentious issues. This paper problematises such Twiplomacy from authoritarians to Western democracies as 'networked transnational frame contestation', arguing that the political and cultural distance between the sending and target countries, the networked affordance of social media, and the national prism of the target countries, all contribute importantly to the complexity of such frame contestation. Through a case study on China's Twiplomacy in contesting coronavirus narrative in the UK, this paper further provides empirical evidence on how 'networked transnational frame contestation' works between politically and culturally distant countries. Using a mixed-method approach combining social network analysis and discourse analysis, this study finds that China's emotion-evoking discursive strategy draws traction but the authoritarian nature of the highly centralised networkedness and that of its discursive strategy, together with the strong cultural discordance with British publics, lead to networked recontextualisation of its intended frames in Britain. British publics, heavily relying on British political elites and press for foreign affairs, invoke shared cultural reference to recontextualise Chinese frames into culturally resonant counterframes. This study proposes a paradigm of 'networkedness within cascades' to understand frame contestation between politically and culturally distant countries. [ABSTRACT FROM AUTHOR]

In the process of hikers' choosing a destination, searching for information is one of the important elements, playing a decisive role in decision-making. Based on the Baidu Index for "hiking," this paper analyzes the spatial and temporal characteristics of and factors that influenced network attention to hiking in China from 2016 to 2021. The study found that (1) Network attention to hiking in China was generally relatively stable across the period studied, with highly uneven distribution between different months. The search volume was higher on weekends, and mobile searches increased year by year, far exceeding computer searches. (2) Different regions in China experienced different levels of network attention, with the highest levels in the east, followed by the center, and the lowest in the west. Except for East China, network attention to hiking was highly unevenly distributed within each region. (3) The COVID-19 pandemic increased the geographical concentration index and coefficient of variation but reduced the primacy index. A region's level of economic development, degree of network development, population size, and population age structure are proposed as factors that affect network attention to hiking. [ABSTRACT FROM AUTHOR]

In early 2020, the spread of COVID-19 resulted in the wide use of online classes in China. Drawing on Foucault’s disciplinary power and De Certeau’s strategy-tactic dialectic, this paper explores the online learning practice of students in a rural junior middle school at Yu Town in Central China during the pandemic, through interviewing the students, teachers, and parents. The findings show that the teachers and the students engaged in a power game in online education and employed a series of strategies and tactics to realize the control and resistance through the creative use of media technologies. The study reveals the paradox that the rural students’ agency and resistance, enabled by the media technologies, may result in negative consequences for their learning and further broaden the gap between rural and urban students, thus reproducing the system that they are dissatisfied with. [ABSTRACT FROM AUTHOR]

Purpose: This paper examines the impact of the COVID-19 pandemic on low-carbon consumption of dairy products through informational interventions. The empirical findings seek to enlighten developing countries' efforts in coping with climate change and potential dietary transitions. Design/methodology/approach: A randomized controlled trial was designed to examine the effects of purpose-differentiated information interventions on individual dairy consumption. The experiment recruited and randomly assigned 1,002 college students into four groups to receive (or not) environmental or/and health information interventions. Findings: The empirical analysis finds that health and combined information interventions have a positive impact on dairy consumption, while environmental information interventions' effect on dairy consumption is insignificant. In the context of the pandemic, health information interventions positively affected participants' perceptions and preferences for dairy products by delivering knowledge about their role in boosting immunity. However, environmental information interventions failed to do the same things as their insignificant effects on both perception and preference. Originality/value: Macro-external shocks, such as public health events, may offset the impact of universal information interventions promoting pro-environmental behaviors. For a smooth dietary transition to achieve long-term environmental sustainability, diverse stakeholders must be included in more individualized interventions to guide daily consumption, especially in developing countries with large populations. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has posed a severe challenge to the global economic recovery and China's economic growth. Although China has achieved stage victory against the epidemic, the impact and influence of the epidemic on China's economy will linger. On the positive side, the epidemic has led to a dramatic reduction in air pollution levels and a sharp slowdown in greenhouse gas emissions such as CO2. Forecasting China's CO2 emissions under the impact of the COVID-19 epidemic is crucial for formulating policies that contribute to smooth economic development and rational energy consumption. To this end, this paper improves on the traditional grey model, GM(1, N), by developing a novel fractional multivariate nonlinear grey model, FMNGM(q, N). These improvements include two key points. First, different power exponents are assigned to each relevant factor variable to explain their nonlinear, uncertain, and complicated relationships with the system characteristic variables. Second, the integer accumulation is changed to fractional accumulation to preprocess the data, and the Caputo-type fractional derivative is used to characterize the endogenous relationships among the system characteristic data. In addition, the quantum particle swarm optimization (QPSO) algorithm is used to optimize the above parameters with the goal of minimizing MAPE. The collected data on China's CO2 emission from 2001 to 2018 were divided into two parts according to different stages of economic development: 2001–2009 and 2010–2018. Both sets of data were modelled and analysed separately and compared with other models. Results showed that the proposed model had better prediction accuracy than other models. Finally, the model built using the 2010–2018 data was used to forecast China's CO2 emissions. Results show that China's CO2 emissions in 2020 under the impact of COVID-19 will decrease by approximately 3.15% from 2019 to 9893 million tons. The results bear important policy implications for planners in investment in clean energy and infrastructure to achieving the goal of a low-carbon transition. [ABSTRACT FROM AUTHOR]

Susan Sontag's cancer experience made her realize the harm that the inappropriate use of illness metaphors might do to patients. After recovering from breast cancer, she wrote in Illness as Metaphor that illness has been romanticized and stigmatized. She also elaborated on some illness metaphors, such as the military metaphors for illness, which are still the subject of debate. Her novel In America could be regarded as an elaboration on the consequences of such metaphors. The phenomena she depicts in her novel are now visible twenty years later in the real world. Through analysing the personal experiences of the protagonists Maryna and Ryszard of In America, three levels of trauma caused by the illness metaphors used in negative ways are elucidated in this paper: the personal level, the social level, and the national level. Patients and their relations, health care workers, and even countries, such as China, have been hurt by these metaphors. Therefore, to avoid causing harm to more people, it is necessary to alleviate the negative effects of the inappropriate use of illness metaphors, especially in the postpandemic era of COVID-19. The illness narrative is a good way to mitigate the traumas caused by the inappropriate use of illness metaphors. This article attempts to explore the metaphorization of illness, the traumas caused by the inappropriate use of illness metaphors, and the occurrence of similar phenomena during and after COVID-19. The plot of In America is also explored as an illness narrative, and the illness narrative genre is examined as a way to mitigate the negative effects of the inappropriate use of illness metaphors. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has created significant challenges to the global economy, especially within the tourism industry. Economic downturns and psychological barriers make it even more challenging to attract tourists back. This paper explores the stimulating effect of digital travel vouchers on tourist mobility, as well as the heterogeneous effects of different vouchers modes. Using monthly data on tourist inflows in 306 cities from September 2020 to December 2021, collected by a web-crawling tool, and manually gathered information of digital travel vouchers issued during this period, our analyses show that digital travel vouchers can boost tourist inflows. Their effectiveness, however, depends on the method of issuance and the total number distributed. Furthermore, significant spillover effects among neighboring cities are found through a spatial econometric model. [ABSTRACT FROM AUTHOR]

Focusing on the challenges brought about by the devastating COVID-19 pandemic in China and the Chinese government's increasingly stringent regulatory policies, this paper poses the following research questions: During the pandemic and in interactions with the government, why did some non-governmental organizations (NGOs) survive while others were shut down, although most of those that survived were small and medium-sized NGOs? In addressing this question, this paper delves into the strategies adopted by small and medium-sized NGOs to cope with COVID-19. Using data drawn from three years of field observations and research in six major cities in China, this paper finds that four types of small and medium-sized NGOs resorted to different strategies that followed degree of competitiveness and scope of main business. The scarcity of resources resulting to the pandemic plunged NGOs into a competitive survival posture; thus, the strategies for the four types of small and medium-sized NGOs achieved three levels of effectiveness, namely good, medium, and poor. The findings of this paper shed significant light on the diversity and complexity of the survival and development of NGOs under the authoritarian regime of China. [ABSTRACT FROM AUTHOR]

COVID-19 has seriously impacted China's real economy and directly threatened the survival and healthy development of enterprises. Based on the data of Chinese A-share listed enterprises in Shanghai and Shenzhen from 2017 to 2021, this paper empirically examines the impact and mechanism of COVID-19 on enterprises financial distress. The findings are as follows: (1) The impact of COVID-19 significantly increases the risk of enterprises financial distress. (2) There are differences in the effect of COVID-19 on the financial situation of enterprises with different characteristics, with significant negative impacts on enterprises in industries such as mining and manufacturing, as well as smaller enterprises and those located in the central and western regions. (3) Digital transformation and government subsidies can alleviate the negative effects of COVID-19 on enterprises financial distress. The paper provides a basis for enterprises to recover from financial difficulties as soon as possible, enhance competitiveness, and realize sustainable development. [ABSTRACT FROM AUTHOR]

How do events, especially rare external events such as financial crises, wars, natural disasters, and the COVID-19 pandemic, affect the efficacy of entrepreneurial passion to drive organizational innovation? This study investigates the moderating role of events and entrepreneurs' competence to exploit the events (opportunity competence) in the relationship between entrepreneurial passion and organizational innovation. Drawing insights from event system theory, we identified two critical event characteristics (i.e., event novelty and event criticality). Integrating the affect infusion model and the self-verification process in the identity literature, we argue that the two event characteristics and opportunity competence are crucial for entrepreneurs to exploit the benefits of entrepreneurial passion in promoting organizational innovation. After analyzing a survey sample of 435 entrepreneurs in Qinhuai Silicon Alley in China and an online survey of 202 entrepreneurs worldwide, we found that entrepreneurial passion exerts a stronger effect on organizational innovation when events are more novel and more critical to entrepreneurs, and when entrepreneurs have greater opportunity competence. We discuss these findings' theoretical and practical implications later in this paper. [ABSTRACT FROM AUTHOR]

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The transmission rate is an important indicator for characterizing a virus and estimating the risk of its outbreak in a certain area, but it is hard to measure. COVID-19, for instance, has greatly affected the world for more than 3 years since early 2020, but scholars have not yet found an effective method to obtain its timely transmission rate due to the fact that the value of COVID-19 transmission rate is not constant but dynamic, always changing over time and places. Therefore, in order to estimate the timely dynamic transmission rate of COVID-19, we performed the following: first, we utilized a rolling time series to construct a time-varying transmission rate model and, based on the model, managed to obtain the dynamic value of COVID-19 transmission rate in mainland China; second, to verify the result, we used the obtained COVID-19 transmission rate as the explanatory variable to conduct empirical research on the impact of the COVID-19 pandemic on China's stock markets. Eventually, the result revealed that the COVID-19 transmission rate had a significant negative impact on China's stock markets, which, to some extent, confirms the validity of the used measurement method in this paper. Notably, the model constructed in this paper, combined with local conditions, can not only be used to estimate the COVID-19 transmission rate in mainland China but also in other affected countries or regions and would be applicable to calculate the transmission rate of other pathogens, not limited to COVID-19, which coincidently fills the gaps in the research. Furthermore, the research based on this model might play a part in regulating anti-pandemic governmental policies and could also help investors and stakeholders to make decisions in a pandemic setting. [ABSTRACT FROM AUTHOR]

The Covid-19 pandemic has exerted significant downward pressure on economic activity. In this paper, we examine the extent of the epidemic shock and recovery effects on economic growth by province in China since 2020. We find that the extent of the epidemic shock on economic growth in China has been gradually weakening. Still, the economy has not yet fully recovered from the shock. Also, there is some heterogeneity across provinces in the extent to the economic growth shocked by epidemic and the recovery effects. [ABSTRACT FROM AUTHOR]

This paper undertakes an analysis of publicly posted videos sharing debtors' strategies for responding to overzealous credit collection agencies during the earliest stages of the pandemic lockdown. It examines how Chinese debtors and credit collection callers responded to the uncertainties surrounding the handling of personal debts when the debtors' economic activities are heavily restricted. Both parties invoked different imagined collectivities to establish their own moral justifications with regards to debt obligations, state regulations and family values. The paper argues for a recognition of the capacity of debt to collectivize people through loose discursive formations that remoralize debt, recasting the defaulter status as morally acceptable and reshaping their defaulter identities. The imaginative and discursive space built upon debt's collectivizing potential presents a valuable analytical tool for understanding the social dimensions of debt and the dynamic emerging of financial subjectivities in the contemporary era. [ABSTRACT FROM AUTHOR]

This paper investigates the impact of digital reading during educational disruption on science and engineering students' learning experience. Before the pandemic, some studies explored whether university students preferred using printed or digital resources for their academic readings. Amidst the pandemic, online learning became essential. Several studies showed students' preference for printed text. This paper extends a pilot study that was conducted during the first COVID-19 wave in China. A survey consisting of Likert questions and open questions was designed using MS-Forms. The survey was shared with the science and engineering students in Years 2–4 (Levels 1–3) of their study at SWJTU-Leeds Joint School, Southwest Jiaotong University in Chengdu, China. This covered students from four undergraduate programs: Civil Engineering with Transport, Electronic and Electrical Engineering, Mechanical Engineering, and Computer Science. In total, 223 students participated in this study. The survey was anonymous and was made available to students for a month. The participation rate is nearly 27%. Findings indicate that the behavior of science and engineering students toward digital reading was different than other majors, and it is generally favorable. The necessity for online learning during educational disruption has encouraged some students to develop their digital reading skills. [ABSTRACT FROM AUTHOR]