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OBJECTIVES: COVID-19 has brought challenges to the health of all mankind. It is particularly important to promote the construction of a 'Healthy China' and build a 'healthy community'. The aims of this study were to construct a reasonable conceptual framework for the Healthy City concept and to assess Healthy City construction in China. STUDY DESIGN: This study combined qualitative and quantitative research. METHODS: This study proposes the concept model of 'nature-human body-Healthy City' and accordingly constructs an evaluation index system for the construction of a Healthy City that integrates five dimensions, namely, the medical level, economic basis, cultural development, social services, and ecological environment to explore the spatial and temporal heterogeneity of Healthy City construction in China. Finally, the influencing factors of Healthy City construction patterns are explored using GeoDetector. RESULTS: (1) The pace of Healthy City construction is generally on the rise; (2) the construction of Healthy Cities exhibits significant global spatial autocorrelation and gradually increasing agglomeration. The spatial distribution of cold hotspot areas was relatively stable; (3) medical and health progress is an important factor; the level of economic development is the leading support; the endowment of resources and environment is the basic condition; public service support provides important support; and scientific and technological innovation capabilities provide technical support for the construction of a Healthy City. CONCLUSIONS: The spatial heterogeneity of Healthy City construction in China is evident, and the state of spatial distribution is relatively stable. The spatial pattern of Healthy City construction is shaped by a combination of factors. Our research will provide a scientific basis for promoting the construction of Healthy Cities and helping to implement the Health China Strategy.
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Objective To analyze the status of job satisfaction of human organ donation coordinators in Fujian province during the normalization period of novel coronavirus pneumonia (COVID-19) epidemic prevention and control and put forward corresponding suggestions. Methods The job satisfaction of human organ donation coordinators in Fujian province was investigated by online questionnaires. The correlation analysis of all dimensions of the overall job satisfaction of human organ donation coordinators was carried out, and the influencing factors of the overall job satisfaction were analyzed. Results The overall job satisfaction of human organ donation coordinators was (2.9 0.8), which was a relatively low score. The job promotion satisfaction was (4.7 1.3), (2.0 1.4) for the job pay and benefits satisfaction, and (2.0 1.3) for the job communication satisfaction. The job pay and benefits satisfaction was positively correlated with job communication satisfaction -0.653 , P<0.05). Multiple factors differed in job satisfaction. The overall job satisfaction of human organ donation coordinators was associated with gender, nature of job, working years, average monthly income, age, educational background and nature of post. Conclusions The job satisfaction of human organ donation coordinators is relatively low in Fujian province during the normalization period of COVID-19 epidemic prevention and control. Flexible and diverse methods should be employed from the government and hospital levels to further improve security policies for human organ donation coordinators.Copyright © 2021 Journal of Zhongshan University. All right reserved.
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The spread of COVID-19 in the world has changed the way of life, economy, society, learning, and work around the world. Under the background of normalization of epidemic prevention and control, how to carry out overseas Chinese education and how to affect overseas Chinese education is an important issue with scholars in China and abroad and overseas Chinese. How to effectively deal with the international situation after the outbreak of the epidemic and how to determine the future developmental direction of overseas Chinese education is an important goal and direction that researchers need to study in depth. Based on the perspective of teaching effect evaluation of blended learning mode under the background of artificial intelligence, this article takes ASEAN Phuket Thai Chinese Schools as an example, collects relevant research data through a grounded survey method, adopts a quantitative analysis method, comprehensively judges the impact of overseas Chinese education after the outbreak of the epidemic, and puts forward systematic, comprehensive, and scientific suggestions. It is hoped that the decision-making mechanism and method innovation of overseas Chinese education in response to COVID-19 will be effectively promoted, and the effective development of overseas Chinese education will be actively promoted.
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Depression has a large impact on one’s personal life, especially during the COVID-19 pandemic. People have been trying to develop reliable methods for the depression detection task. Recently, methods based on deep learning have attracted much attention from the research community. However, they still face the challenge that data collection and annotation are difficult and expensive. In many real-world applications, only a small number of or even no training data are available. In this context, we propose a Prompt-based Topic-modeling method for Depression Detection (PTDD) on low-resource data, aiming to establish an effective way of depression detection under the above challenging situation. Instead of learning discriminating features from a small amount of labeled data, the proposed framework turns to leverage the generalization power of pretrained language models. Specifically, based on the question-and-answer routine during the interview, we first reorganize the text data according to the predefined topics for each interviewee. Via the prompt-based framework, we then predict whether the next-sentence prompt is emotionally positive or not. Finally, the depression detection task can be achieved based on the obtained topicwise predictions through a simple voting process. In the experiments, we validate the effectiveness of our model under several low-resource data settings. The results and analysis demonstrate that our PTDD achieves acceptable performance when only a few training samples or even no training samples are available. IEEE
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Purpose: Multinational small-to-medium-sized enterprises (SMEs) are increasingly participating in cross-border digital platforms – especially amid the COVID-19 pandemic. Accordingly, knowledge integration (KI) has become more and more important. In fact, it has been deemed by many as the key to organizational resilience. Given this burgeoning phenomenon, this study aims to explore a path for improving the resilience of multinational SMEs. Through this process, this study also finds a relationship between the KI processes associated with adopting global digital platforms and the resiliency of local–global businesses. Hence, in part, this paper also explores the effectiveness of all these mechanisms. Design/methodology/approach: This study used the stepwise regression method in Stata 16.0 to analyze the direct effects of both horizontal and vertical KI processes on the resilience of local–global businesses. Additionally, t-tests were also used to compare the differences in coefficients between the mechanisms. The sample analyzed comprised data on multinational manufacturing SMEs in the Yangtze River Delta region of China who are using global digital platforms. Findings: The KI processes of these firms, both horizontal and vertical, positively correlate to resilience. Horizontal KI processes more efficiently increase the resilience of global businesses, whereas vertical processes more efficiently increase the resilience of local businesses. Originality/value: First, this study provides insights into how multinational SMEs can improve their resilience in a crisis. In addition to adding to the knowledge of KI processes, this expands the KM literature on pandemics. Second, by creating two KI processes based on global digital platforms and discussing their influence on resilience, this research deepens the understanding of affordance in the KM literature. Third, focusing on the KI research stream, the results shed light on how KI processes might occur and how firms develop their KI processes. © 2022, Emerald Publishing Limited.
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PurposeMultinational small-to-medium-sized enterprises (SMEs) are increasingly participating in cross-border digital platforms - especially amid the COVID-19 pandemic. Accordingly, knowledge integration (KI) has become more and more important. In fact, it has been deemed by many as the key to organizational resilience. Given this burgeoning phenomenon, this study aims to explore a path for improving the resilience of multinational SMEs. Through this process, this study also finds a relationship between the KI processes associated with adopting global digital platforms and the resiliency of local-global businesses. Hence, in part, this paper also explores the effectiveness of all these mechanisms. Design/methodology/approachThis study used the stepwise regression method in Stata 16.0 to analyze the direct effects of both horizontal and vertical KI processes on the resilience of local-global businesses. Additionally, t-tests were also used to compare the differences in coefficients between the mechanisms. The sample analyzed comprised data on multinational manufacturing SMEs in the Yangtze River Delta region of China who are using global digital platforms. FindingsThe KI processes of these firms, both horizontal and vertical, positively correlate to resilience. Horizontal KI processes more efficiently increase the resilience of global businesses, whereas vertical processes more efficiently increase the resilience of local businesses. Originality/valueFirst, this study provides insights into how multinational SMEs can improve their resilience in a crisis. In addition to adding to the knowledge of KI processes, this expands the KM literature on pandemics. Second, by creating two KI processes based on global digital platforms and discussing their influence on resilience, this research deepens the understanding of affordance in the KM literature. Third, focusing on the KI research stream, the results shed light on how KI processes might occur and how firms develop their KI processes.
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Objective To analyze the status of job satisfaction of human organ donation coordinators in Fujian province during the normalization period of novel coronavirus pneumonia (COVID-19) epidemic prevention and control and put forward corresponding suggestions. Methods The job satisfaction of human organ donation coordinators in Fujian province was investigated by online questionnaires. The correlation analysis of all dimensions of the overall job satisfaction of human organ donation coordinators was carried out, and the influencing factors of the overall job satisfaction were analyzed. Results The overall job satisfaction of human organ donation coordinators was (2.9 士 0.8), which was a relatively low score. The job promotion satisfaction was (4.7 土 1.3)， (2.0 土 1.4) for the job pay and benefits satisfaction, and (2.0 土 1.3) for the job communication satisfaction. The job pay and benefits satisfaction was positively correlated with job communication satisfaction —0.653 ， P<0.05). Multiple factors differed in job satisfaction. The overall job satisfaction of human organ donation coordinators was associated with gender, nature of job, working years, average monthly income, age, educational background and nature of post. Conclusions The job satisfaction of human organ donation coordinators is relatively low in Fujian province during the normalization period of COVID-19 epidemic prevention and control. Flexible and diverse methods should be employed from the government and hospital levels to further improve security policies for human organ donation coordinators. © 2021 Journal of Zhongshan University. All right reserved.
Subject(s)
Angiotensin-Converting Enzyme 2/biosynthesis , COVID-19/metabolism , COVID-19/physiopathology , Intestines/virology , SARS-CoV-2 , Tryptophan/deficiency , Animals , Cytokines/metabolism , Epithelial Cells/metabolism , Inflammation , Intestinal Mucosa/metabolism , Kynurenine/blood , Lipopolysaccharides/metabolism , Mice , Mice, Knockout , Phenotype , Recombinant Proteins/metabolism , Spike Glycoprotein, Coronavirus/metabolism , Tryptophan/bloodABSTRACT
The COVID-19 pandemic has brought a brand-new challenge to the design and management of the air transportation network (ATN). Many countries have partially or entirely shut down their international flights during this period to contain the spread of COVID-19. However, the changes in the international connectivity of different countries during this period varied greatly, as the ATNs of different countries have different structures. Accordingly, this paper studies the impact of network topology on the international robustness of a country?s ATN to pandemic-induced disruptions. Therein, a Weighted International Efficiency metric is proposed to evaluate a country?s connectivity to other countries, followed by deriving an International Robustness metric that measures the ability of a country?s ATN to maintain international connections during pandemics. Further, three internal and external topological metrics are defined to characterize the structure of an ATN. The results of correlation and regression analysis show that the proportion of international airports inside a country is the most important factor in determining its international robustness to pandemics, followed by the density of the domestic connections. Surprisingly, the number of directly connected foreign cities has little effect on international robustness. The analysis demonstrates the importance of studying ATN topology during emergencies. IEEE
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Background: Early differential diagnosis of coronavirus disease 2019 (COVID-19) and Mycoplasma Pneumonia (MP) are hampered by non-specific symptoms, the lack of rapid responding laboratory measures and the presence of family aggregation. Chest computed tomography (CT) plays a significant role to detect the distribution, density and morphology of lesions caused by either COVID19 or MP. Objectives: To compare the symptoms, laboratory parameters, and chest CT results of adults with COVID-19 and MP and to assess the use of these findings in the differential diagnosis of these diseases. Patients and Methods: The initial clinical manifestations, laboratory results, and chest CT findings of 45 adult patients with COVID19 (COVID-19 group) and 55 adult patients with MP (MP group) were reviewed retrospectively. All of the patients were diagnosed in the public hospitals in the epidemic area from 20 January to 28 February 2020. Results: Muscle ache and fatigue were more frequently present in the COVID-19 group (P = 0.009 and 0.029, respectively). Increased procalcitonin levels were more common in the MP group (P = 0.001). The chest CT results indicated that bilateral lung involvement, ground glass opacities, “crazy-paving” patterns, and air bronchogram signs were more common in the COVID-19 group (P < 0.001 for all), respectively. However, single lobe involvement, pulmonary consolidations, lobular central nodules, generalized bronchial wall thickening with luminal stenosis, and bronchial mucus impaction were more common in the MP group (P < 0.001 for all). Receiver operating characteristic analysis of a model established using CT parameters indicated a good or excellent performance in distinguishing COVID-19 from MP. Conclusion: COVID-19 and MP have similar clinical manifestations and laboratory results in early stage. However, the chest CT findings are valuable in the differential diagnosis of these two diseases, particularly in patients from COVID-19 epidemic areas.
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At present, the prevention and control of new coronavirus has entered a critical period. However, the use of quantitative real-time PCR (qRT-PCR)assays for the detection of viral nucleic acid, as a crucial diagnostic approach, has been doubted in clinical practice. Herein, we have reviewed the current status of epidemic prevention and control, latest development of detection technologies, disease characteristics, clinical sampling and transport. It has also discussed the factors that may affect the performance of viral nucleic acid detection, and suggested some effective methods to improve the detection performance of the assays.
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Background: The COVID-19 outbreak poses challenges to people across the world and puts marginalized populations in an even more precarious position. Migrant workers, with their marginal socio-legal status in host countries, are especially vulnerable during the pandemic. The wellbeing of migrant workers, specifically low-wage laborers, is greatly compromised. Objectives: This study aims to systematically review the existing literature on how epidemic infectious diseases affect the wellbeing of migrant workers and what are the interventions to improve their wellbeing. Method: Following the PRISMA guideline, studies on migrant workers’ wellbeing or interventions to improve wellbeing during five major epidemic infectious diseases (i.e., COVID-19, SARS, Ebola, H1N1, MERS) were searched. Eleven electronic databases were used: Cochrane Library, WHO Global Research COVID-19 database, APA PsycInfo, CINAHL Plus, ERIC, MEDLINE, Social Index, PubMed, ProQuest, Social Care Online and EPPI-Mapper. In total, 17 articles that met the criteria were included. An assessment guide was developed to examine the quality of the studies. Results: Overall, the studies consistently show that major epidemic outbreaks negatively affect the physical, financial, psychological and social wellbeing of migrant workers. Migrant workers face a wide range of challenges such as risks of contagion, job insecurity, psychological distress, and discrimination. Factors associated with migrant workers’ marginal socio-economic status were attributed to these challenges. Several interventions were discussed including increased access to vaccinations, health screening at the border, promotion of hygiene strategies, and financial assistance in medical fees. Discussion: The findings highlight the need for a greater public awareness and stronger response to migrant workers’ wellbeing during an epidemic outbreak. Implications to practice and research were discussed. This review calls for more open-access data to advance research on migrant workers, and evidence-based interventions with a long-term effect. © 2020, International Journal of Wellbeing Charitable Trust. All rights reserved.
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Objective: To analyze the clinical features and death-related risk factors of COVID-19. Methods: We enrolled 891 COVID-19 patients admitted to the Affiliated Hospital of Jianghan University from December 2019 to February 2020, including 427 men and 464 women. Of the 891 cases, 582 were severe or critical, including 423(73%)severe and 159 (27%) critical cases. We compared the demographics, laboratory findings, clinical characteristics, treatments and prognosis data of the 582 severe patients. Univariate and multivariate logistic regression analysis was conducted to explore the risk factors associated with death in COVID-19 patients. Results: The 582 severe patients included 293 males and 289 females, with a median age of 64(range 24 to 106). Sixty-three patients died, including 45 males and 18 females, with a median age of 71(range 37 to 90). The average onset time of the 582 patients was 8 days, of whom 461 (79%) had fever, 358 (62%) dry cough, 274 (47%) fatigue. There were 206 cases with shortness of breath (35%), 155 cases with expectoration (27%), 83 cases with muscle pain or joint pain (14%), 71 cases with diarrhea (12%), and 29 cases with headache (4%). Underlying diseases were present in 267 (46%) patients, most commonly hypertension (194, 33%), followed by diabetes (69, 12%), coronary atherosclerotic heart disease (37, 6%), tumor (18, 3%), and chronic obstructive pulmonary disease (5, 1%). Chest CT showed bilateral lung involvement in 505 patients (87%). Upon admission, the median lymphocyte count of the 582 patients was 0.8(IQR, 0.6-1.1)×10(9)/L, the median D-dimer was 0.5 (IQR, 0.4- 0.8) mg/L, the median N-terminal brain natriuretic peptide precursor (NT-proBNP) was 433 (IQR, 141- 806) pg/L, and the median creatinine was 70.3 (IQR, 56.9-87.9) µmol/L. The death group had a median lymphocyte count of 0.5 (0.4-0.8)×10(9)/L, D-dimer 1.1 (0.7-10.0)mg/L, N-terminal brain natriuretic peptide precursor 1479(893-5 087) pg/ml, and creatinine 89.9(67.1-125.3) µmol/L. Multivariate logistic analysis showed that increased D-dimer (OR: 1.095, 95% CI: 1.045-1.148, P<0.001), increased NT-proBNP (OR: 4.759, 95% CI: 2.437-9.291, P<0.001), and decreased lymphocyte count (OR: 0.180, 95% CI: 0.059-0.550, P=0.003) were the risk factors of death in COVID-19 patients. Conclusions: The average onset time of severe COVID-19 was 8 days, and the most common symptoms were fever, dry cough and fatigue. Comorbidities such as hypertension were common and mostly accompanied by impaired organ functions on admission. Higher D-dimer, higher NT-proBNP, and lower lymphocyte count were the independent risk factors of death in COVID-19 patients.