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Aim To explore the impact of coronavirus-2019 disease (COVID-19) pandemic on emergency reper-fusion characteristics in patients with ST-segment elevation myocardial infarction (STEMI) from non-epicenter. Methods This was a retrospective study involved STEMI patients undergoing primary percutaneous coronary intervention (PPCI), who admitted to chest pain center in our hospital during the pandemic ( from January 23 to March 29 in 2020) and the same period in 2019, excluding the patients with COVID-19. Clinical characteristics and reperfusion parameters were compared between the two groups. Results A total of 64 STEMI patients undergoing PPCI were enrolled in our study, including 13 patients during the pandemic and 51 patients during the same period in 2019. No differences occurred in admission signs, GRACE scores, arrival periods, transferred patterns,the period from door to troponin,and the period from first medical contact to dual antiplatelet between the two groups ( P>0. 05). As compared with 2019, STEMI patients undergoing PPCI had an apparent reduction. Meanwhile, significant delays appeared in reperfusion parameters, in-cluding the period from symptom onset to first medical contact (10 h vs. 3. 0 h, P<0. 001), the period from first medical contact to electrocardiogram (6 min vs. 3 min, P<0. 001), the period from door to troponin (15 min vs. 12 min, P = 0. 048), the period from door to device (76 min vs. 62 min, P = 0. 017), the period from telephone to catheter activated (15 min vs. 5 min, P<0. 001) and the period from catheter arrival to device (52 min vs. 41 min, P = 0. 033). Conclusion Even in non-epicenter, the COVID-19 outbreak still delayed mechanical reperfusion significantly. © 2022, Editorial Office of Chinese Journal of Arteriosclerosis. All rights reserved.
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Objective Based on text mining technology and biomedical database, data mining and analysis of coronavirus disease 2019 (COVID-19) were carried out, and COVID-19 and its main symptoms related to fever, cough and respiratory disorders were explored. Methods The common targets of COVID-19 and its main symptoms cough, fever and respiratory disorder were obtained by GenCLiP 3 website, Gene ontology in metascape database (GO) and pathway enrichment analysis, then STRING database and Cytoscape software were used to construct the protein interaction network of common targets, the core genes were screened and obtained. DGIdb database and Symmap database were used to predict the therapeutic drugs of traditional Chinese and Western medicine for the core genes. Results A total of 28 gene targets of COVID-19 and its main symptoms were obtained, including 16 core genes such as IL2, IL1B and CCL2. Through the screening of DGIdb database, 28 chemicals interacting with 16 key targets were obtained, including thalidomide, leflunomide and cyclosporine et al. And 70 kinds of Chinese meteria medica including Polygonum cuspidatum, Astragalus membranaceus and aloe. Conclusion The pathological mechanism of COVID-19 and its main symptoms may be related to 28 common genes such as CD4, KNG1 and VEGFA, which may participate in the pathological process of COVID-19 by mediating TNF, IL-17 and other signal pathways. Potentially effective drugs may play a role in the treatment of COVID-19 through action related target pathway.Copyright © 2022 Tianjin Press of Chinese Herbal Medicines. All Rights Reserved.
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Coronavirus disease 2019 (COVID-19) is still spreading worldwide. At present, no specific drug has been developed for the virus. Ulinastatin plays an important role in anti-inflammatory. Clinically, it is mainly used in acute pancreatitis, shock and disseminated intravascular coagulation. It also has the effects of antioxidant stress, anticoagulation and immune regulation, which may be of great significance to reduce the severity and mortality of COVID-19. Combined with the pharmacological effect of ulinastatin and its clinical application in the treatment of COVID-19 complications such as acute respiratory distress syndrome and sepsis lung injury, this paper discusses the feasibility of its application in COVID-19, so as to provide help for the clinical treatment and new drug research and development of this disease.Copyright © 2022 Tianjin Press of Chinese Herbal Medicines. All Rights Reserved.
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Objective: To examine COVID-19 vaccine uptake and its determinants among teenagers and their parents in Zhejiang, China. Method(s): An online cross-sectional study was conducted among parents of teenagers in Zhejiang, China from May 1 to 31, 2022. Data were interpreted via univariate and multivariate analyses using the statistical package for the social sciences (SPSS) program. Result(s): A total of 11115 (96.11%) participants and 11449 (99.00%) of their children in Zhejiang, China had been vaccinated against COVID-19. Children whose parents did not receive COVID-19 vaccination were 19 times (aOR 18.96, 95%CI 12.36-29.08) more likely to be unvaccinated than their counterparts. In addition, children with no previous influenza vaccination, those whose parents doubted the COVID-19 vaccine's safety or effectiveness, were 6.11 times (aOR 6.11, 95%CI 2.80-13.34), 8.27 times (aOR 8.27, 95%CI 5.33-12.83), and 2.69 times (aOR 2.69, 95%CI 1.11-6.50) more likely to be unvaccinated than their counterparts, respectively. COVID-19 vaccine uptake varied between different sociodemographic groups. However, the odds of receiving the COVID-19 vaccine decreased as age and education level increased. The main refusal reasons claimed by participants were that they had medical conditions that may not qualify them for vaccination (53.78%), followed by safety concerns about the vaccine (13.56%), not knowing where to get vaccinated (6.44%), and concerns about fertility issues (5.56%). Conclusion(s): Despite a highly encouraging level of COVID-19 vaccine uptake in Zhejiang, China, the elderly and highly educated people had lower COVID-19 vaccine uptake. It is suggested that tailored health education strategies should be taken to increase the COVID-19 vaccine uptake in such groups. Furthermore, with vaccination rates at such a high level, the pandemic is still ongoing, and public confidence in vaccines may decline. Thus, sufficient evidence-based information regarding COVID-19 vaccines should be provided to the public. Copyright © 2023 Asian Pacific Journal of Tropical Medicine.
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Objective: To examine COVID-19 vaccine uptake and its determinants among teenagers and their parents in Zhejiang, China. Methods: An online cross-sectional study was conducted among parents of teenagers in Zhejiang, China from May 1 to 31, 2022. Data were interpreted via univariate and multivariate analyses using the statistical package for the social sciences (SPSS) program. Results: A total of 11115 (96.11%) participants and 11449 (99.00%) of their children in Zhejiang, China had been vaccinated against COVID-19. Children whose parents did not receive COVID-19 vaccination were 19 times (aOR 18.96, 95%CI 12.36-29.08) more likely to be unvaccinated than their counterparts. In addition, children with no previous influenza vaccination, those whose parents doubted the COVID-19 vaccine's safety or effectiveness, were 6.11 times (aOR 6.11, 95%CI 2.80-13.34), 8.27 times (aOR 8.27, 95%CI 5.33-12.83), and 2.69 times (aOR 2.69, 95%CI 1.11-6.50) more likely to be unvaccinated than their counterparts, respectively. COVID-19 vaccine uptake varied between different sociodemographic groups. However, the odds of receiving the COVID-19 vaccine decreased as age and education level increased. The main refusal reasons claimed by participants were that they had medical conditions that may not qualify them for vaccination (53.78%), followed by safety concerns about the vaccine (13.56%), not knowing where to get vaccinated (6.44%), and concerns about fertility issues (5.56%). Conclusions: Despite a highly encouraging level of COVID-19 vaccine uptake in Zhejiang, China, the elderly and highly educated people had lower COVID-19 vaccine uptake. It is suggested that tailored health education strategies should be taken to increase the COVID-19 vaccine uptake in such groups. Furthermore, with vaccination rates at such a high level, the pandemic is still ongoing, and public confidence in vaccines may decline. Thus, sufficient evidence-based information regarding COVID-19 vaccines should be provided to the public.
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Objective To analyze the clinical features of patients with coronavirus disease 2019COVID-19in Wuhan, and we provide reference for further prevention and control of the disease. Methods We collected the clinical data of patients with COVID-19 in Dongxihu Shelter Hospital of Wuhan from February 7 to March 6, 2020. The main symptoms, blood test results, lung CT results, and nucleic acid negative conversion were analyzed. Results A total of 654 patients were included, 17526.76%were mild, and 47973.24%were general. There were 344 males (52.60%), and 310 females (47.40%). The patients were with a mean age of49.36+/-10.30years, and 97 patients (14.83%) with a history of hypertension, 51 patients (7.80%) had a history of diabetes. The main clinical symptoms were fever with 547(83.64%) patients, 186 cases (28.44%) had chills, 15 cases (2.29%) had shiver, 342(52.29%) had fatigue symptoms, 413(63.15%) had cough, 137(20.95%) had chest tightness, and 109(16.67%) had diarrhea during the course of the disease. Blood routine tests of 395 patients, the white blood cell count (WBC) was (4.12+/-1.46)x109/L. The total white blood cell count was normal in 378 cases(95.70%), increased in 7(1.77%), and decreased in 10(2.53%). The lymphocyte percentage was (23.10+/-10.02)%, lymphocyte1.06+/-0.37x109/L. The percentage and count of lymphocyte were low. All the 654 cases were examined by CT, 175 cases (26.76%) showed normal lung CT, 422 cases (64.52%) showed patchy or segmental ground-glass opacity, and 57 cases (8.72%) showed multilobar consolidation, ground-glass shadow coexisted with consolidation or streak shadow. The interval between positive nucleic acid test before admission and negative test after admission was as short as 5 days and as long as 24 days, the average was (12.35+/-3.73) days. Conclusion Fever, coughing, and fatigue are the main symptoms in patients with COVID-19. The typical lung CT findings can be used as the basis for clinical diagnosis and disease evaluation. Patients with mild and common type had better prognosis.Copyright © 2021 Editorial Office of Chinese Journal of Schistosomiasis Control. All rights reserved.
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The COVID-19 epidemic is running at a high level globally, affecting all aspects of society, and medical education is no exception. With the rapid development of medical science, continuing medical education is an important way for medical workers to receive lifelong education. Meanwhile, attending continuing medical education is an inevitable requirement to ensure clinical ability. Under the background of normalization of epidemic prevention and control and the new situation of medical development, the management of continuing medical education in hospitals must follow the current situation and keep pace with the times. Therefore, the Internet support system to continuing education has emerged. This study used PDSA method to explore the construction of the regional center of continuing medical education through Internet under the background of normalization of epidemic prevention and control, aiming to promote the integration of medical education resources under the new situation, expand the learning channels of medical staff, and improve the level of medical education and teaching. © 2022 IEEE.
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State and local governments have imposed health policies to contain the spread of COVID-19 since it had a serious impact on human daily life. However, the public stance on these measures may be time-varying. It is likely to escalate the infection in the area where the public is negative or resistant. To take advantage of the correlation between public stance on health policies and the COVID-19 statistics, we propose a novel framework, Multitask Learning Neural Networks for Pandemic Prediction with Public Stance Enhancement (MP3), which is composed of three modules: (1) Stance awareness module to make stance detection on health policies from users' tweets in social media and convert them into a stance time series. (2) Temporal feature extraction module that applies Convolution Neural Network and Recurrent Neural Network to extract and fuse local patterns and long-term correlations from COVID-19 statistics. Moreover, a Stance Latency-aware Attention is proposed to capture dynamic social effects and fuse them with temporal features. (3) Multi-task prediction module to adopt Graph Convolution Network to model the spread of pandemic and employ multi-task learning to simultaneously predict COVID-19 statistics and the trend of public stance on health policies. The proposed framework outperforms state-of-the-art baselines on both confirmed cases and deaths prediction tasks. © 2022 IEEE.
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Purpose: This study examines the firm-level financial consequences caused by supply chain disruptions during COVID-19 and explores how firms' supply chain diversification strategies, including diversified suppliers, customers and products, moderate the negative effect on firm performance. Design/methodology/approach: Based on data drawn from 222 publicly traded firms in China, the authors use event study methodology to estimate the effects of supply chain disruptions on the financial performance of affected firms. Regression analyses are conducted to examine the moderating effects of supply chain diversification. Findings: Firms affected by supply chain disruptions during COVID-19 experienced a significant decline in shareholder value in two weeks and a subsequent decrease in operating performance in one year. Diversified suppliers, customers and products act as shock absorbers to alleviate the negative effects. Further regression shows a substitution effect between customer and product diversification. Cross-industry comparisons reveal that service firms experienced more loss than manufacturing firms. Customer diversification mitigates the adverse effects of supply chain disruptions for both manufacturing and service firms. Supplier diversification exerts a noteworthy role in manufacturing firms, while product diversification is beneficial for service firms. Originality/value: The study provides empirical evidence on the magnitude of financial consequences of supply chain disruptions during COVID-19 in both the short term and long term and enriches the current understanding of how to build resilience from the supply chain diversification perspective. © 2023, Emerald Publishing Limited.
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Objective The objective of this study was to investigate the basic needs of medical staff during the coronavirus disease 2019 pandemic in a fever clinic, so as to provide a reference for the global epidemic medical teams. Methods A semi-structured qualitative interview outline was designed, including: (1) work level: Working hours, working intensity, and safety guarantee in a fever clinic;(2)life level: Diet, sleep, and physical comfort;(3)psychological level: Emotion, pressure, coping style, and interpersonal resources. The basic needs of the first batch of the fever clinic in Peking Union Medical College Hospital was studied by open telephone interviews. Results A total of 37 medical staff were interviewed, including 8 males (21.6%) and 29 females (78.4%). Among them, there were 16 doctors (43.2%), 19 nurses (51.4%), and 2 medical technicians (5.4%). In terms of work settings, the ideal continuous working time was 4-6 hours per shift. There should be pro re nata positions during extremely high workload, and sufficient personal protective equipment was the key to safety. In terms of living conditions, providing meals according to different shifts was important for dietary needs, and sleeping pills were temporarily needed for sleep. In terms of psychological reactions, nervousness and worrying were relatively common. Family and colleagues were important resources of support. Sport could help relieve physical and psychological stress, and psychological support from psychologists was helpful in reducing their negative emotions. Conclusions The basic needs of medical staff should be respected so as to keep the efficacy of their work. We suggest that medical staff can rest after each 4-6 h working shift. Personal protective equipment should be sufficient. Psychological support should be noted in all of them and provided when necessary.Copyright © 2021, Peking Union Medical College Hospital. All rights reserved.
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Epidemics and their resulting pandemics have become essential factors influencing economic development, financial stability, poverty, and ultimately a country's innovation level, including green technology innovation. This research thus investigates epidemic events' correlation to green innovation by operating with skewed panel data involving 134 countries from 1971 to 2018 and provides compelling proof that Epidemics have a detrimental effect on green innovation, not only for the current year but also for the next six years. We also show that the quality of institutions and financial development levels weaken epidemics' detrimental effects on green innovation. Overall, the findings would draw particular attention from policymakers.
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Objective To analyze the epidemiological and genomic characteristics of COVID-19 cases imported by land in Ruili, and to provide reference for border epidemic prevention and control in Yunnan Province. Methods We collected information about SARS-CoV-2 infected individuals from overseas land in Ruili, Yunnan from July to November, 2021. The epidemiological characteristics were statistically analyzed. The second-generation sequencing platform of Illumina was used to conduct high-through-put sequencing on the selected 40 positive samples and to analyze their genotyping and variation characteristics. Results During the study period,Ruili City reported 796 COVID-19 cases from abroad.The median age of COVID-19 cases was 28.5 years (Interquantile range 10, range 1–85). The gender ratio between men and women was 4.61 : 1, Most of these infected individuals engaged in business services, accounting for 49.75% (396/796) , 95.60% of COVID-19 cases were mild and moderate cases. The sequencing results of 34 cases can be divided into three clades according to Nextstrain typing method, including 24 cases belong to 21A(Delta) clade, 9 cases belong to 21I(Delta) clade and 1 case belongs to 20I (Alpha V1) clade. Conclusions The virus genotypes of the cases in this study were mainly divided into three branches and there were some differences among them, most of which were Delta mutants.We should continue to implement border control measures and continue to monitor the virus mutation of imported cases, so as to evaluate the threat of the mutant strain to the current situation of epidemic prevention and control in Yunnan Province. © 2023, Publication Centre of Anhui Medical University. All rights reserved.
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Accurate segmentation of infected areas in computed tomography (CT) images of the lungs of patients with novel coronavirus pneumonia (COVID-19) can assist doctors in diagnosing the patient's condition. This paper proposes an end-to-end new coronary pneumonia lung CT image segmentation model: SCA-Unet, which introduces the Cascading Context Module in the skip connection to expand the receptive field while retaining the context information of different layers to the greatest extent. At the same time, an Adaptive Select Module is added before each decoding layer to enhance the model's attention to segmentation targets and capture long-range dependencies. Experiments show that the model can better segment the infected area of COVID-19 patients, especially the infected area that is not easy to be segmented in the early stage, and each segmentation index is better than multiple comparison methods. © 2022 IEEE.
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The Covid-19 pandemic has provided second language (L2) learners with additional challenges regarding how to obtain an enjoyable experience while achieving a better learning attainment. Despite a growing body of studies that substantiated the predictive effect of grit, foreign language enjoyment (FLE), and foreign language classroom anxiety (FLA) on Chinese language achievement (CLA), no previous research has explored their predictive effects in online L2 Chinese learning. To address this gap, this study clarifies the nature of the complex correlation between grit, FLE, FLA, and online CLA by analyzing 169 responses from Arabic multilingual learners using structural equation modelling. The results indicate that: (i) FLE, not FLA, significantly predicts online L2 CLA;(ii) FLE acts as a positive mediator between grit and online L2 CLA;and (iii) FLE has a stronger impact in catalyzing an individual's online L2 success. This study enriches the applicability of the broaden-and-build and control-and-value theories in the field of Chinese language learning. We hope that this study will serve as a call for further attention to emotions and grit, especially for languages other than English, in order to advance the growth of positive psychology in L2 learning and teaching. © 2023 Informa UK Limited, trading as Taylor & Francis Group.
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COVID-19 has caused global concern and called for emergency response measures. In this continuous epidemic crisis, ethics has suffered unprecedented huge impact and challenges. It is the responsibility of contemporary ethics to reflect on the moral dilemma existing in itself and in the world. Therefore, ethics must stand the test and provide legitimate reasons for how to give full play to relevance and availability in this global crisis. The theory of rule ethics, which focuses on the realization of moral obligations and rights, is obviously unable to adapt to the response to the demand for ethical responsibility in special periods. The ability to take moral actions against others requires the intervention of "empathy" and "care" factors to realize the possibility of changing from heteronomy to self-discipline. Caring ethics emphasizes that "empathy" and "care" should be wisely regarded as an important value under the COVID-19 epidemic, so as to minimize the possible of the COVID-19 spread and its mutation and escalation in daily interpersonal communication, and create more meaningful ethical relationships with others by being responsible for and caring for others. At the same time, caring ethics further emphasizes that ignoring the cognition may lead to continuous psychological impact, making it difficult to reconstruct a harmonious social psychological situation. © 2023, Editorial department of Chinese Medical Ethics. All rights reserved.
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Since the outbreak of the COVID-19 pandemic, power generation and the associated CO2 emissions in major countries have experienced a decline and rebound. Knowledge on how an economic crisis affects the emission dynamics of the power sector would help alleviate the emission rebound in the post-COVID-19 era. In this study, we investigate the mechanism by which the 2008 global financial crisis sways the dynamics of power decarbonization. The method couples the logarithmic mean Divisia index (LMDI) and environmentally extended input-output analysis. Results show that, from 2009 to 2011, global power generation increased rapidly at a rate higher than that of GDP, and the related CO2 emissions and the emission intensity of global electricity supply also rebounded;the rapid economic growth in fossil power-dominated countries (e.g., China, the United States, and India) was the main reason for the growth of electricity related CO2 emissions;and the fixed capital formation was identified as the major driver of the rebound in global electricity consumption. Lessons from the 2008 financial crisis can provide insights for achieving a low-carbon recovery after the COVID-19 crisis, and specific measures have been proposed, for example, setting electricity consumption standards for infrastructure construction projects to reduce electricity consumption induced by the fixed capital formation, and attaching energy efficiency labels and carbon footprint labels to metal products (e.g., iron and steel, aluminum, and fabricated metal products), large quantities of which are used for fixed capital formation. © 2023 The Authors
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Sanrentang,originally contained in the Regulations on Febrile Diseases written by WU Ju-tong in the Qing dynasty,was composed of eight traditional Chinese herbs to treat damp-warm diseases. It is a treatment method of gradually clearing away damp heat of tri-jiao,with characteristics of separating dispersion and mobilizing discharge. "Separating dispersion" means dispersion in separated ways,with different ways to eliminate dampness to export the dampness,heat,evil and turbid out of the body. "Mobilizing discharge" means discharge to stretch and unblock the Qi,to get rid of dampness and evil. It can be seen,Sanrentang,as a desiccating formula,taking "separating dispersion and mobilizing discharge" as the cubic basis,has a significant effect on both internal and external dampness associated with pathogenic heat syndrome,and its clinical application is quite extensive. After consulting the data of the past 10 years,the authors gave a brief overview on the syndrome theory,clinical application and pharmacological effects of Sanrentang, and elaborated the therapeutic effect and pharmacological effect of Sanrentang in the clinical application of upper,middle and lower Tri-jiao respectively,providing theoretical reference for effective development and utilization of Sanrentang. Coronavirus disease-2019(COVID-19)swept the world in early 2020 and it is a great challenge for the medical community to seek for effective prevention and treatment methods. For COVID-19,although the cause of the disease belongs to the Qi of "pestilence",many doctors have different opinions on the pathogenic characteristics. However,they all agree with the clinical characteristics of "dampness". COVID-19,which has the attribute of "dampness evil",is so sticky that it can't be cured at once. In addition to the main symptoms such as fever and cough,it is also characterized by the middle-jiao dampness symptoms such as poor appetite,fullness of abdomen,loose stool and diarrhea. It is worthy to further explore the application prospect of Sanrentang in COVID-19 prevention and treatment.Copyright © 2021, China Academy of Chinese Medical Sciences Institute of Chinese Materia Medica. All rights reserved.
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Background: The outbreak of coronavirus disease 2019 (COVID-19) has created significant challenges in the management of oncology patients, including patients with colorectal cancer (CRC). We suspect that the COVID-19 pandemic had a major impact on the number of CRC inpatients and outpatients, which might leave many CRC patients unable to get timely medical treatment. At the time, the most important task was to satisfy the imperious demand for rapid optimization of processes and the development of efficient and effective triage and treatment strategies, as well as emergency distant clinical reasoning. Methods: The number of outpatients and inpatients, as well as surgeries performed in Shanghai East Hospital from December 2019 to February 2020 were collected. Using December 2019 data as the baseline status before the pandemic, the changes during this period were analyzed which can reflect the impact of COVID-19 on the treatment of CRC patients. In addition, a triage system and management strategy for patients with CRC during COVID-19 were designed and implemented. To evaluate their effectiveness, we assessed COVID-19 infection rates among CRC patients in relation to total patients and healthcare staff. Result: Compared with the pre-COVID-19 period (December 2019), a drastic decline in the number of outpatient visits (2,789 to 120) and inpatient hospitalizations (207 to 50) for all the CRC patients, as well as in non-emergency colorectal surgeries (133 to 23), was observed in February 2020 at our hospital. Conclusion: A multidisciplinary triage strategy aligned with regional guidance and digital, artificial intelligence (AI)-technology solutions can help increase the efficacy in patient management, allow efficient access to care and reduce the incidence of COVID-19 among CRC patients. © 2022 The HealthBook Company Ltd. All Rights Reserved.
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Aiming at the problem of improper dispatch of emergency medical materials under public health emergencies, a two-stage model of emergency medical materials distribution path was constructed. In the first stage, considering the distribution characteristics of emergency medical materials and the fairness and efficiency of the three-level logistics network of "distribution center-distribution cen-ter-designated hospital',the matching model of emergency medical materials was established. In the second stage, based on the traditional distribution path model,the problem of deterioration of special materials was considered, and the path planning model of emergency medical materials was established with the sum of driving distance, time penalty and deterioration penalty as the goal. The NSGA- II algorithm and LKH solver were used to solve the two-stage model, and the actual situation during the COVID~19 epidemic was taken as an example to verify it. The results show that the two-stage model and the algorithm adopted can well balance the two goals of fairness and efficiency, so as to provide a reasonable distribution plan according to the supply of emergency medical resources and realize the rapid transfer of emergency medical materials. © 2023 Wuhan University of Technology. All rights reserved.