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1.
Chinese Traditional and Herbal Drugs ; 53(15):4781-4794, 2022.
Article in Chinese | EMBASE | ID: covidwho-2033401

ABSTRACT

Objective To explore the application pattern and mechanism of medicine and food homologous traditional Chinese medicine (TCM) against modern viral diseases. Methods The method of literature mining was applied based on the characteristics of modern viral diseases, combining with ancient books and modern prescriptions for the prevention and treatment of viral diseases to build a relevant prescription database. Then SPSS and R language were used to analyze the high-frequency medicine and food homologous TCM and high confidence medicine and food homologous prescriptions in these prescriptions, and cluster analysis was carried out. The antiviral characteristic active ingredients of high-frequency medicinal and food homologous TCN were identified and analyzed, and the action mechanism of active ingredients against modern viral diseases was evaluate by network pharmacology. Results In the prevention and treatment of modern viral diseases, Gancao (Glycyrrhizae Radix et Rhizoma)-Chenpi (Citri Reticulatae Pericarpium)-Fuling (Poria) had the highest confidence, Glycyrrhizae Radix et Rhizoma-Jiegeng (Platycodonis Radix) had the highest support. At the same time, the prescriptions were clustered and analyzed to obtain Jinyinhua (Lonicerae Japonicae Flos)-Huangqi (Astragali Radix)-Huoxiang (Agastache rugosa), Glycyrrhizae Radix et Rhizoma-Xingren (Armeniacae Semen Amarum)-Poria-Platycodonis Radix-Citri Reticulatae Pericarpium, Ganjiang (Zingiberis Rhizoma)-Renshen (Ginseng Radix et Rhizoma), Zisu (Perilla frutescens)-Gegen (Puerariae Lobatae Radix), Lugen (Phragmitis Rhizoma)-Sangye (Mori Folium), Shengjiang (Zingiberis Rhizoma Recens)-Dazao (Jujubae Fructus) clustering new prescription. The core action targets of EGFR, CASP3, VEGFA, STAT3, MMP9, HSP90AA1, mTOR, PTGS2, MMP2, TLR4, MAPK14, etc were identified. The action mechanism involved human cytomegalovirus infection, coronavirus disease-coronavirus disease 2019 (COVID-19), etc. The core action pathway were phosphatidylinositol-3/kinase protein kinase B (PI3K/Akt) signal pathway, mitogen activated protein kinase (MAPK) signal pathway, interleukin-17 (IL-17) signal pathway, Janus kinase/signal transducer and activator of transcription (JAK/STAT) signal pathway, etc. Conclusion Through data mining, six new prescriptions for preventing and controlling modern viral diseases were obtained, and the mechanism of action was preliminarily discussed, which provided some reference for the research and development of medicine and food homologous TCM prescriptions for the prevention and treatment of viral epidemics and related health products.

2.
Education as Change ; 26:21, 2022.
Article in English | Web of Science | ID: covidwho-1988878

ABSTRACT

The COVID-19 outbreak has had a significant influence on all aspects of society, and it is necessary to comprehend the responses of various stakeholders as well as the challenges that higher education has encountered in the aftermath of the outbreak. This study systematically analyses the measures taken by higher education stakeholders in response to the COVID-19 pandemic and the challenges faced by higher education in the post-COVID-19 era. To analyse the actions taken by higher education stakeholders and the challenges that remain, this study critically analyses government policy documents, reports from international organisations and perspectives of experts in the field of higher education, studies from Chinese journals, and international scientific literature. While stakeholders responded quickly during the outbreak, providing financial and material assistance, developing online learning, and facilitating international student mobility, the study finds that these measures are insufficient when compared to those in other sectors, and higher education stakeholders' responses to COVID-19 have been fragmented, uncoordinated, and fraught with conflict and ambivalence. The study finds that higher education during the COVID-19 pandemic faces multiple challenges, with COVID-19 exacerbating inequities in educational access and educational achievement due to uneven educational infrastructure and resource allocation. The availability of infrastructure and the lack of preparedness of faculty and students have dimmed large-scale experiments in online education. Future international student mobility patterns may need to be restructured.

3.
12th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP) ; : 52-55, 2021.
Article in English | English Web of Science | ID: covidwho-1883137

ABSTRACT

The outbreak of COVID-19 calls for the improvement of infectious disease dynamics model to meet the requirements of future infectious disease's prediction and risk assessment. On the basis of SEIR model, a new transmission dynamics model named as SSEIR is proposed. In order to describe the dynamics evolution of the SSEIR model, a new set of ordinary differential equations (ODE) is constructed. The SSEIR dynamics model is used to simulate and predict the progress of pandemic situation inWuhan, China. Because that the suspected people have different dynamics characteristics from the susceptible people and the exposed people, this paper put them in a new independent category. To describe the dynamics evolution of SSEIR model, a new set of ordinary differential equations (ODE) is constructed. The SSEIR model can be used to simulate and predict the progress of infectious diseases.

4.
Journal of Allergy and Clinical Immunology ; 149(2):AB323-AB323, 2022.
Article in English | Web of Science | ID: covidwho-1798125
5.
Chinese Journal of Pharmaceutical Biotechnology ; 28(6):628-631, 2021.
Article in Chinese | Scopus | ID: covidwho-1786419

ABSTRACT

To study the effect of feedforward nursing quality management control in the disinfection supply room in improving the sterilization qualification rate and reducing the nosocomial infection rate under the coronavirus disease 2019 (COVID-19),the feedforward control of nursing quality management in disinfection supply room were implemented when the COVID-19 occurred.Through the summary analysis of nursing quality factors in disinfection supply room and the analysis of the reasons for nursing quality,the feedforward control management scheme in disinfection supply room was established.Moreover,the qualified rate of sterilization and nosocomial infection rate before and after the implementation of feedforward control of nursing quality management in disinfection supply room were counted respectively.Furthermore,the self-designed questionnaire was used to investigate the satisfaction of clinical medical staff on the use of device before and after the implementation of feedforward control of nursing quality management in disinfection supply room.In that case,the effect of feedforward control of nursing quality management in disinfection supply room was evaluated.The qualification rate of device sterilization,the nosocomial infection rate and the satisfaction rate of clinical medical staff were 95.20%,4.20% and 83.00%,respectively,before the implementation of feedforward nursing quality management control in disinfection supply room.While,the qualification rate of device sterilization,the nosocomial infection rate and the satisfaction rate of clinical medical staff were changed to 99.10%,0.40% and 98.00%,respectively,after the implementation of feedforward nursing quality management control in disinfection supply room,which have statistical differences (P<0.05).The application of feedforward nursing quality management control in the disinfection supply room under the COVID-19 could effectively prevent the spread of the virus through non-disposable medical devices in hospitals,increase the qualification rate of device sterilization,reduce the nosocomial infection rate,and improve the satisfaction of clinical care staff. © 2021, Editorial Board of Pharmaceutical Biotechnology. All right reserved.

6.
COVID-19 AND INTERNATIONAL BUSINESS: Change of Era ; : 321-329, 2021.
Article in English | Web of Science | ID: covidwho-1688375
7.
Acs Es&T Water ; 1(10):2174-2185, 2021.
Article in English | Web of Science | ID: covidwho-1486380

ABSTRACT

A novel coronavirus (SARS-CoV-2) causing corona virus disease 2019 (COVID-19) has attracted global attention due to its highly infectious and pathogenic properties. Most of current studies focus on aerosols released from infected individuals, but the presence of SARS-CoV-2 in wastewater also should be examined. In this review, we used bibliometrics to statistically evaluate the importance of water-related issues in the context of COVID-19. The results show that the levels and transmission possibilities of SARS-CoV-2 in wastewater are the main concerns, followed by potential secondary pollution by the intensive use of disinfectants, sludge disposal, and the personal safety of workers. The presence of SARS-CoV-2 in wastewater requires more attention during the COVID-19 pandemic. Thus, the most effective techniques, i.e., wastewater-based epidemiology and quantitative microbial risk assessment, for virus surveillance in wastewater are systematically analyzed. We further explicitly review and analyze the successful operation of a sewage treatment plant in Huoshenshan Hospital in China as an example and reference for other sewage treatment systems to properly ensure discharge safety and tackle the COVID-19 pandemic. This review offers deeper insight into the prevention and control of SARS-CoV-2 and similar viruses in the post-COVID-19 era from a wastewater perspective.

8.
International Journal of Intelligent Systems ; 36(8):4298-4320, 2021.
Article in English | Web of Science | ID: covidwho-1396888

ABSTRACT

A large number of people suffer from anxiety in modern society. As an effective treatment with few side effects, music therapy has been used to reduce anxiety for decades in clinical practice. Yet therapists continue to perform music selection, a key step in music therapy, manually. Considering the growing need for music therapy services and social distancing amid public emergencies, an automatic method for music selection would be of great practical utility. This paper marks the first effort to identify music with therapeutic effects on anxiety reduction via a novel music scoring model. We formulate the calculation of a therapeutic score as a quadratic programming problem, which minimizes score variance among known therapeutic songs while maintaining their superiority over other songs. The proposed model can uncover common features that contribute to anxiety reduction by learning from small and unbalanced data. Using a music therapy experiment, we find that the proposed model outperforms existing techniques in predicting therapeutic songs. Feature analysis is also conducted, revealing that high-frequency spectrums are important in therapeutic scoring.

9.
International Journal of Operations & Production Management ; ahead-of-print(ahead-of-print):27, 2021.
Article in English | Web of Science | ID: covidwho-1324856

ABSTRACT

Purpose Although there have been considerable discussions on the business value of adopting blockchain in supply chains, it is unclear whether such blockchain-enabled supply chains (BESCs) can help firms mitigate the negative impact resulting from the recent COVID-19 pandemic. This study aims to answer this important question. Design/methodology/approach The authors conduct an event study to quantify the financial effects of the COVID-19 pandemic and compare the differences in such effects between treatment firms that have adopted BESCs and matched control firms that have not adopted BESCs. The authors also perform a regression analysis to examine how the role of BESCs in mitigating COVID-19's negative impact varies across firms with different levels of supply chain leanness and complexity. The analysis is based on 88 treatment firms and 88 matched control firms, all of which are publicly listed on the US stock markets. Findings The test results suggest that although both the treatment and control firms are negatively affected by the COVID-19 pandemic, the effect is less negative for the treatment firms compared to the control firms, demonstrating the role of BESCs in mitigating the negative impact caused by the COVID-19 pandemic. Moreover, the mitigating role of BESCs is more pronounced for firms with lean and complex supply chains. Originality/value This study is among the first to provide empirical evidence on the mitigating role of BESCs during the COVID-19 pandemic, highlighting the importance of adopting blockchain in supply chains with high uncertainties and disruption risks.

10.
Yaoxue Xuebao ; 55(10):2340-2357, 2020.
Article in Chinese | Scopus | ID: covidwho-1090128

ABSTRACT

Human pathogenic coronaviruses can be divided into seven types, namely HCoV-229E, HCoV-OC43, HCoV-HKUl, HCoV-NL63, SARS-CoV, MERS-CoV and SARS-CoV-2. Among them, Severe Acute Respiratory Syndrome (SARS), Middle East Respiratory Syndrome (MERS) and Corona Virus Disease 2019 (COVID-19), which are caused by the last three coronaviruses respectively, are enormous threats that challenge human health and social and economic development. Despite the huge investment in drug development for pathogenic coronaviruses, there is no specifically effective anti-coronavirus drug approved so far. In this review we systematically summarize 146 representative anti-coronavirus active compounds reported in the past 20 years and list 26 potential target proteins involved in the process of viral infection and replication. In addition, we predict the target proteins of those active compounds with unclear antiviral activity mechanisms. We hope that the information will be useful to accelerate the development of new anti-coronavirus drugs. © 2020 Zhonghua Yixuehui Zazhishe. All rights reserved.

11.
International Journal of Hospitality Management ; 93:11, 2021.
Article in English | Web of Science | ID: covidwho-1065160

ABSTRACT

During a crisis, such as the COVID-19 pandemic, what managers communicate to their employees can greatly impact important organizational attitudes, such as organizational trust. There is, however, very little research focusing on the mechanisms explaining how managers' messages during a crisis can influence employees' organizational trust. To address this gap, the current study examined the role that emotions play in developing organizational trust using a 2 (following CDC norms vs. ignoring CDC norms) by 2 (employee focus vs. bottom-line focus) between-subjects factorial experiment, with COVID-19 as the context. The results showed that a manager's communication that followed the CDC social norms made employees feel grateful, whereas communication that ignored CDC social norms enhanced fear and anger toward the organization. The feelings of gratefulness and fear influenced organizational trust. These results provide important theoretical and practical implications for understanding organizational trust during a crisis.

12.
Statistics and Its Interface ; 14(1):59-71, 2021.
Article in English | Web of Science | ID: covidwho-1008544

ABSTRACT

The unprecedented coronavirus disease 2019 (COVID-19) pandemic is still a worldwide threat to human life since its invasion into the daily lives of the public in the first several months of 2020. Predicting the size of confirmed cases is important for countries and communities to make proper prevention and control policies so as to effectively curb the spread of COVID-19. Different from the 2003 SARS epidemic and the worldwide 2009 H1N1 influenza pandemic, COVID-19 has unique epidemiological characteristics in its infectious and recovered compartments. This drives us to formulate a new infectious dynamic model for forecasting the COVID-19 pandemic within the human mobility network, named the SaucIR-model in the sense that the new compartmental model extends the benchmark SIR model by dividing the flow of people in the infected state into asymptomatic, pathologically infected but unconfirmed, and confirmed. Furthermore, we employ dynamic modeling of population flow in the model in order that spatial effects can be incorporated effectively. We forecast the spread of accumulated confirmed cases in some provinces of mainland China and other countries that experienced severe infection during the time period from late February to early May 2020. The novelty of incorporating the geographic spread of the pandemic leads to a surprisingly good agreement with published confirmed case reports. The numerical analysis validates the high degree of predictability of our proposed SaucIR model compared to existing resemblance. The proposed forecasting SaucIR model is implemented in Python. A web-based application is also developed by Dash (under construction).

13.
Environmental Science & Technology Letters ; 7(11):779-786, 2020.
Article in English | Web of Science | ID: covidwho-1003236

ABSTRACT

During the COVID-19 lockdown period (from January 23 to February 29, 2020), ambient PM2.5 concentrations in the Yangtze River Delta (YRD) region were observed to be much lower, while the maximum daily 8 h average (MDA8) O-3 concentrations became much higher compared to those before the lockdown (from January 1 to 22, 2020). Here, we show that emission reduction is the major driving force for the PM2.5 change, contributing to a PM2.5 decrease by 37% to 55% in the four YRD major cities (i.e., Shanghai, Hangzhou, Nanjing, and Hefei), but the MDA8 O-3 increase is driven by both emission reduction (29%-52%) and variation in meteorological conditions (17%-49%). Among all pollutants, reduction in emissions mainly of primary PM contributes to a PM2.5 decrease by 28% to 46%, and NOx emission reduction contributes 7% to 10%. Although NOx emission reduction dominates the MDA8 O-3 increase (38%-59%), volatile organic compounds (VOCs) emission reduction lead to a 5% to 9% MDA8 O-3 decrease. Increased O-3 promotes secondary aerosol formation and partially offsets the decrease of PM2.5 caused by the primary PM emission reductions. The results demonstrate that more coordinated air pollution control strategies are needed in YRD.

14.
Bulletin of the American Meteorological Society ; 101(10):E1645-E1652, 2020.
Article in English | Web of Science | ID: covidwho-992162
15.
Chinese Journal of Contemporary Pediatrics ; 22(4):294-298, 2020.
Article in Chinese | EMBASE | ID: covidwho-736852

ABSTRACT

Objective: To study the clinical features of children with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Methods: A retrospective analysis was performed for the clinical data of 13 children with SARS-CoV-2 infection who hospitalized in a Changsha hospital. Results: All 13 children had the disease onset due to family aggregation. Of the 13 children, 2 had no symptoms, and the other 11 children had the clinical manifestations of fever, cough, pharyngeal discomfort, abdominal pain, diarrhea, convulsions, or vomiting. As for clinical typing, 7 had mild type, 5 had common type, and 1 had severe type. The median duration of fever was 2 days in 6 children. All 13 children had normal levels of peripheral blood lymphocyte counts, immunoglobulins, CD4, CD8, and interleukin-6. The median time to clearance of SARS-CoV-2 was 13 days in the nasopharyngeal swabs of the 13 children. Three children presented false negatives for RT-PCR of SARS-CoV-2. SARS-CoV-2 RNA remained detectable in stools for 12 days after the nasopharyngeal swab test yielded a negative result. Abnormal CT findings were observed in 6 children. All 13 children were cured and discharged and they were normal at 2 weeks after discharge. Conclusions: Intra-family contact is the main transmission route of SARS-CoV-2 infection in children, and there is also a possibility of fecal-oral transmission. Mild and common types are the major clinical types in children with SARS-CoV-2 infection, and cytokine storm is not observed. Children with SARS-CoV-2 infection tend to have a good short-term prognosis, and follow-up is needed to observe their long-term prognosis. Multiple nucleic acid tests should be performed for patients with SARS-CoV-2 infection and their close contacts by multiple site sampling.

16.
Eur Rev Med Pharmacol Sci ; 24(8): 4537-4538, 2020 04.
Article in English | MEDLINE | ID: covidwho-199034

ABSTRACT

At present, SARS-Cov-2 is spread all over the world, becoming a serious threat to people's health. SARS-Cov-2 has a strong infection, and the mortality rate of severe patients after infection is high, but there is no effective treatment. Mesenchymal stem cells (MSCs) have anti-inflammatory and immunomodulatory functions, which can reduce the occurrence of cytokine storm syndrome and acute respiratory distress syndrome. At the same time, MSCs can reduce the level of pulmonary fibrosis and enhance tissue injury repair. In this short report, combined with the progress of preclinical and clinical research, we comment the efficacy of MSCs in the treatment of COVID-19.


Subject(s)
Coronavirus Infections/therapy , Mesenchymal Stem Cell Transplantation , Pneumonia, Viral/therapy , Animals , Betacoronavirus , COVID-19 , Cytokines/adverse effects , Cytokines/immunology , Humans , Immunomodulation , Pandemics , Pulmonary Fibrosis/therapy , Respiratory Distress Syndrome/therapy , SARS-CoV-2
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