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1.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS ; : 6064-6073, 2022.
Article in English | Web of Science | ID: covidwho-1967576

ABSTRACT

: Multiple-site mutated SARS-CoV-2 Delta and Omicron variants may trigger immune escape against existing monoclonal antibodies. Here, molecular dynamics simulations combined with the interaction entropy method reveal the escape mechanism of Delta/Omicron variants to Bamlanivimab/Etesevimab. The result shows the significantly reduced binding affinity of the Omicron variant for both antibodies, due to the introduction of positively charged residues that greatly weaken their electrostatic interactions. Meanwhile, significant structural deflection induces fewer atomic contacts and an unstable binding mode. As for the Delta variant, the reduced binding affinity for Bamlanivimab is owing to the alienation of the receptor-binding domain to the main part of this antibody, and the binding mode of the Delta variant to Etesevimab is similar to that of the wild type, suggesting that Etesevimab could still be effective against the Delta variant. We hope this work will provide timely theoretical insights into developing antibodies to prevalent and possible future variants of SARS-CoV-2.

2.
Sleep Medicine ; 100:S66-S67, 2022.
Article in English | EMBASE | ID: covidwho-1967119

ABSTRACT

Introduction: Chronic sleep deprivation is a prevalent sleep prbolem in school-aged adolescents. The natural delay of circadian rhythm combined with early school schedule leading to significant sleep loss during school days. In particular, adolescents in Hong Kong not only sleeping less than their Shanghai counterparts but also having later bedtime. Delaying school start time is an effective strategy but has met numerous constraints. While previous sleep education programs have successfully improved sleep knowledge but failed to increase sleep practice. Intervention with specific focus on late bedtime might be an potential approach to improve adolescent sleep. Current study explores the possibility of advancing adolescent bedtime by group-based motivational enhancement approach and text message reminders. Materials and Methods: Healthy adolescents (12-18 yrs old) with schoolday sleep duration <7 hours and without other sleep disorders such as insomnia and delay sleep phase disorder were randomly allocated to intervention or non-active control group. The intervention consists of four weekly, group-based therapy delivered using motivational interviewing approach and 3 week daily text reminders. Assessments were conducted at baseline, post-intervention, 3-month and 6 -month follow up. The primary outcomes were sleep-wake pattern captured by 7-day sleep dairy. The intervention effect was evaluated by linear mixed model. The trial was registered with the Clinical Trial Registry (NCT03614572). Results: A total of 212 adolescents (mean age: 15.8±0.98;female:60.1%) were recruited from Aug 2018 to Apr 2021. Approxiamtely 80% of the adolescents attended all the follow up assessments. Adolescents in the intervention group have significantly earlier schoolday bedtime at post-intervention (intervention vs. control:(-14 mins vs +19 mins) and 6-month follow up(-14 mins vs + 21 mins) compared to the control group(F=4.6, P = 0.004). They also had a tendency of increased sleep duration throughout the follow up period, but the difference was not significant(F=2.22, P = 0.089). This is explained by the difference in schoolday wakeup time as control group had a significant later wakeup time at post-intervention (intervention vs. control: -2 mins vs +23 mins) in relative to the intervention group. It is not common to observe a change in schoolday wakeup time as wakeup time is largely determined by early school schedule. The outbreak of Coronavirus in 2020 has forced schools to close and adopted an online study mode. The online class schedule varied significantly between schools, which might explain the difference in wakeup time at follow up assessment. Despite there is no significant difference in schoolday sleep duration, adolescents in the intervention group reported greater intention to behavioral changes(P=0.043), and lower level of daytime sleepiness(P=0.001). However, there is no difference observed in sleep knowledge, mood symptoms and quality of life. Conclusions: This study supports that motivational interviewing in combined with text reminders are effective approach in advancing adolescent bedtime, improving their motivation and daytime functioning. Adolescents were able to maintain earlier bedtime regardless of the school schedule. We suggest that advancing bedtime protocol should be incorporated at school-level to benefit more adolescents. Acknowledgements:Supported by Health Medical Research Fund (#15163071), Hong Kong SAR, China.

3.
JOURNAL OF CLEANER PRODUCTION ; 363, 2022.
Article in English | Web of Science | ID: covidwho-1966811

ABSTRACT

In the face of the COVID-19 pandemic and the global sales trend of fruits, automatic ripeness grading of fruits is of great significance for enterprises, reducing labor-related costs and precise resource regulation of the fruit industry chain. The wrong ripeness grading may lead to inferior products entering the market chain and resulting in over ripeness, spoilage, quality degradation, and economic loss issues. Traditional manual grading and machine vision-enabled grading methods are facing a series of challenges, such as low efficiency, inconsistent grading standards, and vulnerability to environmental interferences. Therefore, a flexible sensing enabled intelligent manipulator system (FSIMS) is developed for efficient, automatic and accurate ripeness grading of avocados, one of the most popular and economically valuable fruits in the world. When avocados of different ripeness level are gripping, the flexible sensing units attached in the clamps can sense the firmness of the contact points and feedback different pressure values of the system, which could accurately determine four ripeness levels of avocados. Compared with traditional manual or machine vision enabled fruit ripeness grading methods, the designed FSIMS could achieve better grading effect (97.5% accuracy), and the system also has a faster grading speed (the fast-grading speed could reach 1.3 s/time) and high environmental robustness. The application of FSIMS could effectively reduce the waste of avocados in the market supply chain, greatly alleviating the labor-intensive and inefficiency problems of the fruits ripeness grading, thereby promoting the more sustainable and cleaner production of the avocado industry.

4.
Chinese Journal of Biologicals ; 34(8):889-897, 2021.
Article in Chinese | EMBASE | ID: covidwho-1965534

ABSTRACT

The Coronavirus Disease 2019 (COVID-19) pand emic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has brought unprecedented pressure on communities, medical systems and economy all over the world. Candidate vaccines have been generated using existing technologies that provides us with the hope to effectively deal with COVID-19. Subunit vaccines are one of the prominent options in the "primer-boost" strategy, and have become the main force in the new candidate vaccines. This paper reviews the latest progress in clinical trials and platforms technology and highlight the challenges encountered in the development of COVID-19 subunit vaccine.

5.
China Oncology ; 32(6):499-511, 2022.
Article in Chinese | Scopus | ID: covidwho-1964893

ABSTRACT

[] The corona virus disease 2019 (COVID-19) pandemic continues to severely impact healthcare systems around the world, and patients with cancer are even worse affected owing to compromised immune status and greater exposure risk. In the present review, we retrieved the relevant literature including guidelines and consensuses directly related to the purpose of this study from the PubMed database, and then summarized the research data on cancer and COVID-19, aiming to discuss the personal protection, systemic anti-cancer therapy, outcome of co-infection, and the clinical management strategy in this population. We found that patients with malignant tumors had a higher chance of suffering COVID-19, co-infection of whom had an even worse clinical prognosis, especially for those with lung cancer or hematologic cancers. Systemic chemotherapy may delay the clearance of severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) virus of human body, and thus have a negative impact on the clinical outcomes of COVID-19, while certain endocrine therapy and targeted drugs having limited or no impact. There has been no sufficient evidence for the impact of immune checkpoint therapy on the outcomes of COVID-19 till now. It is of great value to strengthen the personal protection of patients, adjust the anti-tumor treatments rationally and optimize the clinical management processes. © 2022, Editorial Office of China Oncology. All rights reserved.

6.
5th International Conference on Traffic Engineering and Transportation System, ICTETS 2021 ; 12058, 2021.
Article in English | Scopus | ID: covidwho-1962040

ABSTRACT

The domestic passenger points layout method of some normally operating city was analyzed in this paper by introducing potential point importance on the regular COVID-19 prevention and control stage. In the case of the abnormal operation scenario of a sudden COVID-19 epidemic in a certain place in the future, a normal operating city with a transport airport in China is taken as the research object, focusing on all the potential destination cities in China. This paper comprehensively considers the key influencing factors such as epidemic prevention and control policy, comprehensive transport demand and comparative advantage of civil aviation, and puts forward the destination importance index to quantitatively evaluate the layout order of each potential destination. Following the qualitative layout principle of the combination of important priority and balanced development, a "two-step" domestic passenger points layout method is established. The empirical analysis shows that for a city owning 30 domestic passenger points in China, within one month after the outbreak of COVID-19 epidemic in Shenyang, Yingkou and Hefei, 10 new domestic passenger points are added to achieve the development goal of domestic passenger route network, and the "two-step" domestic passenger points layout method is feasible and effective. © 2021 SPIE

7.
Romanian Journal of Economic Forecasting ; 25(2):65-82, 2022.
Article in English | Scopus | ID: covidwho-1958164

ABSTRACT

The outburst of the COVID-19 pandemic put the world in quarantine, tourism being the most severely affected of all major economic sectors. The paper aims to capture the impact of COVID-19 shock on the tourism industry and economic progress using a dynamic distribution lag model. The data from 2001 to 2019 along with the epidemic shock are used to produce forecasts for Germany, France, Spain, and Italy until 2030. The results reveal that Germany's "smokeless industry" will fall by 6.9%, which puts 1.09 million jobs at risk. The declining trends will continue until 2023;however, they will match the current trends in 2024. Similarly, the expected losses for France, Spain, and Italy during 2020 are 9.63%, 9.35%, and 9.34%, respectively. The lockdown situation will shrink the real output and dampen GDP per capita. The highest per capita losses of 7.31% are recorded for Spain, while individual outputs in Germany, France, and Italy will fall by 6.55%, 6.73% and 7.2%, respectively. Thus, public-private cooperation is required for responsible tourism after the travel bans are lifted. The Governments should develop and communicate post-pandemic policies for the tourism value chain, go for smart lockdowns in order to protect jobs, and uplift the real outputs. © 2022, Institute for Economic Forecasting. All rights reserved.

8.
Engineering, Construction and Architectural Management ; 2022.
Article in English | Scopus | ID: covidwho-1948668

ABSTRACT

Purpose: The construction industry is facing challenges not only for workers' mobility in the pandemic situation but also for Lean Construction (LC) practise in responding to the high-quality development during the post-pandemic. As such, this paper presents a construction workforce management framework based on LC to manage both the emergency goal in migrant worker management and the long-term goal in labour productivity improvement in China. Design/methodology/approach: The framework is created based on the integrated culture and technology strategies of LC. A combination of qualitative and quantitative methods is taken to explore factors influencing the mobility of construction workers and to measure labour productivity improvement. The case study approach is adopted to demonstrate the framework application. Findings: For method application, a time-and-motion study and Percent Plan Complete indicator are proposed to offer labour productivity measurements of “resources efficiency” and “flow efficiency”. Moreover, the case study provides an industry level solution for construction workforce management and Lean Construction culture shaping, as well as witnesses the LC culture and technology strategies alignment contributing to LC practise innovation. Originality/value: Compared with previous studies which emphasised solely LC techniques rather than socio-technical system thinking, the proposed integration framework as well as implementation of “Worker's Home” and “Lean Work Package” management models in the COVID-19 pandemic contribute to new extensions of both the fundamental of knowledge and practise in LC. © 2022, Emerald Publishing Limited.

9.
Journal of Safety Science and Resilience ; 3(3):229-234, 2022.
Article in English | Scopus | ID: covidwho-1945738

ABSTRACT

COVID-19 is a constantly challenging global health issue due to its strong intensity, rapid mutation and high infectiousness. The new Delta and Omicron variants have triggered massive outbreaks worldwide. Even China, which has done a good job in outbreak prevention, is still heavily affected by the virus. The long-term fight against multiple COVID-19 outbreaks is ongoing. In this study, we propose an SEIQR model that considers the incubation period and quarantine measurement. We verified our model using actual outbreak data from four Chinese cities. Numerical simulations show that a five-day delay results in a double resurgence scale. Our model can be used as a tool to understand the spread of the virus quantitatively and provide a reference for policymaking accordingly. © 2022

10.
JOURNAL OF HOSPITALITY AND TOURISM MANAGEMENT ; 51, 2022.
Article in English | Web of Science | ID: covidwho-1936785

ABSTRACT

This study aims to explore Chinese residents' outbound travel intentions and preparations in the post-pandemic world that are influenced by media coverage and risk perception. A conceptual model is proposed to test the structural relationships among media coverage, risk perception, outbound travel intentions and preparations. This study administered an online survey to Chinese residents who had outbound travel experiences, and a total of 441 valid responses were collected for data analysis. The results indicated that media coverage exerted significant impact on cognitive and affective risk perceptions, outbound travel intentions and preparations. Furthermore, cognitive risk perception was positively related to affective risk perception, which significantly influenced outbound travel intentions and preparations. Outbound travel intentions were verified as the determinant of outbound travel preparations. Additionally, the mediating roles of affective risk perception and outbound travel intentions were confirmed. This study is amongst the first to introduce the concept of outbound travel preparations as a new research avenue for post-pandemic outbound travel behaviour.

11.
JOURNAL OF GENERAL INTERNAL MEDICINE ; 37(SUPPL 2):154-154, 2022.
Article in English | Web of Science | ID: covidwho-1935363
12.
Dermatitis ; 33(3):e38, 2022.
Article in English | EMBASE | ID: covidwho-1937764

ABSTRACT

Objectives: The COVID-19 pandemic might disproportionately impact patients with atopic dermatitis (AD). We aimed to investigate associations between COVID-19- related impact and AD severity among adults in the Dutch general population. Methods: This cross-sectional study was conducted within the Lifelines Cohort Study. A digital questionnaire was sent out to 135,950 adult participants to collect data on AD in 2020. COVID-19-related variables were collected by regularly sending out questionnaires to 139,735 adult participants betweenMarch 2020 and July 2021. Associations between AD severity and COVID-19-related impact were analyzed using binary logistic regression models. Results: In total, 53,545 subjects, who responded to the AD questionnaire and at least one COVID-19 questionnaire, were included. Multivariate analysis showed similar COVID-19 infection rates in all groups. Subjects with AD, regardless of disease severity, were more concerned about the COVID-19 crisis and more often chose to not contact a doctor when having health problems. Subjects with mild AD had a higher COVID-19 vaccination rate and more frequently covered mouth and nose in public. Moreover, subjects with moderate-to-severe ADestimated a higher chance of becoming infected and expected a more serious disease course. They were more worried about getting sick and a medication shortage, and tended to take other precautions. They also more often expected, reported, and were more afraid of COVID-19 vaccines side effects. Conclusions: The COVID-19 pandemic has a considerable impact on patients with moderate-to-severe AD, highlighting the need of more attention for their overall wellbeing in daily practice during the current pandemic.

13.
Chinese Journal of General Practitioners ; 21(6):567-572, 2022.
Article in Chinese | Scopus | ID: covidwho-1934280

ABSTRACT

Artificial Intelligence (AI) is an interdisciplinary subject developed on the basis of computer technology, cybernetics, mathematics, philosophy and brain science. The purpose of AI is to study new ways to extend the intelligence of human brain in various fields. In recent years, the rapid development of AI technology has brought innovation to medical science and health care. During the pandemic of coronavirus disease 2019 (COVID‑19) AI has been widely used in epidemiological investigation and outbreak prediction, clinical diagnosis and treatment, hospital management, research and development of new drugs and vaccines. The application of AI has reduced the clinical workload and the consumption of medical resources, greatly assisted the battle against COVID‑19. This article introduces the progresses on the applications of AI technology to provide information for its further application in the fighting against COVID‑19. © 2022 Chinese Medical Journals Publishing House Co.Ltd.

14.
Journal of Social Work ; : 3, 2022.
Article in English | Web of Science | ID: covidwho-1928029
15.
Contact Dermatitis ; 86(SUPPL 1):45, 2022.
Article in English | EMBASE | ID: covidwho-1927573

ABSTRACT

Background: Atopic dermatitis (AD) causes a considerable public health burden, especially among patients with moderate-to-severe disease. A large epidemiological study has not been conducted in the Netherlands. Objectives: To investigate the prevalence and severity of AD in the Dutch general population and its associations with lifestyle factors and COVID-19-related impact. Methods: A cross-sectional study was conducted within the Lifelines Cohort Study by sending an AD questionnaire in 2020 and multiple COVID-19 questionnaires between 2020 and 2021, to 139 735 adults. Lifestyle factors were collected at baseline between 2006 and 2013. Associations between AD, lifestyle factors, and COVID-19-related impact, were analysed using binary logistic regression and/or linear regression models. Results: 57643 subjects (42.5%) responded to the AD questionnaire, of those 53 545 responded to at least one COVID-19 questionnaire. The lifetime prevalence was 9.3%, and the point prevalence of moderate-to-severe AD was 2.3%. Moderate-to-severe AD was associated with smoking pack-years, >2 alcoholic drinks per day, chronic stress, and obesity. Moreover, the COVID-19 pandemic had a greater psychological impact on the subjects with moderate-to-severe AD, who were also more concerned about COVID-19 vaccines and healthcare system and tended to take more precautions for prevention. Conclusions: Moderate-to-severe AD represents a large proportion of AD patients and shows positive associations with lifestyle factors and a profound COVID-19-related impact. More attention to lifestyle factors and patient's overall welling appears warranted in those severely affected. Further longitudinal studies are required to better characterize the direction of these associations and develop strategies for coping.

16.
Chinese Journal of Microbiology and Immunology (China) ; 42(3):161-170, 2022.
Article in Chinese | EMBASE | ID: covidwho-1928715

ABSTRACT

Objective To investigate the immune characteristics of SARS-CoV-2 membrane (M) protein, especially the possibility of inducing antibody-dependent enhancement effect (ADE) .Methods Full-length SARS-CoV-2 M protein was prepared by prokaryotic expression system and purified.BALB/ c mice were immunized subcutaneously three times (on day 1, day 14 and day 21) by purified M protein.Serum samples were collected before immunization and after each immunization.The specificity of immune sera against M protein was identified by Western blot, and the antibody titers were detected by ELISA and neutralization test.In the presence of anti-M protein serum, the proliferation of SARS-CoV-2 in dendritic cells, nature killer cells, T and B cells was detected in vitro.Results The immune sera from BALB/ c mice immunized with purified full-length M protein of SARS-CoV-2 specifically recognized viral M protein.The titer of anti-whole virus antibody in immune sera was about 1 ∶ 400, but the antibody could not neutralize live virus.Moreover, the antibody could not help the virus to infect and proliferate in the various types of immune cells with Fc receptor (FcR).Conclusions Non-neutralizing antibody induced by M protein could not cause ADE through FcR pathway.

17.
2022 International Conference on Algorithms, Microchips and Network Applications ; 12176, 2022.
Article in English | Scopus | ID: covidwho-1923086

ABSTRACT

After the outbreak of COVID in Wuhan, it has had an impact on all aspects of tourism industry. Tourists' sentiment is an important factor for people to make tourism decisions. The implementation of tourism decisions affects the development of tourism to a certain extent. In order to explore the impact of the COVID-19 on the tourism industry from the micro level of tourist sentiment. Firstly, the text mining algorithm is used to analyze the emotion of tourism microblog text, and the tourism emotion index TSI is constructed. Then combined with the tourism heat index THI, the tourist sentiment TS comprehensive index is constructed. The temporal and spatial differences of the impact of the epidemic on tourists' emotion are analyzed by comparing the tourists' emotion and epidemic data in different regions and stages. From the temporal and spatial distribution of tourist sentiment and epidemic situation, they are not completely parallel related, and there is spatial heterogeneity. Tourist sentiment is affected by multiple factors such as economic level and geographical location. The change of tourists' mood does not only depend on the change of epidemic data, but also related to many factors such as economic level and geographical location. © COPYRIGHT SPIE. Downloading of the is permitted for personal use only.

18.
10th International Congress on Advanced Applied Informatics, IIAI-AAI 2021 ; : 123-128, 2021.
Article in English | Scopus | ID: covidwho-1922698

ABSTRACT

This paper concerns health rumors that emerged during the outbreak of novel coronavirus. A serious game was designed as an experimental program for the prevention and control of health rumors. This covers two parts that include the TCP model for the games and cognitive questionnaires. The relevant variables of the experimental study are defined and the hypothesis is proposed. Two hundred experimental subjects are selected to participate in the experiments. Through the collection of relevant data in the experiments, statistical observations and comparative analysis are conducted to test whether the experimental hypothesis can be established. In addition, influence factors for the judgment and recognition of health rumors are considered in the comparison and analysis. © 2021 IEEE.

19.
Jisuanji Gongcheng/Computer Engineering ; 47(5):1-15, 2021.
Article in Chinese | Scopus | ID: covidwho-1924846

ABSTRACT

The Corona Virus Disease 2019 COVID-19 is highly infectious and pathogenic, posing a serious threat to public safety.  Rapid and accurate detection and diagnosis of COVID-19 is key to the epidemic control. The existing detection and diagnosis methods are mainly based on nucleic acid tests or manual diagnosis using medical images.  However, nucleic acid tests are time-consuming and require special test boxes, while the manual diagnosis relies heavily on professional knowledge, takes longer time for analysis and often fail to detect concealed lesions. Since then, with the development of X-ray and Computer Tomography CT image datasets, researchers have built many deep learning-based COVID-19 detection and diagnosis models which effectively assist medical experts in the efficient diagnosis and treatment of COVID-19. This paper lists the mainstream image datasets for the detection and diagnosis of COVID-19 and related evaluation metrics. Then, it introduces the existing deep learning-based models for COVID-19 diagnosis from the perspectives of the model task and the image data type, and on this basis compares and analyzes the detection performance of the models in six different dimensions: Backbone network, data sets, image types, model performance, classification task types and park opening situation. In addition, this paper introduces the excellent application systems used to fight against COVID-19, and discusses the development trend of the studies in this field. © 2021, Editorial Office of Computer Engineering. All rights reserved.

20.
19th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2022 Held as Part of the 24th HCI International Conference, HCII 2022 ; 13307 LNAI:179-188, 2022.
Article in English | Scopus | ID: covidwho-1919674

ABSTRACT

Besides being a threat to public physical health, COVID-19 may also bring harm to peoples’ mental health as well. This preliminary study aimed to explore how different levels of social exposure might result in different mental health outcomes (e.g., burnout) on frontline metro staff, who guarantee the efficiency and safety of urban transportation. Three positions of frontline metro staff with different levels of social exposure, namely station attendants, train drivers, and maintenance workers. Two waves of cross-sectional studies were conducted at two time points, one was shortly after the lockdown in 2020, the other was 5 months later in July 2020. Results showed that there is no significant difference between stress levels after the lockdown. However, a significant difference was observed in the burnout levels after several months of operation. Staff with more contact with passengers (i.e., station attendants) reported the highest level of burnout. Staff with less contact with passengers (i.e., maintenance workers) reported the lowest level of burnout. A possible explanation of such phenomenon was that higher social exposure during the pandemic may cause more anxiety and fear to be infected as well as more emotional labor to deal with people wearing masks. We also discussed possible methods to improve the well-being of metro staff. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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