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1.
BMC Sports Sci Med Rehabil ; 14(1):208, 2022.
Article in English | PubMed | ID: covidwho-2162413

ABSTRACT

BACKGROUND: Due to the COVID-19 pandemic, the 2020 season Chinese Super League (CSL) was held in neutral venues, this study aims to analyse the impact of removing home advantage (HA) in CSL. METHOD: 240 games of the CSL 2019 season (home and away double round-robin system) and 160 games of the 2020 season (in neutral venues) were analysed. 27 technical and tactical performance indicators were involved as dependent variables. A multiple linear regression model was established to analyse the influence of removing HA on the performance indicators. RESULTS: After moving from home stadium to neutral venue in 2020 season, goal, shot, shot on target, shot from outside box, shot from inside box, shot on target from inside box, corner kick, key pass, cross, breakthrough, tackle decreased significantly (p < 0.05), while yellow card and foul increased steeply (p < 0.05). Comparing with playing away match, in neutral venue, free kicks and pass accuracy enhanced radically (p < 0.05), while tackle, clearance and block shot dropped noticeably (p < 0.05). CONCLUSION: When removing HA and playing in the neutral venue, teams' performance dropped significantly. This study confirmed the positive impact of HA on the teams' performance and may help elite football teams make proper playing strategies regarding different match locations.

2.
Medicine ; 101(48):e31716, 2022.
Article in English | MEDLINE | ID: covidwho-2161252

ABSTRACT

Since December 2019, the novel coronavirus has spread worldwide, affecting more than 510 million people, with more than 6 million deaths. However, some of the potential effects of the pandemic have not been thoroughly studied. We collected data from 2 regional emergency centers from May to November for the years 2015 to 2019, before the pandemic, and from May to November 2020, after the pandemic. We evaluated the incidence of each major type of digestive disease before and after the pandemic in adults at the 2 hospitals, which experienced coronavirus disease 2019 outbreaks with varying severity. A total of 11,394 patients were enrolled in the study Affiliated Hospital of Putian University (PUTIAN, n = 5503) Union Hospital, Tongji Medical college, Huazhong University of Science and Technology (UNION, n = 5891), and the proportion of male patients was approximately the same at both hospitals, with 3360 (61.1%) and 3680 (62.5%), respectively. The average ages of the patients were 55.8 +/- 18.4 years PUTIAN and 54.3 +/- 15.8 years UNION. The numbers of patients at the 2 hospitals increased steadily, but in 2020, the number of patients at UNION declined. The baseline characteristics of the 2 groups at the 2 hospitals showed significant differences for age before and after the pandemic but not for sex. The constituent ratios of diseases in each year in the 2 hospitals differed. The number of patients with peptic ulcers in 2020 was significantly different from those in each year from 2015 to 2019 (PUTIAN 2015-2020, 15.0%, 18.2%, 14.9%, 16.9%, 19.5%, 34.9%;UNION 2015-2020, 29.2%, 32.5%, 29.3%, 29.4%, 29.7%, 41.3%, respectively). The rates of peptic ulcer increased dramatically in both hospitals in 2020. An increase in the incidence of severe peptic ulcer was observed after the pandemic compared to the same period before the pandemic. Therefore, these factors should be considered in the formulation of public health strategies and the allocation of medical resources in the post pandemic era.

3.
Analytical Chemistry ; 13:13, 2022.
Article in English | MEDLINE | ID: covidwho-2160134

ABSTRACT

Addressing the spread of coronavirus disease 2019 (COVID-19) has highlighted the need for rapid, accurate, and low-cost diagnostic methods that detect specific antigens for SARS-CoV-2 infection. Tests for COVID-19 are based on reverse transcription PCR (RT-PCR), which requires laboratory services and is time-consuming. Here, by targeting the SARS-CoV-2 spike protein, we present a point-of-care SERS detection platform that specifically detects SARS-CoV-2 antigen in one step by captureing substrates and detection probes based on aptamer-specific recognition. Using the pseudovirus, without any pretreatment, the SARS-CoV-2 virus and its variants were detected by a handheld Raman spectrometer within 5 min. The limit of detection (LoD) for the pseudovirus was 124 TU muL-1 (18 fM spike protein), with a linear range of 250-10,000 TU muL-1. Moreover, this assay can specifically recognize the SARS-CoV-2 antigen without cross reacting with specific antigens of other coronaviruses or influenza A. Therefore, the platform has great potential for application in rapid point-of-care diagnostic assays for SARS-CoV-2.

4.
Journal of Medical Virology ; 15:15, 2022.
Article in English | MEDLINE | ID: covidwho-2157855

ABSTRACT

To control the ongoing COVID-19 pandemic, a variety of SARS-CoV-2 vaccines have been developed. However, the rapid mutations of SARS-CoV-2 spike (S) protein may reduce the protective efficacy of the existing vaccines which is mainly determined by the level of neutralizing antibodies targeting S. In this study, we screened prevalent S mutations and constructed 124 pseudotyped lentiviral particles carrying these mutants. We challenged these pseudoviruses with sera vaccinated by Sinovac CoronaVac and ZF2001 vaccines, two popular vaccines designed for the initial strain of SARS-CoV-2, and then systematically assessed the susceptivity of these SARS-CoV-2 variants to the immune sera of vaccines. As a result, 14 S mutants (H146Y, V320I+S477N, V382L, K444R, L455F+S477N, L452M+F486L, F486L, Y508H, P521R, A626S, S477N+S698L, A701V, S477N+T778I, E1144Q) were found to be significantly resistant to neutralization, indicating reduced protective efficacy of the vaccines against these SARS-CoV-2 variants. In addition, F486L and Y508H significantly enhanced the utilization of human ACE2, suggesting a potentially elevated infectivity of these two mutants. In conclusion, our results show that some prevalent S mutations of SARS-CoV-2 reduced the protective efficacy of current vaccines and enhance the infectivity of the virus, indicating the necessity of vaccine renewal and providing direction for the development of new vaccines. This article is protected by copyright. All rights reserved.

5.
Acm Transactions on Spatial Algorithms and Systems ; 8(3), 2022.
Article in English | Web of Science | ID: covidwho-2153110

ABSTRACT

COVID-19 has spread worldwide, and over 140 million people have been confirmed infected, over 3 million people have died, and the numbers are still increasing dramatically. The consensus has been reached by scientists that COVID-19 can be transmitted in an airborne way, and human-to-human transmission is the primary cause of the fast spread of COVID-19. Thus, mobility should be restricted to control the epidemic, and many governments worldwide have succeeded in curbing the spread by means of control policies like city lockdowns. Against this background, we propose a novel fine-grained transmission model based on realworld human mobility data and develop a platform that helps the researcher or governors to explore the possibility of future development of the epidemic spreading and simulate the outcomes of human mobility and the epidemic state under different epidemic control policies. The proposed platform can also support users to determine potential contacts, discover regions with high infectious risks, and assess the individual infectious risk. The multi-functional platform aims at helping the users to evaluate the effectiveness of a regional lockdown policy and facilitate the process of screening and more accurately targeting the potential virus carriers.

6.
Journal of Virology ; : e0124522, 2022.
Article in English | MEDLINE | ID: covidwho-2152892

ABSTRACT

The global spread of the novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the continuously emerging new variants underscore an urgent need for effective therapeutics for the treatment of coronavirus disease 2019 (COVID-19). Here, we screened several FDA-approved amphiphilic drugs and determined that sertraline (SRT) exhibits potent antiviral activity against infection of SARS-CoV-2 pseudovirus (PsV) and authentic virus in vitro. It effectively inhibits SARS-CoV-2 spike (S)-mediated cell-cell fusion. SRT targets the early stage of viral entry. It can bind to the S1 subunit of the S protein, especially the receptor binding domain (RBD), thus blocking S-hACE2 interaction and interfering with the proteolysis process of S protein. SRT is also effective against infection with SARS-CoV-2 PsV variants, including the newly emerging Omicron. The combination of SRT and other antivirals exhibits a strong synergistic effect against infection of SARS-CoV-2 PsV. The antiviral activity of SRT is independent of serotonin transporter expression. Moreover, SRT effectively inhibits infection of SARS-CoV-2 PsV and alleviates the inflammation process and lung pathological alterations in transduced mice in vivo. Therefore, SRT shows promise as a treatment option for COVID-19. IMPORTANCE The study shows SRT is an effective entry inhibitor against infection of SARS-CoV-2, which is currently prevalent globally. SRT targets the S protein of SARS-CoV-2 and is effective against a panel of SARS-CoV-2 variants. It also could be used in combination to prevent SARS-CoV-2 infection. More importantly, with long history of clinical use and proven safety, SRT might be particularly suitable to treat infection of SARS-CoV-2 in the central nervous system and optimized for treatment in older people, pregnant women, and COVID-19 patients with heart complications, which are associated with severity and mortality of COVID-19.

7.
Journal of Medical Virology ; 02:02, 2022.
Article in English | MEDLINE | ID: covidwho-2148390

ABSTRACT

The major challenge in COVID-19 vaccine effectiveness is immune escape by SARS-CoV-2 variants. To overcome this, an Omicron-specific mRNA vaccine was designed. The extracellular domain of the spike of the Omicron variant was fused with a modified GCN4 trimerization domain with low immunogenicity (TSomi). After immunization with TSomi mRNA in hamsters, animals were challenged with SARS-CoV-2 virus. The raised nonneutralizing antibodies or cytokine secretion responses can recognize both Wuhan S and Omicron S. However, the raised antibodies neutralized SARS-CoV-2 Omicron virus infection but failed to generate Wuhan virus neutralizing antibodies. Surprisingly, TSomi mRNA immunization protected animals from Wuhan virus challenge. These data indicated that nonneutralizing antibodies or cellular immunity may play a more important role in vaccine-induced protection than previously believed. Next-generation COVID-19 vaccines using the Omicron S antigen may provide sufficient protection against ancestral or current SARS-CoV-2 variants. This article is protected by copyright. All rights reserved.

9.
10.
Archives of Plastic Surgery. ; 2022.
Article in English | EMBASE | ID: covidwho-2087366

ABSTRACT

Background: The coronavirus disease 2019 (COVID-19) outbreak has had a major impact worldwide. Several countries have implemented restrictions on social interaction (social distancing). Several studies have reported that the epidemiology of trauma patients, such as those with facial bone fractures, has changed after COVID-19 pandemic. This study aimed to further explore these specific changes. Method(s): This was a retrospective study of patients who presented to a single institution with facial bone fractures between January 1, 2016, and December 31, 2020. Baseline patient demographics, clinical information, type of fracture, etiology, and operative management were compared before and after COVID-19. Result(s): Of all cases, 3,409 occurred before COVID-19, and 602 occurred after COVID-19. Since the outbreak of COVID-19, the number of patients with facial fractures has not decreased significantly. A significant increase was noted in fractures that occurred outdoors (p<0.001). However, a decrease was observed in operative management between the groups (p<0.001). There was no significant difference in the proportion of assault, fall-down, industrial accident, or roll-down. In contrast, the proportion of traffic accidents and slip-down categories increased significantly (p<0.05). Moreover, a significant decrease was found in the proportion of the sports category (p=0.001) Conclusion(s): It was confirmed through this study that COVID-19 pandemic also affected epidemiology of facial fractures. Focusing on these changes, it is necessary to develop safety measures to reduce facial fractures. Copyright © 2022 Korean Society of Plastic and Reconstructive Surgeons. All rights reserved.

11.
Natural Product Communications ; 17(10), 2022.
Article in English | Web of Science | ID: covidwho-2089021

ABSTRACT

Objective: Shiwei Qingwen decoction (SWQWD) is effective in preventing COVID-19. This study examined the active components of SWQWD and its potential targets for preventing COVID-19. The study used network pharmacology and molecular docking technology to verify the role of SWQWD targets through animal experiments and explored the mechanisms that enhance immunity to alleviate mild COVID-19 symptoms. Methods: First, SWQWD- and COVID-19-related targets were retrieved from TCMSP, GeneCards, and OMIM databases. Second, protein-protein interaction networks were established using the String database. The drug active ingredient target network was constructed in Cytoscape to identify the core target proteins. Third, Gene Ontology (GO) Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to predict the SWQWD mechanism of action. Finally, the targets were validated by molecular docking in an acute lung injury (ALI) rat model. Results: The SWQWD compound target network contained 79 compounds and 277 targets, coinciding with the 73 targets of COVID-19. The most important gene in the core subnetwork was a tumor necrosis factor (TNF). The 3 most potent compounds, quercetin, kaempferol, and luteolin, can enter the active pockets of TNF and have potential therapeutic roles in COVID-19. Conclusion: Quercetin, kaempferol, and luteolin in SWQWD may enhance immunity by regulating multiple TNF signal pathways. After administering SWQWD, the content of tumor necrosis factor-alpha was significantly reduced in the bronchoalveolar lavage fluid (BALF) of ALI rats in comparison to the model group. We believe SWQWD is able to prevent and control COVID-19 through the target of TNF.

12.
Ieee Access ; 10:104156-104168, 2022.
Article in English | Web of Science | ID: covidwho-2070271

ABSTRACT

The named entity recognition based on the epidemiological investigation of information on COVID-19 can help analyze the source and route of transmission of the epidemic to control the spread of the epidemic better. Therefore, this paper proposes a Chinese named entity recognition model BERT-BiLSTM-IDCNN-ELU-CRF (BBIEC) based on the epidemiological investigation of information on COVID-19 of the BERT pre-training model. The model first processes the unlabeled epidemiological investigation of information on COVID-19 into the character-level corpus and annotates it with artificial entities according to the BIOES character-level labeling system and then uses the BERT pre-training model to obtain the word vector with position information;then, through the bidirectional long-short term memory neural network (BiLSTM) and the improved iterated dilated convolutional neural network (IDCNN) extract global context and local features from the generated word vectors and concatenate them serially;output all possible label sequences to the conditional random field (CRF);finally pass the condition random The airport decodes and generates the entity tag sequence. The experimental results show that the model is better than other traditional models in recognizing the entity of the epidemiological investigation of information on COVID-19.

13.
Investigative Ophthalmology and Visual Science ; 63(7):2230-A0526, 2022.
Article in English | EMBASE | ID: covidwho-2058415

ABSTRACT

Purpose : Patients on systemic immunomodulatory therapy (IMT) for uveitis are at higher risk of infection and infectious complications. While other medical specialties have studied the safety of IMT in non-ocular, autoimmune conditions vis-à-vis coronavirus disease 2019 (COVID-19), little is known about the effects of these drugs in uveitis patients specifically. The objective of this study was to determine if uveitis patients with COVID-19 were at higher risk of hospitalization for this pandemic illness and whether systemic IMT affected this risk. Methods : Retrospective cohort study of uveitis patients in 2020 in the United States. The Symphony health insurance claims dataset was used. Inclusion criteria were an ICD10 code for COVID-19, a code for any form of non-infectious uveitis or scleritis, and age 18 or greater. Drugs studied included methotrexate, mycophenolate, azathioprine, tacrolimus, cyclosporine, adalimumab, infliximab, tocilizumab, rituximab, and JAK, IL-17, and IL-12/23 inhibitors. The main outcome measure was adjusted odds of hospitalization for COVID19. Multivariable logistic regression was used to adjust for major risk factors for severe COVID-19 disease, including age, biological sex, cardiac, pulmonary, hepatic, and renal disease, obesity, organ transplant, stroke, and certain cancers. Results : 3,974,272 patients in the dataset were diagnosed with COVID-19 in 2020. Of these, 6389 (0.16%) had established diagnoses of uveitis or scleritis. Within the uveitis group, mean age was 54 years (SD 16), and 62% were female. 708 (11.1%) of the uveitis patients were hospitalized for COVID-19, significantly greater than the 7.3% rate amongst all adult, COVID-19-positive patients in the dataset (p < 0.001) and the CDC estimate of 7.5% for the US population in 2020 (p < 0.001). No agent showed a statistically significant effect on hospitalization. The higher rate of hospitalization in uveitis patients was partly, though not completely, explained by higher rates in uveitis-associated autoimmune conditions in the dataset as a whole. Conclusions : Uveitis patients have a greater risk of hospitalization for COVID-19 compared with the general population. As a whole, conventional IMT and biologics do not increase the risk of COVID-19 hospitalization amongst uveitis patients infected with the virus.

14.
Journal of Geo-Information Science ; 24(9):1701-1716, 2022.
Article in Chinese | Scopus | ID: covidwho-2056379

ABSTRACT

With the proposal of "carbon peak" and "carbon neutralization", Liquefied Natural Gas (LNG) has gradually garnered the attention of energy market as a clean and low-carbon energy. In this context, it is of great significance to analyze the evolution mode of the LNG maritime transport network, so as to master the dynamic of global energy pattern and the status of China's import trade. In this paper, the evolution trend of the global LNG maritime transport network from 2018 to 2020 is explored based on the ship trajectory data and complex network theory. Meanwhile, according to China's trade status, LNG import sources, distribution of main import ports, and the inflow status of the top three import ports in China are analyzed. The results show that: (1) From 2018 to 2020, the global LNG maritime transport network expanded with a "scale-free" characteristic. The "breadth" and "depth" of node connections in the backbone network are increasing, and there is a risk that global LNG trade will become monopolistic;(2) The countries along the "Belt and Road Initiative" actively participated in trade. The numbers of import ports and import voyages in Central and North America, South and Southeast Asia have significantly increased, and in particular, Sabetta and Bonny ranked the top eight globally according to their export volume;(3) The average shortest path length of the network is increasing year by year from 2018 to 2020, and the new mode of "transshipment port" business is gradually emerging. By 2020, 21 transshipment ports have participated in LNG trade, and the United States occupies the dominant position in global transshipment;(4) In recent three years, China's LNG import scale has developed rapidly, and the flow direction of the maritime transport network tends to be diversified. However, Australia is still the main LNG source for China. In terms of import volume, the ports of Tianjin, Shenzhen, and Yung'an rank the top three in China, and the pressure to reduce carbon emissions has prompted the economically developed regions to build terminals and increase imports. © 2022, Science Press. All right reserved.

15.
31st International Joint Conference on Artificial Intelligence, IJCAI 2022 ; : 2348-2354, 2022.
Article in English | Scopus | ID: covidwho-2047071

ABSTRACT

Low-rank tensor factorization or completion is well-studied and applied in various online settings, such as online tensor factorization (where the temporal mode grows) and online tensor completion (where incomplete slices arrive gradually). However, in many real-world settings, tensors may have more complex evolving patterns: (i) one or more modes can grow;(ii) missing entries may be filled;(iii) existing tensor elements can change. Existing methods cannot support such complex scenarios. To fill the gap, this paper proposes a Generalized Online Canonical Polyadic (CP) Tensor factorization and completion framework (named GOCPT) for this general setting, where we maintain the CP structure of such dynamic tensors during the evolution. We show that existing online tensor factorization and completion setups can be unified under the GOCPT framework. Furthermore, we propose a variant, named GOCPTE, to deal with cases where historical tensor elements are unavailable (e.g., privacy protection), which achieves similar fitness as GOCPT but with much less computational cost. Experimental results demonstrate that our GOCPT can improve fitness by up to 2.8% on the JHU Covid data and 9.2% on a proprietary patient claim dataset over baselines. Our variant GOCPTE shows up to 1.2% and 5.5% fitness improvement on two datasets with about 20% speedup compared to the best model. © 2022 International Joint Conferences on Artificial Intelligence. All rights reserved.

16.
Cogent Social Sciences ; 8(1), 2022.
Article in English | Web of Science | ID: covidwho-2042496

ABSTRACT

The outbreak of COVID-19 in 2019 has posed an unprecedented threat to the global economy. Due to the pandemic, the hotel industry has undergone fundamental changes. In particular, social distancing technology (SDT) has become an indispensable tool in this industry and has played a vital role in its recovery. This study explores the factors that affect customer trust in using SDT in hotels during COVID-19 and how this trust affects their booking intention. The research uses social exchange theory (SET) as the theoretical basis and measures the benefits and perceived risks of using SDT through the benefit-risk method. In addition, the technology acceptance model (TAM) is introduced, and two attributes are added: perceived ease of use and perceived usefulness. A total of 437 questionnaires were distributed, of which 405 were valid. Research results show that benefits, perceived usefulness, and perceived ease of use positively affect trust in SDT, while privacy concerns have a negative impact. Health risks and social rewards are not directly related to trust in SDT.This study provides ideas for future research on the health aspects of SDT by studying the benefits and health risks brought about by its use. For relevant practitioners, hotels should reasonably incorporate SDT into their daily operations and conduct regular disinfection to reduce the risks caused by direct and indirect contact to protect the lives and health of both customers and workers.

17.
31st ACM Web Conference, WWW 2022 ; : 660-662, 2022.
Article in English | Scopus | ID: covidwho-2029543

ABSTRACT

The eighth edition of the workshop on Mining Actionable Insights from Social Networks (MAISoN 2022) took place virtually on April 26th, 2022, co-located with the ACM Web Conference 2022 (WWW 2022). This year, we organized a special edition with focus on mental health and social media. The aim of this edition was to bring together researchers from different disciplines to discuss research that goes beyond descriptive analysis of social media data and instead investigate different techniques that use social media data for building diagnostic, predictive and prescriptive analysis models for mental health applications. This topic attracted a lot of interest from the community especially because of all the considerations surrounding the impact of social media during the COVID-19 pandemic which has impacted on people's mental health issues. © 2022 Owner/Author.

18.
31st ACM Web Conference, WWW 2022 ; : 673-676, 2022.
Article in English | Scopus | ID: covidwho-2029540

ABSTRACT

The COVID-19 pandemic exacerbated the ongoing opioid crisis in the United States. Individuals with a substance use disorder are vulnerable to relapse during times of acute stress. Online peer support communities (OPSCs) have the potential to decrease social isolation and increase social support for participants. In September 2020, we launched a private, professional-moderated OPSC using the Facebook Group platform to study its effects on the mental health wellness of women undergoing substance use treatment. This study was particularly meaningful as the participants were not able to join in-person treatment sessions due to the COVID-19 pandemic. Preliminary findings indicate that study participants reported decreased loneliness and increased online social support three months after initiating the OPSC. They tended to interact with content initiated by a clinical professional more than those generated by peers. © 2022 ACM.

19.
2022 IEEE International Conference on Communications, ICC 2022 ; 2022-May:3346-3351, 2022.
Article in English | Scopus | ID: covidwho-2029231

ABSTRACT

With outbreak of the COVID-19 pandemic, contact tracing has become an important problem. It has been proven that maintaining social distance and isolating affected people are highly beneficial for curbing the spread of COVID-19, which all depend on identifying people's trajectories. However, the current interview-based approach is costly, and the existing mobile app-based schemes rely on complete and accurate data. In this paper, we propose a transformer encoder-based approach with spatial position embedding extracted using a graph Combinatorial Laplacian matrix to interpolate incomplete human trajectories. To model human trajectory, we propose a graphical embedded module to extract spatial features based on predefined location clusters. The incomplete trajectory sequences are first preprocessed into matrices and then used to train a deep transformer encoder network for trajectory completion. Our experiments using a real world Bluetooth Low Energy (BLE) dataset validate the efficacy of our proposed approach, which outperforms several baseline methods. © 2022 IEEE.

20.
21st ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2022 ; : 15-27, 2022.
Article in English | Scopus | ID: covidwho-2018899

ABSTRACT

With the recent societal impact of COVID-19, companies and government agencies alike have turned to thermal camera based skin temperature sensing technology to help screen for fever. However, the cost and deployment restrictions limit the wide use of these thermal sensing technologies. In this work, we present SIFTER, a low-cost system based on a RGB-thermal camera for continuous fever screening of multiple people. This system detects and tracks heads in the RGB and thermal domains and constructs thermal heat map models for each tracked person, and classifies people as having or not having fever. SIFTER can obtain key temperature features of heads in-situ at a distance and produce fever screening predictions in real-time, significantly improving screening through-put while minimizing disruption to normal activities. In our clinic deployment, SIFTER measurement error is within 0.4°F at 2 meters and around 0.6°F at 3.5 meters. In comparison, most infrared thermal scanners on the market costing several thousand dollars have around 1°F measurement error measured within 0.5 meters. SIFTER can achieve 100% true positive rate with 22.5% false positive rate without requiring any human interaction, greatly outperforming our baseline [1], which sees a false positive rate of 78.5%. © 2022 IEEE.

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