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1.
Front Med (Lausanne) ; 9, 2022.
Article in English | PubMed Central | ID: covidwho-2198980

ABSTRACT

Background: The management of LT patients during COVID-19 pandemic is important. Immunosuppressants (IS) are key therapy agents after liver transplant. Different ISs have different side effects. Calcineurin inhibitor (CNI) may lead to metabolic acidosis while mycophenolate mofetil (MMF) showed rare nephrotoxicity. We report a post-liver transplant girl who was infected with SARS-CoV-2, developing a severe mixed acidosis 3 months after the transplantation. Her acidosis was improved after withdrawing of MMF, leading the suspicion that acidosis maybe a rare side effect of MMF. Case presentation: A girl was admitted to our hospital due to SARS-CoV-2 infection, 3 months before admission the patient received LT due to Niemann-Pick disease (NPD). During hospitalization, blood gas analysis showed severe mixed acidosis. To relieve mixed acidosis, the patient was given oral rehydration salt and liquid replacement therapy. Considering that immunosuppressants may cause metabolic acidosis, dose of CsA was decreased and MMF was discontinued. Results: However, liquid replacement therapy and decreased CsA dose cannot improve the condition. As an attempt, MMF was discontinued, and 3 days later, the girl's acidosis was relieved, the latest blood gas analysis was normal with the original dose of CsA and no use of MMF or other IS. In addition, we used Naranjo Scale to see if adverse drug reactions (ADRs) existed. The final score was 6 which means MMF contributes to acidosis probably. Conclusion: The girl's mixed acidosis cannot be explained by Niemann-Pick disease and SARS-CoV-2 infection. CNIs could cause metabolic acidosis but declining the dose of CsA didn't improve her acidosis while withdrawing MMF showed a good effect. Together with the Naranjo Scale result, we suspect that acidosis maybe a rare side effect of MMF.

2.
Front Cell Infect Microbiol ; 12, 2022.
Article in English | PubMed Central | ID: covidwho-2198717

ABSTRACT

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the seventh coronavirus (CoV) that has spread in humans and has become a global pandemic since late 2019. Efficient and accurate laboratory diagnostic methods are one of the crucial means to control the development of the current pandemic and to prevent potential future outbreaks. Although real-time reverse transcription-polymerase chain reaction (rRT-PCR) is the preferred laboratory method recommended by the World Health Organization (WHO) for diagnosing and screening SARS-CoV-2 infection, the versatile immunoassays still play an important role for pandemic control. They can be used not only as supplemental tools to identify cases missed by rRT-PCR, but also for first-line screening tests in areas with limited medical resources. Moreover, they are also indispensable tools for retrospective epidemiological surveys and the evaluation of the effectiveness of vaccination. In this review, we summarize the mainstream immunoassay methods for human coronaviruses (HCoVs) and address their benefits, limitations, and applications. Then, technical strategies based on bioinformatics and advanced biosensors were proposed to improve the performance of these methods. Finally, future suggestions and possibilities that can lead to higher sensitivity and specificity are provided for further research.

3.
Journal of Cosmetic Dermatology ; 06:06, 2023.
Article in English | MEDLINE | ID: covidwho-2192840
4.
Brief Bioinform ; 2023.
Article in English | PubMed | ID: covidwho-2188256

ABSTRACT

The proliferation of single-cell multimodal sequencing technologies has enabled us to understand cellular heterogeneity with multiple views, providing novel and actionable biological insights into the disease-driving mechanisms. Here, we propose a comprehensive end-to-end single-cell multimodal analysis framework named Deep Parametric Inference (DPI). DPI transforms single-cell multimodal data into a multimodal parameter space by inferring individual modal parameters. Analysis of cord blood mononuclear cells (CBMC) reveals that the multimodal parameter space can characterize the heterogeneity of cells more comprehensively than individual modalities. Furthermore, comparisons with the state-of-the-art methods on multiple datasets show that DPI has superior performance. Additionally, DPI can reference and query cell types without batch effects. As a result, DPI can successfully analyze the progression of COVID-19 disease in peripheral blood mononuclear cells (PBMC). Notably, we further propose a cell state vector field and analyze the transformation pattern of bone marrow cells (BMC) states. In conclusion, DPI is a powerful single-cell multimodal analysis framework that can provide new biological insights into biomedical researchers. The python packages, datasets and user-friendly manuals of DPI are freely available at https://github.com/studentiz/dpi.

5.
World Journal of Pediatrics ; 2023.
Article in English | EMBASE | ID: covidwho-2175144

ABSTRACT

Background: Gut microbiota alterations have been implicated in the pathogenesis of coronavirus disease 2019 (COVID-19). This study aimed to explore gut microbiota changes in a prospective cohort of COVID-19 children and their asymptomatic caregivers infected with the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) Omicron variant. Method(s): A total of 186 participants, including 59 COVID-19 children, 50 asymptomatic adult caregivers, 52 healthy children (HC), and 25 healthy adults (HA), were recruited between 15 April and 31 May 2022. The gut microbiota composition was determined by 16S rRNA gene sequencing in fecal samples collected from the participants. Gut microbiota functional profiling was performed by using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) software. Result(s): The gut microbiota analysis of beta diversity revealed that the fecal microbial community of COVID-19 children remained far distantly related to HC. The relative abundances of the phyla Actinobacteria and Firmicutes were decreased, whereas Bacteroidetes, Proteobacteria, and Verrucomicrobiota were increased in COVID-19 children. Feces from COVID-19 children exhibited notably lower abundances of the genera Blautia, Bifidobacterium, Fusicatenibacter, Streptococcus, and Romboutsia and higher abundances of the genera Prevotella, Lachnoclostridium, Escherichia-Shigella, and Bacteroides than those from HC. The enterotype distributions of COVID-19 children were characterized by a high prevalence of enterotype Bacteroides. Similar changes in gut microbiota compositions were observed in asymptomatic caregivers. Furthermore, the microbial metabolic activities of KEGG (Kyoto Encyclopedia of Genes and Genomes) and COG (cluster of orthologous groups of proteins) pathways were perturbed in feces from subjects infected with the SARS-CoV-2 Omicron variant. Conclusion(s): Our data reveal altered gut microbiota compositions in both COVID-19 children and their asymptomatic caregivers infected with the SARS-CoV-2 Omicron variant, which further implicates the critical role of gut microbiota in COVID-19 pathogenesis. Copyright © 2023, Children's Hospital, Zhejiang University School of Medicine.

6.
3rd International Conference on Big Data and Artificial Intelligence and Software Engineering, ICBASE 2022 ; 3304:203-213, 2022.
Article in English | Scopus | ID: covidwho-2168841

ABSTRACT

Understanding the main information about the current situation of the tourism market has become an urgent need and new trends in the development of the tourism market. In this paper, we use natural language processing technology to analyze the development of tourism around Maoming City, Guangdong Province during the COVID-19 epidemic by means of data mining methods to build a local tourism graph, refine and design models and methods such as RoBERTa-BiGRU-Attention fusion model, dual contrastive learning, BERT-BiLSTM-CRF named entity identification technique, improved Apriori algorithm, GNNLP model based on conventional models and proved the rationality and efficiency of the improved model by comparative test, provide oriented suggestions to help government departments promote tourism and tourism enterprises product supply, optimize resource allocation and explore the market constantly during the epidemic period after scientific analysis and summary. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)

8.
Progress in Biochemistry and Biophysics ; 49(10):1848-1865, 2022.
Article in Chinese | Web of Science | ID: covidwho-2204239

ABSTRACT

Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This virus is highly contagious and spreads rapidly, posing a serious threat to the health and safety of people around the world. Proteomics technology has the characteristics of high throughput and high sensitivity, and plays an important role in biomarker discovery, molecular mechanism research, and therapeutic target research. Proteomics technology has been widely used in the research of COVID-19. Herein, this study provides a comprehensive review of the research progress of COVID-19 based on proteomics techniques. In section 1, the genome structure of SARS-CoV-2 and the process of SARS-CoV-2 infecting host cells were summarized. In section 2, the currently commonly used mass spectrometry (MS) -based proteomics techniques including liquid chromatography (LC)-MS and matrix-assisted laser desorption/ionization time-of-flight (MALDITOF) MS were reviewed. In section 3, the application progress in the research of precise diagnosis, molecular mechanism and drug therapy targets of COVID-19 based proteomics technology was highlighted. Proteomics have been employed in biomedical research to uncover biomarkers associated with COVID-19, it also provides a comprehensive snapshot of virus-induced changes to the host following infection, invasion, persistence, and pathogenesis and can prime the identification of novel therapeutic targets for preventing or lessening disease severity. In section 4, the future development direction of proteomics was prospected. It's hoped that this review can help to promote the development of proteomics technology in the precise diagnosis and treatment of diseases.

9.
World Journal of Clinical Cases ; 10(34):12559-12565, 2022.
Article in English | MEDLINE | ID: covidwho-2203802

ABSTRACT

BACKGROUND: There are difficulties in diagnosing nosocomial transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in hospital settings. Furthermore, mortality of cases of nosocomial infection (NI) with SARS-CoV-2 is higher than that of the general infected population. In the early stage of the pandemic in Taiwan, as patients were not tested for SARS-CoV-2 at admission, NIs often go undetected. Strictly applying the systematic polymerase chain reaction (PCR) screening, as a standard infection control measure was subsequently implemented to reduce NI incidence. However, evidence on risk factors for SARS-CoV-2 NIs among healthcare workers (HCWs) and caregivers is limited.

10.
Acupuncture and Herbal Medicine ; 2(3):184-95, 2022.
Article in English | PubMed Central | ID: covidwho-2161219

ABSTRACT

This study aimed to systematically review and depict the current studies of traditional Chinese medicine for the mental health of patients with coronavirus disease 2019 (COVID-19).Methods:: A scoping review was conducted by searching PubMed, Web of Science, CNKI, Wanfang database, VIP database, and SinoMed, with the retrieval time being from the establishment of the database to April 18, 2022. The basic information of the included studies, objective, design, types of patients, interventions, outcomes, etc., was reviewed and summarized narratively. Methodological quality was assessed using the Cochrane Risk of Bias assessment tool, the methodological index for non-randomized studies or the Newcastle–Ottawa scale. Results:: We identified 30 traditional Chinese medicine (TCM) studies from six databases. Among them, finished randomized controlled trials (n = 16) accounted for most of the studies, followed by single-arm studies (n = 9). In terms of study theme, 20 studies defined the mental health of patients with COVID-19 as the research theme. Psychological assessment was included in the inclusion criteria (performed before participation) of nine studies, whereas the other studies only mentioned the mental outcomes. TCM interventions included TCM exercises (Yijinjing, Baduanjin, Liuzijue, Taichi), acupoint stimulation (auricular and body points), moxibustion, decoction, or granules based on TCM syndrome differentiation, decoction, or granules with fixed formulae (Baidu Jieduan granules, Xuanfei Baidu decoction, and Qingfei Paidu decoction), Chinese patent medicine (Jinhua Qinggan granules), TCM psychological therapy (TCM ideological therapy, TCM five-tone therapy, and TCM psychological sand table), and TCM nursing (dialectical care, dialectical diet, and psychological counseling). Anxiety and depression were the main outcomes evaluated in regard to mental health in patients with COVID-19. The limitations of methodological quality were predominantly from follow-up, blinding, and registration. Positive results were reported by 27 studies (90%, n = 30). Conclusion:: We summarized the existing literature about the impact of TCM on mental health in patients with COVID-19. The number of studies evaluating the impact of TCM on mental health is encouraging, but overall methodological quality was low. Several TCM interventions warrant further evaluation, particularly among populations outside of China, for the purpose of establishing supporting evidence. More importantly, research with stronger methodological quality needs to be developed. Graphical :: http://links.lww.com/AHM/A36.

11.
16th IEEE International Conference on Networking, Architecture and Storage, NAS 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2136446

ABSTRACT

As the COVID-19 pandemic scattered businesses and their workforces into new scales of remote work, vital security concerns arose surrounding remote access. Bring Your Own Device (BYOD) also plays a growing role in the ability of companies to support remote workforces. As more enterprises embrace concepts of zero trust in their network security posture, access control policy management problems become a more significant concern as it relates to BYOD security enforcement. This BYOD security policy must enable work from home, but enterprises have a vested interest in maintaining the security of their assets. Therefore, the BYOD security policy must strike a balance between access, security, and privacy, given the personal device use. This paper explores the challenges and opportunities of enabling zero trust in BYOD use cases. We present a BYOD policy specification to enable the zero trust access control known as BYOZ. Accompanying this policy specification, we have designed a network architecture to support enterprise zero trust BYOD use cases through the novel incorporation of continuous authentication & authorization enforcement. We evaluate our architecture through a demo implementation of BYOZ and demonstrate how it can meet the needs of existing enterprise networks using BYOD. © 2022 IEEE.

12.
25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022 ; 2022-October:3849-3854, 2022.
Article in English | Scopus | ID: covidwho-2136418

ABSTRACT

The outbreak of COVID-19 has made a profound impact on mobility, especially for public transport users. Extensive research has been conducted on the change of travel patterns in major cities where public transport systems have been well developed and heavily used. However, in small cities, the public transport network is relatively sparse, especially in suburban areas, which makes the corresponding travel patterns differ from those in major cities. Therefore, proper investigation of the public transport usage in such small cities is still needed, especially under the COVID-19 impact. This paper aims to reveal the change of public transport users' travel patterns based on a comparative study of public transport usage Pre-COVID and during the COVID-19 period. The Illawarra, a coastal region close to Sydney in Australia is used as a case study. Smart card data is used to reveal relevant changes in both intraregion (in the Illawarra) and inter-region (between the Illawarra and Sydney) travels in consideration of heterogeneous user groups. The results show a significant decrease (around 47%) in public transport ridership by both train and bus. However, compared to intra-region ridership, the inter-region trips by train drop much more (around 62%). Moreover, heterogeneous age group passengers show different changes after the COVID-19 outbreak. The research findings are expected to provide valuable suggestions for policy making and public transport service adjustment when a similar crisis occurs again. © 2022 IEEE.

13.
School Library Research ; 25, 2022.
Article in English | Scopus | ID: covidwho-2126204

ABSTRACT

This study used qualitative methodology based on focus group interviews to explore school librarians ' involvement during the move to online teaching and learning contexts. Findings indicate these educators felt underutilized because of stakeholder misperceptions of their roles. However, most school librarians in the study reported creating informal communities of practice to support teachers and students through innovative responses to online learning demands caused by the COVID-19 pandemic. © 2022, American Library Association. All rights reserved.

14.
Sustainability ; 14(21), 2022.
Article in English | Web of Science | ID: covidwho-2123814

ABSTRACT

Most of China's historic districts are located in urban centers with excessive building density and possess rich historical, cultural, scientific and aesthetic value. However, historic districts lack infrastructure and specific plans for emergency response compared to modern residential areas in cities, creating a social inequity trap for the residents in both. In addition, as valuable material cultural heritage, the usual conservation of local culture and the ecological environment conflict with anti-epidemic requirements. This study proposes a system of strategies for responding to public health emergencies that can address the above issues. Through the methods of policy refinement and the application of the concept of normal and disaster time conversion, the strategic system was constructed, including five major aspects: emergency preparedness programs at the planning level, installation of modulized variable devices, environmentally friendly health protection, disaster prevention preparation at the spatial level, and plant configuration. It is beneficial to improve the disaster prevention system for special urban communities and provide a reference for emergency planning in the future regeneration process of historic districts.

15.
Environmental Research Communications ; 4(11), 2022.
Article in English | Web of Science | ID: covidwho-2121331

ABSTRACT

COVID-19 has brought significant impacts on the global economy and environment. The Global Economic-and-environmental Policy Uncertainty (GEPU) index is a critical indicator to measure the uncertainty of global economic policies. Its prediction provides evidence for the good prospect of global economic and environmental policy and recovery. This is the first study using the monthly data of GEPU from January 1997 to January 2022 to predict the GEPU index after the COVID-19 pandemic. Both Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) models have been adopted to predict the GEPU. In general, the RNN outperforms the LSTM networks, and most results suggest that the GEPU index will remain stable or decline in the coming year. A few results point to the possibility of a short-term increase in GEPU, but still far from its two peaks during the first year of the COVID-19 pandemic. This forecast confirms that the impact of the epidemic on global economic and environmental policy will continue to wane. Lower economic and environmental policy uncertainty facilitates global economic and environmental recovery. Economic recovery brings more opportunities and a stable macroeconomic environment, which is a positive sign for both investors and businesses. Meanwhile, for the ecological environment, the declining GEPU index marks a gradual reduction in the direct impact of policy uncertainty on sustainable development, but the indirect environmental impact of uncertainty may remain in the long run. Our prediction also provides a reference for subsequent policy formulation and related research.

16.
2022 International Joint Conference on Information and Communication Engineering, JCICE 2022 ; : 137-140, 2022.
Article in English | Scopus | ID: covidwho-2107831

ABSTRACT

Restoring economic development while strictly preventing and controlling the epidemic is the new challenge for the Chinese government under the normal state of COVID-19 epidemic prevention and control. This paper constructs an epidemic situation-population flow-consumption climate index model based on K-means clustering analysis algorithm. The model extracts the real-time and historical power consumption of residents, merchants and enterprises as the basic data, selects the epidemic information and user attributes as the classification parameters, applies k-means algorithm for cluster analysis, and finally obtains the relationship between consumption climate index and population flow index which reflects the government's monitoring strength. A case of delta COVID-19 in Hubei from August 1, 2021, to August 16, 2021, was analyzed. The analysis results show that the epidemic prevention and control effect is obvious, and population mobility is significantly reduced. © 2022 IEEE.

17.
Journal of Food and Drug Analysis ; 30(3):440-453, 2022.
Article in English | EMBASE | ID: covidwho-2067698

ABSTRACT

The jelly from achenes of Ficus pumila var. awkeotsang (FPAA) is a famous beverage ingredient in Taiwan. In this work, ficumarin (1), a new compound was obtained from its twigs (FPAT) and elucidated with comprehensive spectroscopic data. The biosynthetic origin was proposed from the p-coumaroyl-CoA pathway. Alloxanthoxyletin, betulinic acid, and catechin were identified as the major and active constituents responsible for relieving neutrophilic inflammation by FPAT. Among them, the most potent alloxanthoxyletin was found to interact with PRO350 and GLU377 of human INOSOX. Further, Nrf2 activating capacity of the FPAT fraction and its coumarins was confirmed. With the analysis of LC-MS/MS data and feature-based molecular networking, coumarins were found as the dominant and responsible components. Notably, alloxanthoxyletin increased Nrf2 expression by up to 816.8 +/- 58% due to the interacting with the VAL561, THR560 and VAL420 residues of 5FNQ protein. COVID-19 Docking Server simulation indicated that pyranocoumarins would promisingly interfere with the life cycle of SARS-CoV-2. FPAT was proven to exert. Copyright © 2022 Taiwan Food and Drug Administration.

19.
Springer Protocols Handbooks ; : C1, 2022.
Article in English | EMBASE | ID: covidwho-2059678

ABSTRACT

Correction to: Chapter 6 in: LeyiWang (ed.), Animal Coronaviruses, Springer Protocols Handbooks, https://doi.org/10.1007/978-1-0716-2091-5_6 In the original version of this book, the title of Chapter 6 was published incorrectly. This has been rectified in the updated version of this book. Copyright © 2022, The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

20.
Journal of Medical Pest Control ; 38(4):390-393, 2022.
Article in Chinese | Scopus | ID: covidwho-2056264

ABSTRACT

Objective To understand the willingness and factors of children's parents for COVID- 19 inoculation,and to provide the basis for the formulation of COVID- 19 inoculation strategy. Methods Easy sampling was used to conduct questionnaire survey on parents of 215 children from a Grade AAA hospital in Wuhan between December 2020 and January 2021. Results One hundred and fifteen valid questionnaires were collected, and 96.74% of parents had heard of COVID- 19 before this survey. WeChat accounts 43.72%(94/215) and Tiktok accounts 28.37%(61/215) were main sources of COVID- 19 and vaccine- related knowledge. 90.23%(194/215) of the parents of children were willing to be inoculated against COVID- 19, and 9.77%(21/215) of children’s parents weren’ t willing to be inoculated against COVID -19 vaccine, mainly because they believed that the interval between the development and use of the vaccine was short,the necessity of time spending in considering(38.10%, 8/21),concerns about adverse effects and safety(47.62%,10/21). Parents of children with a bachelor's degree(OR=0.034,95% CTJO.002-0.582) and a monthly income of 5 000 to 7 999 Yuan(OR=11.459,95%CI-1.708-76.870) were more likely to inoculate COVID- 19 vaccine. Conclusion Parents of children have high willingness to inoculate COVID- 19 vaccines, while they show concerns about adverse reactions and safety of vaccines. The authorities concerned are recommended to strengthen the publicity of inoculation knowledge of COVID- 19 to thereby ease public doubts and ensure safe and effective promotion of vaccines. © 2022, Editorial Department of Medical Pest Control. All rights reserved.

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