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1.
Drug Evaluation Research ; 45(7):1426-1434, 2022.
Article in Chinese | EMBASE | ID: covidwho-20239013

ABSTRACT

In order to comprehensively understand the research hotspots and development trends of Lonicera Japonica Flos in the past 20 years, and to provide intuitive data reference and objective opinions and suggestions for subsequent related research in this field, this study collected 8 871 Chinese literature and 311 English literature related to Lonicera Japonica Flos research in the core collection databases of Wanfang Data), CNKI and Web of Science (WOS) from 2002 to 2021, and conducted bibliometric and visual analysis using vosviewer. The results showed that the research on the active components of Lonicera Japonica Flos based on phenolic acid components, the research on the mechanism of novel coronavirus pneumonia based on data mining and molecular docking technology, and the pharmacological research on the anti-inflammatory and antiviral properties of Lonicera Japonica Flos are the three hot research directions in the may become the future research direction. In this paper, we analyze the research on Lonicera Japonica Flos from five aspects: active ingredients, research methods, formulation and preparation, pharmacological effects and clinical applications, aiming to reveal the research hotspots, frontiers and development trends in this field and provide predictions and references for future research.Copyright © Drug Evaluation Research 2022.

2.
Medical Journal of Peking Union Medical College Hospital ; 12(1):44-48, 2021.
Article in Chinese | EMBASE | ID: covidwho-2327406

ABSTRACT

Objective To explore the application of ultrasound-guided arterial line placement in severe patients with COVID-19. Methods From February to April 2020, we retrospectively collected and analyzed the clinical data of critical patients with COVID-19 with an indwelling peripheral arterial catheter treated by the medical team of Peking Union Medical College Hospital. Patients with ultrasound-guided peripheral arterial catheterization were taken as the study group, while patients whose arterial catheter was placed by traditional palpation were taken as the control group. The puncture condition and complication rate were compared between the two groups. Results A total of 60 severe patients with COVID-19 who met the inclusion and exclusion criteria were enrolled in this study. There were 30 cases in the study group and 30 cases in the control group. In the study group, the success rate of the first catheterization of the peripheral artery (63.3% vs. 26.7%) and the total puncture success rate [(79.43+/- 25.79)% vs. (53.07+/-30.21)%] were higher than those in the control group (all P < 0.05), the puncture times(1.43+/-0.56 vs. 2.50+/-1.28) were less than those of the control group (P < 0.05). The rates of 24-hour disuse (6.7% vs. 30.0%), local hematoma (10.0% vs. 36.7%), occlusion, and tortuous (3.3% vs. 40.0%) in the study group were lower than those in the control group (all P < 0.05). Conclusion Under the three-level protection, ultrasound-guided arterial catheter placement for severe patients with COVID-19 can improve the success rate of catheter placement, reduce puncture times, and reduce the incidence of complications.Copyright © 2021, Peking Union Medical College Hospital. All rights reserved.

3.
Engineering ; 19:153-165, 2022.
Article in English | Web of Science | ID: covidwho-2310276

ABSTRACT

Accurately assessing and tracking the progression of liver-specific injury remains a major challenge in the field of biomarker research. Here, we took a retrospective validation approach built on the mutuality between serum and tissue biomarkers to characterize the liver-specific damage of bile duct cells caused by a-naphthyl isothiocyanate (ANIT). We found that carboxylesterase 1 (CES1), as an intrahepatic marker, and dipeptidyl peptidase 4 (DPP-IV), as an extrahepatic marker, can reflect the different pathophysiolo-gies of liver injury. Levels of CES1 and DPP-IV can be used to identify liver damage itself and the inflam-matory state, respectively. While the levels of the conventional serological biomarkers alkaline phosphatase (ALP), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) were all con-comitantly elevated in serum and tissues after ANIT-induced injury, the levels of bile acids decreased in bile, increased in serum, and ascended in intrahepatic tissue. Although the level of c-glutamyl transpeptidase (c-GT) changed in an opposite direction, the duration was much shorter than that of CES1 and was quickly restored to normal levels. Therefore, among the abovementioned biomarkers, only CES1 made it possible to specifically determine whether the liver cells were destroyed or damaged with-out interference from inflammation. CES1 also enabled accurate assessment of the anti-cholestasis effects of ursodeoxycholic acid (UDCA;single component) and Qing Fei Pai Du Decoction (QFPDD;multi-component). We found that both QFPDD and UDCA attenuated ANIT-induced liver damage. UDCA was more potent in promoting bile excretion but showed relatively weaker anti-injury and anti-inflammatory effects than QFPDD, whereas QFPDD was more effective in blocking liver inflammation and repairing liver damage. Our data highlights the potential of the combined use of CES1 (as an intra-hepatic marker of liver damage) and DPP-IV (as an extrahepatic marker of inflammation) for the accurate evaluation and tracking of liver-specific injury-an application that allows for the differentiation of liver damage and inflammatory liver injury.(c) 2021 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

4.
Forests ; 13(11), 2022.
Article in English | Scopus | ID: covidwho-2269833

ABSTRACT

Some policies implemented during the pandemic extended the time that students spend on electronic devices, increasing the risk of physical and eye strain. However, the role of different environments on eye strain recovery has not been determined. We recruited 20 undergraduate students (10 males and 10 females) from a university in eastern China and explored the restoration effects of their eye strain in different types of spaces (wayside greenspace, a playground, a square, and woodland) on campus through scale measurements. The results showed that the eye strain of the students accumulated by 15 min of e-learning was significantly relieved after 10 min of greenspace exposure compared to the indoor environment, and the recovery effect varied depending on the type of landscape. The effect of eye strain relief was found to be positively correlated with temperature, wind speed, visible sky ratio, canopy density, tree density, and solar radiation intensity, while it was negatively correlated with relative humidity. These findings enrich the research on the restoration benefits of greenspaces and provide a basis for predicting the effect of different environments on the relief of eye strain. © 2022 by the authors.

5.
Future Virology ; 18(1):9-20, 2023.
Article in English | EMBASE | ID: covidwho-2259604

ABSTRACT

What is this summary about? This is a summary of an article about part of a clinical study for the BNT162b2 COVID-19 vaccine, also called the Pfizer-BioNTech vaccine. The article was published in the New England Journal of Medicine in May 2021. This summary describes how the vaccine worked in participants 12- to 15-years old. The part of the study described in the article is ongoing and expected to finish March 2023. This means that the final results may be different from the results included in this summary. What happened in this study? The part of the study described in this summary included participants 12- to 15-years old who had no serious health issues. The BNT162b2 vaccine had already been studied in participants 16 years of age or older. In this part of the study, the researchers wanted to find out: * How effective and safe the vaccine was in participants 12- to 15-years old. * What the immune response to the vaccine and the vaccine safety were like in 12- to 15-year-olds compared with 16- to 25-year-olds. * How well the vaccine prevented SARS-CoV-2 infections in participants who received the vaccine compared to those who did not. This is also called efficacy of the BNT162b2 vaccine Half of the participants in this study received 2 injections of the BNT162b2 vaccine and half received 2 injections of a placebo in a muscle of the upper arm. The placebo looked like the BNT162b2 vaccine but did not have any active vaccine in it. What were the results? * BNT162b2 had a favorable safety profile. The most common reactions were pain at the injection site, fatigue, and headache. None of the participants had serious reactions to the vaccine. * The 12- to 15-year-old participants' immune system responses to the BNT162b2 vaccine were as good as or stronger than the 16- to 25-year-old participants' immune responses. * The participants who received the BNT162b2 vaccine were less likely to get COVID-19 compared with the participants who got the placebo.Copyright © 2023 The Authors.

6.
Journal of Cyber Security ; 7(6):31-47, 2022.
Article in Chinese | Scopus | ID: covidwho-2287646

ABSTRACT

Affected by the Corona Virus Disease 2019 (COVID-19), telecommuting, a new type of office, has developed rapidly in a short period of time and has been widely used in society, and the resulting security problems of telecommuting systems have become more and more urgent and prominent. At present, the research on the security of telecommuting systems is still in its infancy, and the research results are not enough to completely solve the security problems in the development of telecommuting systems. In order to systematically understand the current research progress researchers, this paper summarizes the security problems of telecommuting systems for the first time, and writes this review. This paper first reviews the development process of the telecommuting system, points out the unique security requirements and problems of the telecommuting system in different application scenarios, and then divides the telecommuting system into virtual private network (VPN), remote desktop control and teamwork platform, according to the technical architecture of the telecommuting system. Based on nearly 5 years of research on telecommuting papers published in the EI Database, Web of Science database and CCF recommended international conference on network and information security, as well as other related high-level research work, this paper systematically analyzes and summarizes the security problems existing in the above three types of telecommuting systems, especially focusing on the security problems of teamwork platforms, a new type of telecommuting. According to the architecture and function of the teamwork platform and the attack methods commonly used by attackers, the security risk of teamwork platforms are divided into five categories: third-party APP security, communication protocol security, client security, cloud server security, and side channel analysis. Finally, the challenges and opportunities faced by the telecommuting system security research institute are pointed out, and the direction for the future research of telecommuting system security is pointed out. © 2022 Chinese Academy of Sciences. All rights reserved.

7.
2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022 ; : 3772-3775, 2022.
Article in English | Scopus | ID: covidwho-2223069

ABSTRACT

During the regularized COVID-19 epidemic control, the regional TCM intelligent cloud system is extended to the isolated medical observation sites through 5G technology. Combined with the advantages of local Chinese medicine hospitals, TCM services such as TCM preparations and TCM remote diagnosis and treatment were provided to personnel at isolated medical observation sites. These services not only reduce the risk of COVID-19 infection, but also relieve the anxiety of those under isolation and medical observation. '5G + TCM services' gives full play to the important role of TCM in the prevention and control of epidemics and provides epidemic prevention and control solutions suitable for China. © 2022 IEEE.

8.
Infectious Diseases and Immunity ; 1(1):36-42, 2021.
Article in English | Scopus | ID: covidwho-2212959

ABSTRACT

Background:Pre-existing liver disease is a risk factor for the worse prognosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We aimed to evaluate whether chronic hepatitis B (CHB) and hepatocellular carcinoma (HCC) affect the expression of viral receptor angiotensin-converting enzyme 2 (ACE2) and transmembrane serine protease 2 (TMPRSS2) in the liver.Methods:Twelve pairs of matched liver tissues of HCC and para-carcinoma were collected from the First Affiliated Hospital of Zhejiang University School of Medicine. And 20 liver biopsies from CHB patients were collected from Peking University People's Hospital. The expression of ACE2 and TMRPSS2 were detected using immunofluorescence staining, western blot, and RT-qPCR. The effects of hepatitis B virus (HBV) replication or interferon on ACE2 and TMPRSS2 expression were tested in hepatic cell lines.Results:The mRNA expression of TMPRSS2 in HCC tissues was six-fold higher than that of para-carcinoma tissues (P = 0.002), whereas that of ACE2 was not statistically different between HCC and para-carcinoma tissues. Hepatocellular ACE2 expression was detected in 35% (7/20) of CHB patients and mostly distributed in the inflammatory areas. However, there was no difference in TMPRSS2 expression between areas with or without inflammation. IFN-α2b slightly induced ACE2 expression (2.4-fold, P = 0.033) in HepG2 cells but not in Huh-7, QSG-7701, and L-02 cells. IFN-α2b did not affect TMPRSS2 expression in these cell lines. In addition, HBV replication did not alter ACE2 expression in HepAD38 cells.Conclusions:Although HBV replication does not directly affect the expression of ACE2 and TMPRSS2, intrahepatic inflammation and carcinogenesis may increase their expression in some patients, which, in turn, may facilitate SARS-CoV-2 infection in hepatocytes. © 2021 The Chinese Medical Association, Published by Wolters Kluwer Health, Inc.

9.
5th International Conference on Information Management and Management Science, IMMS 2022 ; : 39-45, 2022.
Article in English | Scopus | ID: covidwho-2194116

ABSTRACT

Global public emergencies represented by COVID-19 have posed new requirements and challenges to the current governance systems and capacities of governments. Mining decision-level intelligence from massive, multi-source and heterogeneous big data is the basic environment of current emergency decision making. This paper is based on the case analysis of COVID-19 epidemic prevention and control and constructs the intelligent decision-making process framework of emergency intelligence from the basic support layer, information and data layer, fusion output layer, emergency decision-making layer and main user layer. A risk governance system of "government-led, enterprise participation, media coordination, social crowdsourcing"has been established with big data co-construction and sharing and joint epidemic prevention and control. Through intelligence collection, processing, analysis and output transmission of epidemic-related data and information in the big data environment, it provides services for the emergency prevention and control of major epidemics in both normal and abnormal situations. In the front-end control phase, the emergency intelligence perception of the source quality is ensured to support the emergency decision, and the wisdom level of emergency decision-making is improved by optimizing the use of terminal intelligence and failure prevention methods. This paper proposes to optimize the intelligent decision-making process of emergencies from the effective prevention strategy of intelligence perception failure and the effective intervention strategy of decision failure prevention. This article explores the big data in the application of global public emergency management and innovation, change and revelation, to expand the emergency decision-making from the perspective of intelligence applications, provides with wisdom for the government emergency decision. © 2022 ACM.

10.
Statistical Theory and Related Fields ; 2022.
Article in English | Web of Science | ID: covidwho-2187945

ABSTRACT

The outbreak of COVID-19 on the Diamond Princess cruise ship has attracted much attention. Motivated by the PCR testing data on the Diamond Princess, we propose a novel cure mixture nonparametric model to investigate the detection pattern. It combines a logistic regression for the probability of susceptible subjects with a nonparametric distribution for the detection of infected individuals. Maximum likelihood estimators are proposed. The resulting estimators are shown to be consistent and asymptotically normal. Simulation studies demonstrate that the proposed approach is appropriate for practical use. Finally, we apply the proposed method to PCR testing data on the Diamond Princess to show its practical utility.

11.
Zhonghua Yu Fang Yi Xue Za Zhi ; 56(12): 1789-1794, 2022 Dec 06.
Article in Chinese | MEDLINE | ID: covidwho-2201079

ABSTRACT

Objective: To investigate a SARS-CoV-2 epidemic reported in Rongcheng City, Weihai, Shandong Province. Methods: The SARS-CoV-2 nucleic acid positive patients and their close contacts were investigated, and the whole genome sequencing and genetic evolution analysis of 9 variant viruses were carried out. An infection source investigation and analysis were carried out from two sources of home and abroad, and three aspects of human, material and environment. Results: A total of 15 asymptomatic infections were reported in this epidemic, including 13 cases as employees of workshop of aquatic products processing company, with an infection rate of 21.67% (13/60). Two cases were infected people's neighbors in the same village (conjugal relation). The first six positive persons were processing workers engaged in the first process of removing squid viscera in the workshop of the company. The nucleic acid Ct value of the first time were concentrated between 15 and 29, suggesting that the virus load was high, which was suspected to be caused by one-time homologous exposure. The whole genome sequence of 9 SARS-CoV-2 strains was highly homologous, belonging to VOC/Gamma (Lineage P.1.15). No highly homologous sequences were found from previous native and imported cases in China. It was highly homologous with the six virus sequences sampled from May 5 to 26, 2021 uploaded by Chile. The infection source investigation showed that the company had used the squid raw materials captured in the ocean near Chile and Argentina from May to June 2021 over the last 14 days. Many samples of raw materials, products and their outer packages in the inventory were tested positive for nucleic acid. Conclusion: This epidemic is the first local epidemic caused by the VOC/Gamma of SARS-CoV-2 in China. It is speculated that the VOC/Gamma, which was prevalent in South America from May to June 2021, could be imported into China through frozen squid.


Subject(s)
COVID-19 , Epidemics , Humans , SARS-CoV-2 , China/epidemiology
12.
Zhonghua Yu Fang Yi Xue Za Zhi ; 56(12): 1795-1802, 2022 Dec 06.
Article in Chinese | MEDLINE | ID: covidwho-2201072

ABSTRACT

Objective: To trace and characterize the whole genome of SARS-CoV-2 of confirmed cases in the outbreak of COVID-19 on July 31, 2021 in Henan Province. Method: Genome-wide sequencing and comparative analysis were performed on positive nucleic acid samples of SARS-CoV-2 from 167 local cases related to the epidemic on July 31, 2021, to analyze the consistency and evolution of the whole genome sequence of virus. Results: Through high-throughput sequencing, a total of 106 cases of SARS-CoV-2 whole genome sequences were obtained. The results of genome analysis showed that the whole genome sequences of 106 cases belonged to the VOC/Delta variant strain (B.1.617.2 clade), and the whole genome sequences of 106 cases were shared with the genomes of 3 imported cases from Myanmar admitted to a hospital in Zhengzhou. On the basis of 45 nucleotide sites, 1-5 nucleotide variation sites were added, and the genome sequence was highly homologous. Conclusion: Combined with the comprehensive analysis of viral genomics, transmission path simulation experiments and epidemiology, it is determined that the local new epidemic in Henan Province is caused by imported cases in the nosocomial area, and the spillover has caused localized infection in the community. At the same time, it spills over to some provincial cities and results in localized clustered epidemics.


Subject(s)
COVID-19 , Epidemics , Humans , SARS-CoV-2/genetics , Genome, Viral , Phylogeny
14.
International Journal of Engineering Education ; 38(5):1495-1504, 2022.
Article in English | Web of Science | ID: covidwho-2101979

ABSTRACT

In 2020, the novel coronavirus 2019 (COVID-19) became a catalyst for the development of online teaching. However, online teaching has faced the problems of insufficient teaching flexibility and weakened teacher management, which has greatly affected teaching effectiveness in science and engineering. A task-based method has universality and applicability in teaching activities. This method, combined with the diversified auxiliary tools in online teaching of the task-based method, in undergraduate geophysical courses was adopted. Following online teaching in spring 2020, students have made great progress in terms of geophysics competition. In addition, the statistical results of the questionnaire showed that more than half of undergraduates endorsed task-based teaching. This study indicates that online task-based teaching in geophysical courses has already made initial progress in increasing the flexibility of teaching, improving students' self-learning awareness, and developing their exploration and design skills. Task-based online teaching can be widely promoted for earth science and other science and engineering majors.

15.
International Journal of Stroke ; 17(2 Supplement):8-9, 2022.
Article in English | EMBASE | ID: covidwho-2079342

ABSTRACT

Background: The COVID-19 pandemic has disrupted modern healthcare and delayed time to acute stroke treatment at some centres internationally. The effect of the pandemic on time metrics in patients with a large vessel occlusion (LVO) at Australian stroke centres is unknown. Aim(s): To evaluate time metrics for patients with an LVO transferred from a primary stroke centre (PSC) to a comprehensive stroke centre (CSC), during and before the coronavirus pandemic. Method(s): Retrospective analysis of consecutive patients with an LVO who were transferred from a single PSC to any of three CSCs were enrolled. The pandemic period was defined as the 24 months following the March 2020 state of emergency declaration in Melbourne, and prepandemic period the preceding 24 months. "Door-in" was the time triaged as a stroke, and "Door-out" was the time ambulance staff departed. Result(s): 159 patients were included, 82 in the pandemic group and 77 in the pre-pandemic group. There were no significant differences between groups in patient age, sex, modified Rankin scale score, or National Institute of Health Stroke Scale score. Door-in to Door-out (DIDO) times were reduced during the pandemic (median 52 vs 66 minutes, IQR 41-66 vs 52-95 minutes, p<0.001). There was no change in time from PSC Door-in to the first CSC DSA images (median 125 vs 125 minutes, p=0.79). Within the DIDO workflow, the only significantly different metric was time from CSC advising of patient acceptance to PSC door-out, which improved (median 8 vs 14 minutes, p=0.016). DIDO times out of hours when the stroke registrar was called in also improved (median 51 vs 87 minutes, p=0.003). Conclusion(s): The median DIDO times at our PSC improved during the pandemic. Further studies are required to determine if this is due to a continued quality improvement program at our centre, or due to other factors.

16.
Journal of Xi'an Jiaotong University (Medical Sciences) ; 43(5):641-645, 2022.
Article in Chinese | EMBASE | ID: covidwho-2010478

ABSTRACT

Objective: According to the need and practice of the National Medical Center Construction, this study structures the project communication management framework of the National Medical Center Construction based on Boyd/OODA loop and describes its background and practical path so as to explore its implementation efficiency. Methods: The theoretical framework was constructed and applied by means of lessons learned and case analysis. Results: The framework can meet various needs of project communication management of the National Medical Center Construction at different stages of epidemic prevention and control. Conclusion: The framework can improve the effectiveness, systematicness, coordination and efficiency of the National Medical Center Construction, and provide theoretical and empirical underpinning. Considerably more innovative and interdisciplinary research is needed in communication management.

17.
Social Responsibility Journal ; 2022.
Article in English | Scopus | ID: covidwho-1992561

ABSTRACT

Purpose: This study aims to examine the corporate donations in response to the intensive outbreak of the COVID-19 pandemic in China in 2020 and proposes that the local spread of COVID-19 is negatively associated with corporate donations due to the non-trivial costs, but meanwhile, strong institutional pressures based on institutional theory are put on firms to donate, which thus creates a dilemma for firms. This study further argues that the dilemma is heterogeneous across different institutional fields. Design/methodology/approach: Using a sample of Chinese listed companies during the intensive outbreak of this pandemic, a two-stage Heckman selection model is conducted to address the potential sample selection bias. Findings: This study reveals a negative relationship between the local spread of COVID-19 and corporate donations, confirms the driving effect of various types of institutional pressure and finds that the intensity of the COVID-19 pandemic strengthens the effect of coercive pressure and mimetic pressure on philanthropic giving but weakens the effect of normative pressure. Originality/value: This study extends the knowledge on firms’ philanthropic response to natural crises, as the COVID-19 pandemic has not only led to a public health crisis but also to a global economic crisis, and how the effects of institutional pressures are affected by a situational crisis. This work enriches the literature on corporate philanthropy and crisis management and has some implications for both policymakers and business practitioners. © 2022, Emerald Publishing Limited.

18.
Drug Evaluation Research ; 45(7):1426-1434, 2022.
Article in Chinese | Scopus | ID: covidwho-1964551

ABSTRACT

In order to comprehensively understand the research hotspots and development trends of Lonicera Japonica Flos in the past 20 years, and to provide intuitive data reference and objective opinions and suggestions for subsequent related research in this field, this study collected 8 871 Chinese literature and 311 English literature related to Lonicera Japonica Flos research in the core collection databases of Wanfang Data), CNKI and Web of Science (WOS) from 2002 to 2021, and conducted bibliometric and visual analysis using vosviewer. The results showed that the research on the active components of Lonicera Japonica Flos based on phenolic acid components, the research on the mechanism of novel coronavirus pneumonia based on data mining and molecular docking technology, and the pharmacological research on the anti-inflammatory and antiviral properties of Lonicera Japonica Flos are the three hot research directions in the may become the future research direction. In this paper, we analyze the research on Lonicera Japonica Flos from five aspects: active ingredients, research methods, formulation and preparation, pharmacological effects and clinical applications, aiming to reveal the research hotspots, frontiers and development trends in this field and provide predictions and references for future research. © Drug Evaluation Research 2022.

19.
Chinese Journal of Microbiology and Immunology (China) ; 42(4):245-250, 2022.
Article in Chinese | EMBASE | ID: covidwho-1928717

ABSTRACT

Objective To analyze the genome characteristics and variations in nucleotides and amino acids of SARS-CoV-2 causing an outbreak in Henan Province in November 2021 and perform the traceability analysis.Methods In this study, throat swab specimens from cases in the acute phase were collected and tested for the nucleic acids of SARS-CoV-2 by real-time fluorescent RT-PCR.SARS-CoV-2 nucleic acid-positive samples were subjected to high-throughput genome sequencing and whole-genome alignment analysis.Results The median Ct values of ORF1ab gene and N gene in 70 positive specimens was 26.41 (15.58 to 39.27) and 24.43 (12.04 to 39.74), respectively.Compared with the sequence of Wuhan-Hu(NC_045512) reference strain, 47 to 49 nucleotide mutations sharing 47 nucleotide mutation and 41 amino acid mutations were found in 63 strains of successfully sequenced SARS-CoV-2.Nine nucleotide mutations and 12 amino acid mutations were found in the spike protein.The index case shared 47 mutations with the Russian imported cases in Henan Province on October 14 and the local cases in Jiangxi Province in October.Moreover, their genomes were highly homologous and they all belonged to the Delta variant (AY.122 evolutionary branch).Conclusions Continuous monitoring of imported COVID-19 cases and prolonging the period of quarantine were needed to reduce the risk of local outbreak and epidemic caused by imported COVID-19 cases.Analysis of the genomic characteristics of SARS-CoV-2 and the variations in nucleotides and amino acids was conducive to trace the origin of COVID-19 outbreak quickly and provide reference for precise control.

20.
2021 Ethics and Explainability for Responsible Data Science Conference, EE-RDS 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1741176

ABSTRACT

Since 2019, COVID-19 has been a major problem for the world's population. COVID-19 is known for its fast transmission and strong infection. Therefore, how to reduce the burden of medical system is becoming a hot topic in current research. Previous researchers have used deep learning techniques to effectively classify COVID-19. Although the results are remarkable, the input method (X-ray images) is simple. Therefore, a new multi-modality fusion network is proposed in this paper. In this network, the spatial and structural feature information in the image were highlighted by means of thermal map. Experiments show the effectiveness of the proposed network. © 2021 IEEE.

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