Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 36
Filter
1.
Acta Veterinaria et Zootechnica Sinica ; 53(4):1310-1316, 2022.
Article in Chinese | EMBASE | ID: covidwho-1818722

ABSTRACT

Nebovirus (NeV) is an emerge diarrhea-causing virus in calves, the aim of this study is to establish an insulated isothermal RT-PCR(iiRT-PCR) for detecting NeV on field. Based on the RdRp sequences of NeV in GenBank database, a pair of primers and a fluorescent TaqMan probe were designed and synthesized. After optimizing the react system and condition, the iiRT-PCR method for detection of NeV was established. The iiRT-PCR assay could amplify specific fragment of NeV, without amplification of irrelevant pathogens, including bovine coronavirus, bovine norovirus, bovine rotavirus, bovine viral diarrhea virus, bovine torovirus, bovine Cryptosporidium parvum, bovine Eimeria. The intra- and inter-coefficients of variation were 3.07%-3.12% and 2.45%-3.01%, respectively, and the detection limit of viral nucleic acid of the assay was 5.38 copies•μL-1. One hundred and one calf diarrhea samples, collected from Hongyuan County, Ruoergai Prefecture, Xichang City, Liangshan Yi Autonomous Prefecture and Langzhong City in Sichuan Province during 2020-2021, were used to detect NeV, and 64.36% samples were detected as NeV positive. The study established an iiRT-PCR method for NeV detection with good specificity and reproducible as well as high sensitivity. Moreover, combined with the premixed detection reagent and PetNAD nucleic acid extraction kit, this assay could be used to NeV detect on-site, and only 1 hour from nucleic acid extraction to result report, which contribute to the fast detection for NeV.

2.
Ricyde-Revista Internacional De Ciencias Del Deporte ; 18(68):72-85, 2022.
Article in English | Web of Science | ID: covidwho-1811090

ABSTRACT

The outbreak of COVID-19 forced Chinese Football Association to adopt a special format for the 2020 Chinese Football Super League (CSL) after 5-month suspension. All 160 matches (decreased from 240) were divided into two stages (round robin;two-legged knockout) and played behind closed doors in two neutral cities (Suzhou and Dalian). The purpose of this study was to investigate the influence of absence of spectators and format change on teams' winning percentage and match performance. Technical-tactical and event data of all 400 matches during 2019 and 2020 seasons played by 18 teams were collected. A total of 26 performance indicators were extracted and standardized from the original data. The independent t-test results showed that there were statistically significant differences in 13 performance indicators between 2019 season home win and 2020 season win: shot, shot not on target, simple pass, pass, pass accurate, key pass, corner, corner accurate, dribble and take on (p<0.025, absolute ES: 0.28-0.74) for player performance as well as defensive fouls, defensive third foul and yellow cards for referee decision-making (p=0.001, absolute ES: 0.42-0.45). And there were statistically significant differences in 16 performance indicators between 2019 season home not win and 2020 season not win: shot, shot not on target, touch, simple pass, pass, pass accurate, key pass, corner, corner accurate, dribble, defensive duel, penalty shot and clearance for player performance (p<0.04, absolute ES: 0.21-0.93) as well as defensive third foul, defensive foul and yellow card for referee decision-making (p<0.015, absolute ES: 0.29-0.43). The findings implied that the change of match locations and absence of team supporters led to a decrease in teams' match performance and an increase in referees' decision. Although top-ranked teams seemed to be unaffected and the low-ranked teams showed an increase in winning percentage, the fairness of such tournament format needs to be reconsidered.

3.
J Med Virol ; 2022.
Article in English | PubMed | ID: covidwho-1802451

ABSTRACT

Influenza-like illness (ILI) varies in intensity year by year, generally keeping a stable pattern except for great changes of its epidemic issue. Of the most impacting factors, urbanization has been suggested as shaping the intensity of influenza epidemics. Besides, growing evidence indicates the non-pharmaceutical interventions (NPIs) to severe acute respiratory syndrome coronavirus 2 offer great advantages in controlling infectious diseases. The present study aimed to evaluate the impact of urbanization and NPIs on the dynamic of ILI in Tongzhou, Beijing, during January 2013 to March 2021. ILI epidemiological surveillance data in Tongzhou district were obtained from Beijing Influenza Surveillance Network and separated into three periods of urbanization and four intervals of coronavirus disease 2019 pandemic. Standardized average incidence rates of ILI in each separate stages were calculated and compared by using Wilson method and time series model of seasonal ARIMA. Influenza seasonal outbreaks showed similar epidemic size and intensity before urbanization during 2013-2016. Increased ILI activity was found during the process of Tongzhou's urbanization during 2017-2019, with the rate difference of 2.48 (95% CI 2.44, 2.52) and the rate ratio of 1.75 (95% CI 1.74, 1.76) of ILI incidence between pre-urbanization and urbanization periods. ILI activity abruptly decreased from the beginning of 2020 and kept at the bottom level almost in every epidemic interval. The top decrease in ILI activity by NPIs was shown in 5-14 years group in 2020-2021 influenza season, as 92.2% (95% CI 78.3%, 95.2%). The results indicated that both urbanization and NPIs interrupted the epidemic pattern of ILI. We should pay more attention to public health when facing increasing population density, human contact, population mobility and migration in the process of urbanization. NPIs and influenza vaccination should be implemented as necessary measures to protect people from common infectious diseases like ILI. This article is protected by copyright. All rights reserved.

4.
Curr Drug Targets ; 2022.
Article in English | PubMed | ID: covidwho-1793194

ABSTRACT

BACKGROUND: Coronavirus disease 2019 (COVID-19) is currently rampant all over the world, resulting in unpredictable harm to humans. High blood levels of cytokines and chemokines have been marked in patients with COVID-19 infection, leading to cytokine storm syndrome. Cytokine storm, a violent inflammatory immune response, reveals the devastating effect of immune dysregulation and the critical role of an effective host immune response. METHODS: Scientometric analysis summarizes the literature related to cytokine storm in recent decades and provides a valuable and timely approach to track the development of new trends. In this review, the pathogenesis and treatment of diseases associated with cytokine storm are summarized comprehensively on the basis of scientometric analysis. RESULTS: Field distribution, knowledge structure, and research topic evolution correlated with cytokine storm are revealed, and the occurrence, development, and treatment of disease relevant to cytokine storm are illustrated. CONCLUSION: Cytokine storm can be induced by pathogens and iatrogenic causes, and can also occur in the context of autoimmune diseases and monogenic diseases as well. These reveal the multidisciplinary nature of cytokine storm and remind the complexity of the pathophysiological features, clinical presentation and management. Overall, this scientometric study provides a macroscopic presentation and further direction for researchers who focus on cytokine storms.

5.
2nd International Seminar on Artificial Intelligence, Networking and Information Technology, AINIT 2021 ; : 117-121, 2021.
Article in English | Scopus | ID: covidwho-1788616

ABSTRACT

CT image diagnosis of COVID-19, an infectious disease that causes respiratory problems, proved efficient with CNN-based methods. The accuracy of these machine learning methods relies on the quality and dispersion of the training set, which has often been ensured by utilizing the preprocessing strategies. However, few studies investigated the impact of different preprocessing methods on accuracy rates in diagnosing COVID-19. As a result, a comparative study on different image preprocessing methods was done in this work. Two popular preprocessing methods contrast limited adaptive histogram equalization (CLAHE) and Discrete Cosine Transform (DCT), which were processed and compared in a CNN-based diagnosis framework. With a mixed and open-source dataset, the experimental results showed that DCT based preprocessing method had a higher accuracy on the test set, which was 92.71%. © 2021 IEEE.

6.
International Symposium on Educational Technology (ISET) ; : 96-100, 2021.
Article in English | Web of Science | ID: covidwho-1699098

ABSTRACT

In the beginning of 2020, COVID-19 pandemic emerged in many regions of China, and the spring semester of primary and middle schools was postponed At the call of "Suspension of Classes but not Learning" by MOE, all educational institutes adopted the online learning methods. However, the home-based online learning lacks teacher supervision, peer support, classroom environment constraints. These intensify students' attention difficulty when compared with face-to-face learning in the classroom, which makes students' learning engagement more important to ensure the learning effect. According to online focus group interviews with the education experts and K-12 teachers respectively, the researchers found out some possible influencing factors to K-12 students' online learning engagement: perceived teacher involvement, perceived parental involvement, students' self-discipline, and student emotion. Therefore, this study proposes a prediction model from the above four aspects. By using multivariate linear regression analysis and variance analysis, this study finds: (1) Perceived teacher involvement, perceived parent support, student selfdiscipline and student emotion all have significant positive effects on online learning engagement. (2) There are significant differences in students' online learning engagement for different learning stages and different network environments at home Students' online learning engagement has no significant difference between urban and rural areas.

7.
Embase;
Preprint in English | EMBASE | ID: ppcovidwho-326985

ABSTRACT

The massive and rapid transmission of SARS-CoV-2 has led to the emergence of several viral variants of concern (VOCs), with the most recent one, B.1.1.529 (Omicron), which accumulated a large number of spike mutations, raising the specter that this newly identified variant may escape from the currently available vaccines and therapeutic antibodies. Using VSV-based pseudovirus, we found that Omicron variant is markedly resistant to neutralization of sera form convalescents or individuals vaccinated by two doses of inactivated whole-virion vaccines (BBIBP-CorV). However, a homologous inactivated vaccine booster or a heterologous booster with protein subunit vaccine (ZF2001) significantly increased neutralization titers to both WT and Omicron variant. Moreover, at day 14 post the third dose, neutralizing antibody titer reduction for Omicron was less than that for convalescents or individuals who had only two doses of the vaccine, indicating that a homologous or heterologous booster can reduce the Omicron escape from neutralizing. In addition, we tested a panel of 17 SARS-CoV-2 monoclonal antibodies (mAbs). Omicron resists 7 of 8 authorized/approved mAbs, as well as most of the other mAbs targeting distinct epitopes on RBD and NTD. Taken together, our results suggest the urgency to push forward the booster vaccination to combat the emerging SARS-CoV-2 variants.

9.
American Journal of Obstetrics and Gynecology ; 226(1):S306-S306, 2022.
Article in English | Web of Science | ID: covidwho-1624373
10.
American Journal of Obstetrics and Gynecology ; 226(1):S658-S658, 2022.
Article in English | Web of Science | ID: covidwho-1624372
11.
American Journal of Obstetrics and Gynecology ; 226(1):S306-S307, 2022.
Article in English | Web of Science | ID: covidwho-1624371
12.
China & World Economy ; 29(6):53-72, 2021.
Article in English | Web of Science | ID: covidwho-1537807

ABSTRACT

This paper offers the first empirical evidence of the impact of COVID-19 on dietary diversity among children and adolescents in urban and rural families by using panel data collected in 2019 (before COVID-19) and 2020 (during COVID-19) in northern China. Our study uses panel data from 2,201 primary school students and 1,341 junior high-school students to apply the difference in differences (DID) method to estimate the impact of COVID-19 on dietary diversity among students in urban and rural families. We found that the dietary diversity score (DDS) of rural students decreased by 0.295 points (p < 0.01) compared with that of urban students during COVID-19. Specifically, COVID-19 significantly reduced the frequency of rural students' consumption of vegetables by 1.8 percent, protein-rich foods such as soybean products and nuts by 6.0 percent, meats by 4.0 percent, aquatic products by 6.7 percent, and eggs by 5.3 percent, compared with urban students. Further, COVID-19 had a significant negative effect on the dietary diversity of students from low- and middle-income groups, with the DDS of the low-income group decreasing by 0.31 points (p < 0.01) and that of the middle-income group by 0.12 points (p < 0.1).

13.
30th ACM International Conference on Information and Knowledge Management, CIKM 2021 ; : 292-301, 2021.
Article in English | Scopus | ID: covidwho-1528574

ABSTRACT

The ongoing COVID-19 pandemic has dramatically changed people's daily lives. A robust forecasting model for COVID-19 infections is essential for governments and institutions to plan timely and perform accurate interventions. Mainstream solutions for COVID-19 prediction fit reported data only by considering observed cases. However, the neglected facts that positive samples are incomplete and many facts of the novel disease are unknown may be prone to cause severe error accumulation, especially in long-term predictions. To fully understand the spreading patterns of the virus, we propose an encoder-decoder framework: (i) in the encoder we embed historical case data into multiple expose-infection ranges and learn message passing between time slices and across ranges with coarse-grained human mobility data incorporated;(ii) in the decoder, we decode the embedded features based on reported cases as well as deaths to jointly consider the effect of both observed and hidden data. We model the spreading of disease in over 60 counties of California and New York, which are two of the most metropolitan areas in the US. The proposed framework significantly outperforms state-of-the-art baselines on JHU COVID-19 dataset on both weekly prediction and daily prediction tasks. We design detailed ablation studies to verify the effectiveness of each key module and find the model not only works with the assistance of mobility data but also with purely cases and deaths, which implies its broad application scenarios. © 2021 ACM.

14.
Chinese Journal of Applied Clinical Pediatrics ; 36(18):1368-1372, 2021.
Article in Chinese | Scopus | ID: covidwho-1481061

ABSTRACT

Severe acute respiratory syndrome coronavirus-2(SARS-CoV-2)infection is still worldwide.As a vulnerable group, severe and dead pediatric cases are also reported.Under this severe epidemic situation, children should be well protected.With the widespread vaccination of SARS-CoV-2 vaccine in adults, the infection rate have decreased.Therefore, SARS-CoV-2 vaccine inoculation for children groups step by step is of great significance to the protection of children and the prevention and control of corona virus disease 2019(COVID-19) as a whole.But the safety of children vaccinated with SARS-CoV-2 vaccine is a main concern of parents.Therefore, in order to ensure the safety of vaccination and the implementation of vaccination work, National Clinical Research Center for Respiratory Diseases, National Center for Children's Health and the Society of Pediatrics, Chinese Medical Association organized experts to interpret the main issue of parents about SARS-CoV-2 vaccine for children, in order to answer the doubts of parents. Copyright © 2021 by the Chinese Medical Association.

15.
Chinese Journal of Applied Clinical Pediatrics ; 36(18):1361-1367, 2021.
Article in Chinese | Scopus | ID: covidwho-1481060

ABSTRACT

At present, severe acute respiratory syndrome coronavirus-2(SARS-CoV-2)infection is still rampant worldwide.As of September 10, 2021, there were about 222 million confirmed cases of corona virus disease 2019(COVID-19)and more than 4.6 million deaths worldwide.With the development of COVID-19 vaccines and the gradual vaccination worldwide, the increasing number of cases in children and unvaccinated young people has drawn attention.According to World Health Organization surveillance data, the proportion of COVID-19 infection cases in children gradually increased, and the proportion of cases in the age groups of under 5 years and 5-14 years increased from 1.0% and 2.5% in January 2020 to 2.0% and 8.7% in July 2021, respectively.At present, billions of adults have been vaccinated with various COVID-19 vaccines worldwide, and their protective effects including reducing infection and transmission, reducing severe disease and hospitalization, and reducing death, as well as high safety have been confirmed.Canada, the United States, Europe and other countries have approved the emergency COVID-19 vaccination in children and adolescents aged 12 to 17 years, and China has also approved the phased vaccination of COVID-19 vaccination in children and adolescents aged 3 to 17 years. For smooth advancement and implementation of COVID-19 vaccination in children, academic institutions, including National Clinical Research Center for Respiratory Diseases, National Center for Children's Health, and The Society of Pediatrics, Chinese Medical Association organized relevant experts to reach this consensus on COVID-19 vaccination in children. Copyright © 2021 by the Chinese Medical Association.

16.
2021 International Symposium on Educational Technology, ISET 2021 ; : 122-126, 2021.
Article in English | Scopus | ID: covidwho-1470350

ABSTRACT

In recent years, online teaching has become a hot topic in K-12 education reform. Based on the expectation confirmation model of information systems continuance (ECM-IS), four individual characteristic factors of self-efficacy, innovation, perceived risk and information literacy as well as two external environmental factors of subjective norms and facilitating conditions were introduced to build a theoretical model of factors affecting teachers' continuance intention of online teaching from the perspective of technology-individual-environment. This study tested model encompassing nine variables through empirical research. Data were collected on a sample of 59156 K-12 teachers who have had an online teaching experience during COVID-19 using an online questionnaire. Data were modelled using the partial least squares-structural equation model (PLS-SEM) to test the hypotheses. Results indicated that perceived usefulness and satisfaction in the ECM-IS model have significant effect on teachers' continuance intention while self-efficacy, information literacy, innovation and subjective norms were found to significantly affect teachers' continuance intention. However, perceived risk and facilitating conditions have no effect on continuance intention. According to the results, there are some suggestions for better online teaching effects: improving hardware facilities and software resources, innovating teacher training and research methods, and optimizing online teaching service supply. © 2021 IEEE.

17.
2021 International Symposium on Educational Technology, ISET 2021 ; : 96-100, 2021.
Article in English | Scopus | ID: covidwho-1470345

ABSTRACT

In the beginning of2020, COVID-19 pandemic emerged in many regions of China, and the spring semester of primary and middle schools was postponed. At the call of Suspension of Classes but not Learning by MOE, all educational institutes adopted the online learning methods. However, the home-based online learning lacks teacher supervision, peer support, classroom environment constraints. These intensify students' attention difficulty when compared -with face-to-face learning in the classroom, which makes students' learning engagement more important to ensure the learning effect. According to online focus group interviews with the education experts and K-12 teachers respectively, the researchers found out some possible influencing factors to K-12 students' online learning engagement: perceived teacher involvement, perceived parental involvement, students' self-discipline, and student emotion. Therefore, this study proposes a prediction model from the above four aspects. By using multivariate linear regression analysis and variance analysis, this study finds: (1) Perceived teacher involvement, perceived parent support, student self-discipline and student emotion all have significant positive effects on online learning engagement. (2) There are significant differences in students' online learning engagement for different learning stages and different network environments at home Students' online learning engagement has no significant difference between urban and rural areas. © 2021 IEEE.

18.
International Journal of Information and Education Technology ; 11(11):532-537, 2021.
Article in English | Scopus | ID: covidwho-1464129

ABSTRACT

Self-efficacy for self-regulated learning (SESRL) is a protective factor for academic performance. However, there are few studies have explored its impact on online learning during the Covid-19. This study investigated (a) the mediating roles of perceived usefulness (PU) and perceived ease of use (PEOU) in the relationship between SESRL and use intention (UI) and (b) the moderating role of gender in the indirect relationship between SESRL and UI. Four hundred Chinese college students entered this study and completed the measurements of SESRL, PEOU, PU and UI. The results showed that SESRL, PEOU, PU and UI were positively correlated with each other. Mediating analysis showed that PEOU and PU mediated the relationship between SESRL and UI. By comparison, the single mediating effect of PEOU was stronger than the single mediating effect of PU and the multiple mediation of them together, which showed the robust effect of PEOU. Moderation analysis showed that the effects of SESRL on PU and PEOU in females were stronger than in males. A high level of SESRL is more conducive to improving the PU and PEOU of female students, which further influenced their intention to use online learning. © 2021 by the authors.

19.
Processes ; 9(9), 2021.
Article in English | Scopus | ID: covidwho-1417180

ABSTRACT

Passengers carrying the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in a commercial aircraft cabin may infect other passengers and the cabin crew. In this study, a cabin model of the seven-row Airbus A320 aircraft is constructed and meshed for simulating the SARS-CoV-2 spread in the cabin with a virus carrier using the Computational Fluid Dynamics (CFD) modeling tool. The passengers’ infection risk is also quantified with the susceptible exposure index (SEI) method. The results show that the virus spreads to the ceiling of the cabin within 50 s of the virus carrier’s normal breathing. Coughing makes the virus spread to the front three rows with a higher mass fraction. While the high mass fraction areas always stay on the same side of the aisle as the virus carrier, the adjacent passengers and the passengers in the back two rows are affected more than the others when the virus carrier breathes normally. Spread patterns under the carrier’s two breath conditions, normal breath and cough, were numerically simulated. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

20.
Chinese General Practice ; 24(25):3184-3189, 2021.
Article in Chinese | Scopus | ID: covidwho-1395303

ABSTRACT

Background: Since the outbreak of COVID-19, the ability to manage public health emergencies in mega-cities has been put on the policy agenda, and the role of primary care in public health system is critical. Objective: To explore the status, problems and challenges of practical exploration of Shanghai's primary care in responding to COVID-19, providing policy recommendations and decision-making basis for improving the public health emergency system. Methods: From June to September 2020, a qualitative study was conducted using group interviews with administrators and healthcare professionals selected from 10 representative community health centers(CHCs) in suburban, fringe and urban areas in Shanghai's 5 districts for exploring major tasks shouldered by the CHCs, organizational structure of the CHCs, actual tasks performed by the CHCs, internal collaboration, major problems in service delivery during the pandemic, and recommendations, and with directors, as well as professionals responsible for information, healthcare management and quality control, public emergency management and infectious disease containment selected from health commissions and centers for disease control and prevention in the districts, for exploring the functions and roles of CHCs during the pandemic and their weaknesses in anti-pandemic actions, anti-pandemic supports from health commissions and centers for disease control and prevention for CHCs, and ideas about actions of primary care in pandemic and non-pandemic periods. The interviews with individuals from three kinds of affiliations were guided using different types of semi-structured outlines developed by our research team. Results: The interviews revealed that during the pandemic, the CHCs gave emergency responses to COVID-19, participated in regional collaboration for COVID-19 containment, delivered in-hospital COVID-19 screening and triage services while providing routine medical services, and continued to offer family doctor services. Four issues were found to be addressed: insufficient healthcare resources and workers, insufficient services targeting psychological influence of COVID-19, unsatisfied internal coordination and multi-departmental management, and lack of appropriate mechanisms incentivizing healthcare workers and invigorating primary care. Conclusion: In view of the challenges in fighting COVID-19 faced by primary care, it is recommended to take actions on the basis of appropriately balancing the delivery of routine primary care services and public health services, and tasks during pandemic and non-pandemic periods, and appropriately coordinating with higher level departments, as well as developing incentive programs according to the local conditions as a supplement for the government programs. Copyright © 2021 by the Chinese General Practice.

SELECTION OF CITATIONS
SEARCH DETAIL