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1.
Health Communication ; : 1-11, 2022.
Article in English | MEDLINE | ID: covidwho-2160631

ABSTRACT

As information consumption plays a critical role in addressing vaccine hesitancy in the hybrid media environment, it becomes crucial to understand how individuals' use of a combination of channels and sources affects their vaccine hesitancy. Based on information repertoire approaches emphasizing the multiplicity of channels and sources, we investigated different patterns of information repertoire related to the COVID-19 pandemic and how these patterns affected vaccine hesitancy through different informational mechanisms. Our results based on a U.S. sample suggest that while a richer information repertoire related to increased confidence in vaccines through increased information verification, this richness also corresponded with deepened vaccine hesitancy through heightened cognitive elaboration and perceived information inconsistency. Our findings support the utility of repertoire approaches for better understanding health information acquisition in the complex media ecology.

2.
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.

3.
Stochastic Environmental Research and Risk Assessment ; 2022.
Article in English | Scopus | ID: covidwho-2158038

ABSTRACT

In hazy days, several local authorities always implemented the strict traffic-restriction measures to improve the air quality. However, owing to lack of data, the quantitative relationships between them are still not clear. Coincidentally, traffic restriction measures during the COVID-19 pandemic provided an experimental setup for revealing such relationships. Hence, the changes in air quality in response to traffic restrictions during COVID-19 in Spain and United States was explored in this study. In contrast to pre-lockdown, the private traffic volume as well as public traffic during the lockdown period decreased within a range of 60−90%. The NO2 concentration decreased by approximately 50%, while O3 concentration increased by approximately 40%. Additionally, changes in air quality in response to traffic reduction were explored to reveal the contribution of transportation to air pollution. As the traffic volume decreased linearly, NO2 concentration decreased exponentially, whereas O3 concentration increased exponentially. Air pollutants did not change evidently until the traffic volume was reduced by less than 40%. The recovery process of the traffic volume and air pollutants during the post-lockdown period was also explored. The traffic volume was confirmed to return to background levels within four months, but air pollutants were found to recover randomly. This study highlights the exponential impact of traffic volume on air quality changes, which is of great significance to air pollution control in terms of traffic restriction policy. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

4.
Journal of Medical Virology ; 15:15, 2022.
Article in English | MEDLINE | ID: covidwho-2157856

ABSTRACT

An outbreak of COVID-19 was reported in Yongchuan district of Chongqing, China in March 2022, while the source was unknown. We aimed to investigate the origin and transmission route of the virus in the outbreak. We conducted field investigations for all cases and collected their epidemiological and clinical data. We performed gene sequencing and phylogenetic analysis for the cases, and draw the epidemic curve and the case relationship chart to analyze interactions and possible transmission mode of the outbreak. A total of 11 cases of COVID-19, including 5 patients and 6 asymptomatic cases were laboratory-confirmed in the outbreak. The branch of the virus was Omicron BA.2 which was introduced into Yongchuan district by a traveler in early March. Patient F and asymptomatic case G had never contact with other positive infected individuals, but close contact with their pet dog that sniffed the discarded cigarette butts and stepped on the sputum of patient B. Laboratory test results showed that the dog hair and kennel were positive for SARS-CoV-2, and the ten isolates were highly homologous to an epidemic strain in a province of China. The investigation suggested that the contaminated dog by SARS-CoV-2 can act as a passive mechanical carrier of the virus and might transmit the virus to humans through close contact. Our findings suggest that during the COVID-19 pandemic, increasing hygiene measures and hand washing after close contact with pets is essential to minimize the risk of community spread of the virus. This article is protected by copyright. All rights reserved.

5.
2022 International Conference on Cloud Computing, Performance Computing, and Deep Learning, CCPCDL 2022 ; 12287, 2022.
Article in English | Scopus | ID: covidwho-2137319

ABSTRACT

In this paper, we aim to predict the cases of covid-19 pandemic according to linear regression model and random forest model. We decide to try to predict the virus using the daily high and low temperatures because it is one of the biggest factors that can affect the spread and death of the virus.we decide to use days_num, vaccine_days, and ma_temp_high as features.Cases and deaths as labels. We find that that the virus surely has some relationship with temperature. If the theory turns out to be true, in the future, adjusting control efforts based on temperature could greatly improve efficiency and save money. Reduce ineffective expenditures and improve the quality of prevention and control. © 2022 SPIE.

6.
2022 International Conference on Cloud Computing, Performance Computing, and Deep Learning, CCPCDL 2022 ; 12287, 2022.
Article in English | Scopus | ID: covidwho-2137315

ABSTRACT

The huge pressure of market demand and competitive environment makes supply chain finance the choice of most enterprises. The emergence of public health emergencies such as the COVID-19 epidemic has made it particularly urgent to improve the risk management capabilities of the pharmaceutical industry's supply chain in a transitional period. In-depth exploration of the key factors affecting the financial credit risk of pharmaceutical companies' supply chain, and the construction of a high-accuracy forecast model is of great significance to the stability of the macroeconomy. Combining the characteristics of the pharmaceutical manufacturing industry, this paper builds a financial credit risk assessment system for the pharmaceutical supply chain. On the basis of Factor Analysis and Random Forest variable screening, the AdaBoost algorithm is used to build the prediction model. By comparing basic machine learning models such as SVM model, decision tree, logistic regression, Bayesian classifier, BP neural network, and integrated learning models such as Random Forest, Bagging meta-estimator, GBM, and XGBoost, the study found that the AdaBoost model has higher accuracy. And through the data forecast in 2020, the superiority and effectiveness of the model for credit risk assessment in the pharmaceutical industry are further verified. According to the prediction results, this paper finds that the epidemic has no obvious negative impact on pharmaceutical manufacturing enterprises and proposes suggestions from the perspectives of the government and enterprises for reference. © 2022 SPIE.

7.
Artificial Neural Networks and Machine Learning - Icann 2022, Pt Iii ; 13531:531-543, 2022.
Article in English | Web of Science | ID: covidwho-2094414

ABSTRACT

Coronavirus 2019 has brought severe challenges to social stability and public health worldwide. One effective way of curbing the epidemic is to require people to wear masks in public places and monitor their mask-wearing states by suitable automatic detectors. However, existing models struggle to simultaneously achieve the requirements of both high precision and real-time performance. To solve this problem, we propose an improved lightweight face mask detector based on YOLOv5, which can achieve an excellent balance of precision and speed. Firstly, a novel backbone ShuffleCANet that combines ShuffleNetV2 network with Coordinate Attention mechanism is proposed as the backbone. Afterward, an efficient path aggression network BiFPN is applied as the feature fusion neck. Furthermore, the localization loss is replaced with alpha-CIoU in model training phase to obtain higher-quality anchors. Some valuable strategies such as data augmentation, adaptive image scaling, and anchor cluster operation are also utilized. Experimental results on AIZOO face mask dataset show the superiority of the proposed model. Compared with the original YOLOv5, the proposed model increases the inference speed by 28.3% while still improving the precision by 0.58%. It achieves the best mean average precision of 95.2% compared with other seven existing models, which is 4.4% higher than the baseline.

8.
Pharmacoepidemiology and Drug Safety ; 31:623-624, 2022.
Article in English | Web of Science | ID: covidwho-2083890
9.
Annals of Thoracic Surgery ; 114(2):598-598, 2022.
Article in English | Web of Science | ID: covidwho-2081690
10.
3rd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents, EEKE 2022 ; 3210:127-130, 2022.
Article in English | Scopus | ID: covidwho-2044870

ABSTRACT

To support the development of entity recognition tools, this study manually annotates 99 full-text articles about COVID-19. Each article is annotated by 6 annotators through two rounds. 18 types of entity are involved, including genes, diseases, chemicals, coronaviruses and so on. We also calculate the inter-annotator agreement (IAA) scores in term of multi-κ measure to ensure the quality of the annotations. In the end, 39, 118 entity mentions are manually annotated in total. © Copyright 2022 for this paper by its authors.

11.
Genetic Epidemiology ; 46(7):547-547, 2022.
Article in English | Web of Science | ID: covidwho-2030857
12.
Innovation in Aging ; 5:732-732, 2021.
Article in English | Web of Science | ID: covidwho-2011827
13.
Yaoxue Xuebao ; 57(7):1937-1945, 2022.
Article in Chinese | EMBASE | ID: covidwho-2006568

ABSTRACT

The COVID-19 outbreak has drawn attention to viral infectious diseases once again, and the development of antiviral drugs for both known and potentially emerging viruses is of great significance. In recent years, peptides and protein drugs are becoming a hot spot in the field of antiviral drug research and development. Phage display technology, as a powerful tool for screening peptides and protein drugs, has been increasingly concerned in the academic and industrial fields. The present review introduced the basic principle of phage display technology, summarized phage display libraries often used in antiviral drug discovery and their applications, discussed the challenges and future direction of antiviral drug research and development based on phage display technology.

14.
Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment ; 12035, 2022.
Article in English | Web of Science | ID: covidwho-1997217

ABSTRACT

Purpose: This study aims to analyze a social distance monitoring and contact tracing assistance tool for preventing the spread of COVID-19 in a busy indoor working hospital environment. Method: A camera-based tool was developed. The tool estimates physical distance between multiple individuals in real-time and also tracks individuals and records their contact time when in violation social distance requirements for retrospect review. Both stereo- and monocular-camera tools are implemented and their accuracy and efficiency are evaluated and compared. Video was captured by a ZED M camera which was set close to the ceiling of a lab space. Three people within the field of view of the camera completed various movements. The distance (binary, <6 feet or >6 feet) and contact time between each pair was recorded as ground truth and compared to the video software analysis. Additionally, the contact time between any two individuals was calculated and compared to ground truth. Results: The overall accuracy of social distance detection was 95.1% and 74.4%, with a false-negative rate (when the tool predicts individuals are far enough apart, when they are actually too close) of 7.2% and 23.5% for the stereo and monocular tools, respectively. Conclusions: A stereo-camera social distance monitoring and contact tracing assistance tool can accurately detect social distance among multiple people, and keep an accurate contact record for each individual. While a monocular camera tool provided some level of certainty, a stereo camera tool was shown to be superior.

15.
Information Resources Management Journal ; 35(3), 2022.
Article in English | Scopus | ID: covidwho-1975018

ABSTRACT

After the implementation, the online and offline teaching modes are compared and analyzed. In the special social environment, in order to ensure the normal teaching order, the university public sports online course is constructed. The construction research mainly includes the necessity of online physical education course, the design of teaching scheme, teaching objectives, teaching mode, extracurricular sports activities, assessment methods, the connection and comparison of online and offline courses, etc. The purpose is to build a set of practical online course systems of university public physical education, make up for the deficiency of offline course teaching, and realize the sharing of educational resources among students in different regions at the same time, in order to provide reference for the normal development of physical education in special environments such as an epidemic situation. Copyright © 2022, IGI Global.

16.
American Journal of Respiratory and Critical Care Medicine ; 205:1, 2022.
Article in English | English Web of Science | ID: covidwho-1880291
17.
World of Media ; 2022(1):5-23, 2022.
Article in English | Scopus | ID: covidwho-1876473

ABSTRACT

Just as the old problems of the world, such as poverty, climate change and nuclear weapon rivalry, are being exacerbated by the new virus of COVID-19, humanity has not chosen solidarity and cooperation. The human science of Communication Studies does not seem to be concerned, or equipped, to help with the existential crises, either. In this article I introduce as alternative Cultural Discourse Studies (CDS), an emerging culturalist paradigm of communication research, in terms of its conception, direction, operation as well as production. It is characterized by engagement with culturally diversified and competing discourses with a view to combating cultural hegemony on the one hand and enhancing cultural harmony on the other. To illustrate this culturally conscious and critical programme, a case study of Chinese defense policy discourse is presented. © 2022, Lomonosov Moscow State University, Faculty of Journalism. All rights reserved.

18.
Medical Journal of Peking Union Medical College Hospital ; 13(1):9-12, 2022.
Article in Chinese | Scopus | ID: covidwho-1876157

ABSTRACT

COVID-19 highlights the lack of interdisciplinary medical talents. The international history of medical education shows the urgent need of high-level interdisciplinary medical talents. Anchoring the goal to develop a global center of talents and highland of innovation, this article takes medical education of Zhejiang University as an example, focusing on and exploring the training mode of high-level interdisciplinary medical talents in the new era. It includes: Firstly, optimizing the training mode of eight-year program for medical doctors with non-medical bachelor degree followed with complete education for a medical doctorate that innovates the curriculum system of clinical medicine;secondly, creating the training system of postdoctor of clinical medicine and integrating medical resources that include high-quality talents and health care system, in order to build a high-quality teaching staff with a interdisciplinarity background and innovative bases. It not only strengthens the residents' competency and frontier creativity, but also ensures the sustainable development of interdisciplinary medical talents. The reform of training mode, curriculum system, teaching staff and clinical teaching bases all contribute to the goal of building a country with interdisciplinary talents that serve the frontier of science and technology in the world, the major needs of the country and people's health in the new era. © 2022, Peking Union Medical College Hospital. All rights reserved.

20.
10th International Conference of Educational Innovation through Technology, EITT 2021 ; : 63-68, 2021.
Article in English | Scopus | ID: covidwho-1769573

ABSTRACT

To examine the online teaching attitudes of university teachers and the influencing factors during the Covid-19 pandemic, this study conducted a large-scale survey (N=1090) on university teachers in 16 provinces in China. A series of Kruskal-Wallis nonparametric tests were performed to determine the impact of teacher demographic characteristics on their online teaching attitudes. The results revealed that most teachers had positive opinions of online instruction with several perceived benefits, but also recognized the challenges and disadvantages to teach online. The differences in age, educational background, professional titles and prior online teaching experience significantly affected teachers' attitudes towards online teaching. The study concluded with several implication for preparing university teachers for online instruction in the post-pandemic world. © 2021 IEEE.

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