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1.
ACS Environmental Au ; 1(1):71-84, 2021.
Article in English | Scopus | ID: covidwho-1878488

ABSTRACT

Outbreaks from choir performances, such as the Skagit Valley Choir, showed that singing brings potential risk of COVID-19 infection. There is less known about the risks of airborne infection from other musical performances, such as playing wind instruments or performing theater. In addition, it is important to understand methods that can be used to reduce infection risk. In this study, we used a variety of methods, including flow visualization, aerosol and CO2measurements, and computational fluid dynamics (CFD) modeling to understand the different components that can lead to transmission risk from musical performance and risk mitigation. This study was possible because of a partnership across academic departments and institutions and collaboration with the National Federation of State High School Associations and the College Band Directors National Association. The interdisciplinary team enabled us to understand the various aspects of aerosol transmission risk from musical performance and to quickly implement strategies in music classrooms during the COVID-19 pandemic. We found that plumes from musical performance were highly directional, unsteady and varied considerably in time and space. Aerosol number concentration measured at the bell of the clarinet was comparable to that of singing. Face and bell masks attenuated plume velocities and lengths and decreased aerosol concentrations measured in front of the masks. CFD modeling showed differences between indoor and outdoor environments and that the lowest risk of airborne COVID-19 infection occurred at less than 30 min of exposure indoors and less than 60 min outdoors. © 2021 The Authors. Published by American Chemical Society.

2.
13th IEEE Global Engineering Education Conference, EDUCON 2022 ; 2022-March:1822-1823, 2022.
Article in English | Scopus | ID: covidwho-1874240

ABSTRACT

This small qualitative study evaluates UCL Engineering students' experiences and perceptions of online PBL during the 2020-21 academic year. Study findings suggest that although the transition to online learning was not smooth, most students ultimately became agile online PBL learners. The study suggests that PBL in the post-COVID-19 era is likely to be blended, with some aspects best delivered in-person and some aspects best delivered online. © 2022 IEEE.

3.
The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLIII-B4-2022:111-116, 2022.
Article in English | ProQuest Central | ID: covidwho-1870915

ABSTRACT

The COVID-19 was first declared by World Health Organization (WHO) as global pandemic on March 11th 2020. While most of COVID-related studies have focused on epidemiological perspective, the spatial analysis of disease outbreak is also important to provide perceptions of transmission rates. Therefore, this paper attempts to identify the potential factors contributing to the COVID-19 incidence rate at provincial-level in Canada. Three statistical regression models, ordinary least squares (OLS), spatial error model, and spatial lag model (SLM) were applied to 14 independent variables including socio-demographic, economic, weather, health and facilities related factors. The results indicated that three factors including median income, diabetes and unemployment significantly affected the COVID-19 rates in Canada. Among three global models, the SLM performed the best to explain the key variables and spatial variability of disease incidence with a R2 value of 61%. However, in this study, the application of local regression models such as geographically weighted regression (GWR) and multiscale GWR (MGWR) have not been considered and this could be a scope for the future research.

4.
2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; : 8376-8379, 2021.
Article in English | Scopus | ID: covidwho-1861114

ABSTRACT

Timely and effective quantitative measurement of enterprises' offline resumption of work after public emergencies is conducive to the formulation and implementation of relevant policies. In this paper, we analyze the level of work resumption after the coronavirus disease 2019 (COVID-19)-influenced Chinese Spring Festival in 2020 with National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) Day/Night Band (DNB) daily data. The results demonstrate that COVID-19 has seriously affected the resumption of work after the Spring Festival holiday. Since February 10th, work has been resuming in localities. By late March, the work resumption indexes of most cities exceeded 50%, and Shanghai and Nanjing even had achieved complete resumption of work. Our method effectively estimates the resumption of work, which provides a scientific basis for local governments to formulate subsequent resumption policies. © 2021 IEEE

5.
Hematology, Transfusion and Cell Therapy ; 43:S255, 2021.
Article in English | EMBASE | ID: covidwho-1859623

ABSTRACT

Objectives: Cilta-cel is a CAR-T cell therapy that expresses 2 BCMA-targeting single-domain antibodies, designed to confer avidity. In the multicohort, phase 2 CARTITUDE-2 study (NCT04133636), the safety and efficacy of cilta-cel in various clinical settings and suitability of outpatient administration was explored in patients with multiple myeloma. Material and methods: Patients enrolled in Cohort A had progressive MM after 1–3 prior lines of therapy (LOT), including a proteasome inhibitor (PI) and immunomodulatory drug (IMiD), were lenalidomide refractory, and were naïve to BCMA-targeting agents. A single cilta-cel infusion (target dose: 0.75 × 106 CAR+ viable T cells/kg) was given 5–7 days after start of lymphodepletion (daily cyclophosphamide [300 mg/m2] and fludarabine [30 mg/m2] for 3 days). The primary outcome was minimal residual disease (MRD) 10-5 negativity. Secondary outcomes were response rates (per IMWG criteria) and safety (per CTCAE;CRS and ICANS by ASTCT). Results: As of the February 2021 data cutoff (median follow-up: 5.8 months [2.5–9.8]), 20 patients (65% male;median age 60 years [38–75]) received cilta-cel;1 patient was treated in an outpatient setting. Patients (n = 12: <3 prior LOT;n = 8: 3 prior LOT) received a median of 2 (1–3) prior LOT. All patients were exposed to PI, IMiD, and dexamethasone, 95% to alkylating agents, and 65% to daratumumab. The majority (95%) were refractory to the last LOT;40% were triple-class refractory. Overall response rate was 95% (95% CI: 75–100), 75% (95% CI: 51–91) achieved stringent CR/CR, and 85% (95% CI: 62–97) achieved ≥VGPR. Median time to first response was 1.0 month (0.7–3.3);median time to best response was 1.9 month (0.9–5.1). Median duration of response was not reached. All patients (n = 4) with MRD-evaluable samples at 10-5 at data cutoff were MRD-negative. Hematologic AEs ≥20% were neutropenia (95%;grade 3/4: 90%), thrombocytopenia (80%;grade 3/4: 35%), anemia (65%;grade 3/4: 40%), lymphopenia (60%;grade 3/4: 55%), and leukopenia (55%;all grade 3/4). 85% of patients had CRS;10% were grade 3/4. Median time to CRS onset was 7 days (5–9), with a median duration of 3.5 days (2–11). CAR-T cell neurotoxicity occurred in 20% of patients (all grade 1/2). Three patients had ICANS (n = 1: grade 1;n = 2: grade 2);median time to onset was 8 days (7–11) and median duration was 2 days (1–2). One patient had grade 2 facial paralysis;time to onset was 29 days with a duration of 51 days. One death occurred due to Covid-19 (assessed as treatment-related by investigator). The safety profile was manageable in the patient who was treated in an outpatient setting. Discussion: Updated efficacy and safety findings will inform suitability of outpatient treatment in this and other cohorts of CARTITUDE-2 as well as the CARTITUDE-4 study. Conclusion: A single cilta-cel infusion at the recommended phase 2 dose led to early and deep responses with a manageable safety profile in patients with MM who had 1–3 prior LOT.

6.
Journal of Futures Markets ; 2022.
Article in English | Scopus | ID: covidwho-1858796

ABSTRACT

This paper proposes a novel analytical pricing–hedging framework for volatility derivatives which simultaneously takes into account rough volatility and volatility jumps. Directly targeting the instantaneous variance of a risky asset, our model consists of a generalized fractional Ornstein–Uhlenbeck process driven by a Lévy subordinator and an independent sinusoidal-composite Lévy process, and allows the characteristic function of average forward variance to be obtainable in semiclosed form, without having to invoke any geometric-mean approximations. Pricing–hedging formulae are proposed for a general class of power-type derivatives, in the spirit of numerical Fourier transform. A comparative empirical study is conducted on two independent recent data sets on Volatility Index options, before and during the COVID-19 pandemic, to demonstrate that the proposed framework is highly amenable to efficient model calibration under various choices of kernels. The price dynamics of the underlying asset can be readily considered and the possibility of studying rough volatility of volatility is given as well. © 2022 Wiley Periodicals LLC.

7.
35th AAAI Conference on Artificial Intelligence, AAAI 2021 ; 17B:15424-15430, 2021.
Article in English | Scopus | ID: covidwho-1857854

ABSTRACT

An accurate and efficient forecasting system is imperative to the prevention of emerging infectious diseases such as COVID-19 in public health. This system requires accurate transient modeling, lower computation cost, and fewer observation data. To tackle these three challenges, we propose a novel deep learning approach using black-box knowledge distillation for both accurate and efficient transmission dynamics prediction in a practical manner. First, we leverage mixture models to develop an accurate, comprehensive, yet impractical simulation system. Next, we use simulated observation sequences to query the simulation system to retrieve simulated projection sequences as knowledge. Then, with the obtained query data, sequence mixup is proposed to improve query efficiency, increase knowledge diversity, and boost distillation model accuracy. Finally, we train a student deep neural network with the retrieved and mixed observation-projection sequences for practical use. The case study on COVID-19 justifies that our approach accurately projects infections with much lower computation cost when observation data are limited. Copyright © 2021, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved

9.
Engineering Construction and Architectural Management ; : 23, 2022.
Article in English | Web of Science | ID: covidwho-1853331

ABSTRACT

Purpose This study aims to investigate the basic public service level in the Beijing-Tianjin-Hebei region under the impact of COVID-19. Design/methodology/approach This study constructed a basic public service-level evaluation system from the five dimensions of education, culture, health, social security and infrastructure and environment, and measures the basic public service level in 13 cities in Beijing, Tianjin and Hebei using the entropy method. The spatial pattern and dynamic evolution of the public service level are analysed from the perspective of dynamic trends in time series and spatial distribution, along with the reasons for the evolution of spatial distribution. Findings (1) The basic public service level in the 13 cities is generally on the rise, but the trend is unstable. (2) The basic public service level in space shows a general trend of attenuation from northeast to southwest, with significant spatial imbalance and orientation. (3) The regional differences first increase and then decrease. (4) The inter-group mobility of different basic public service levels is low, and cities with lower initial levels find it difficult to achieve leapfrog development. Moreover, the health service level of the region is still at a low stage, which is not conducive to effectively preventing and controlling the epidemic. Originality/value From the perspective of this research, the spatial pattern and dynamic evolution of basic public service were adopted to analyse the coordinated development of the Beijing-Tianjin-Hebei region. Furthermore, this study discusses how to improve the basic public service level to ensure sustainable operation in the region under the impact of COVID-19.

10.
Emerging Markets Finance and Trade ; : 13, 2022.
Article in English | Web of Science | ID: covidwho-1852673

ABSTRACT

Income inequality is rising due to the risks and uncertainties related to the COVID-19 pandemic and other risks. This paper examines the effects of country risks (measured by economic/financial and political risks) and geopolitical risks on the income inequality in the panel dataset of 19 emerging market economies from 1985 to 2020. It is observed that all risk measures are positively related to income inequality. This evidence is also valid when different empirical models and estimation procedures are considered. The results are also robust for including various controls, excluding the extreme observations in the dataset, and considering the countries at the different income levels and regions.

11.
Journal of the American College of Cardiology ; 79(9):2107-2107, 2022.
Article in English | Web of Science | ID: covidwho-1849486
12.
Journal of the American College of Cardiology ; 79(9):2097-2097, 2022.
Article in English | Web of Science | ID: covidwho-1849422
13.
Journal of the American College of Cardiology ; 79(9):2156-2156, 2022.
Article in English | Web of Science | ID: covidwho-1849409
14.
Journal of the American College of Cardiology ; 79(9):2158-2158, 2022.
Article in English | Web of Science | ID: covidwho-1848332
15.
Journal of the American College of Cardiology ; 79(9):2152-2152, 2022.
Article in English | Web of Science | ID: covidwho-1848258
16.
Journal of the American College of Cardiology ; 79(9):2067-2067, 2022.
Article in English | Web of Science | ID: covidwho-1848257
17.
Journal of the American College of Cardiology ; 79(9):2153-2153, 2022.
Article in English | Web of Science | ID: covidwho-1848256
18.
Environmental Chemistry ; 40(7):1945-1957, 2021.
Article in Chinese | Scopus | ID: covidwho-1847652

ABSTRACT

Since the outbreak of the new coronavirus pneumonia (COVID-19) in December 2019, it has caused millions of deaths in more than 200 countries all over the world, and the global economic development has been severely impacted. Concerning the new type of coronavirus (SARS-CoV-2) that caused the epidemic, scientific research has been actively carried out around the world as well as various prevention and control measures, which made important contribution to protect human health. However, as one of the countries that made outstanding achievements in the prevention and control of the epidemic, there were some regional epidemics of “object-to-human transmission” and then “human-to-human transmission ” occurred after June 2020, indicating the complexity of the spread of SARS-CoV-2. In addition, the development of COVID-19 in some contraries is going uncontrollable recently, and infection cases of the SARS-CoV-2 variant strain have appeared in many countries, which made the prevention and control of the epidemic more difficult. This article briefly reviewed the updated research works on SARS-CoV-2, including possible sources of virus and infection mechanisms, diagnosis and treatment approaches, transmission characteristics and environmental impact, etc. In particular, the environmental factors affecting the transmission of SARS-CoV-2 are summarized in order to enhance the understanding of environmental transmission of SARS-CoV-2. © 2021, Science Press. All rights reserved.

19.
Drugs and Clinic ; 37(3):622-626, 2022.
Article in Chinese | Scopus | ID: covidwho-1847650

ABSTRACT

Objective To analyze and summarize the use and rationality of blood-activating TCM injections in First Teaching Hospital of Tianjin University of Traditional Chinese Medicine from 2019 to 2020, so as to provide reference for rational drug use in clinic. Methods The hospital information system and Excel software were used to analyze the use of TCM injections for promoting blood circulation from January 2019 to December 2020. Results In 2020 the application of blood-activating Chinese medicine injections in our hospital decreased by 20.68% compared with 2019, but the proportion of total Chinese patent medicine was basically the same. Xueshuantong (freeze-dried) for injection is the blood activating traditional Chinese medicine injection with the highest sales amount and use frequency in 2019 and 2020. The average daily cost of blood-activating TCM injections in 2020 decreased as a whole, and the synchronization was more reasonable. Although the use of blood-activating TCM injections has been affected by COVID-19, medical policies have a greater impact on the application of traditional Chinese medicine injections. Conclusion Blood-activating traditional Chinese medicine injection is an important part of hospital medication, and its application is relatively reasonable, and continue to improve the level of rational drug use, so that it can play a greater role in clinical practice. © 2022 Tianjin Press of Chinese Herbal Medicines. All rights reserved.

20.
2022 zh Conference on Human Factors in Computing Systems, zh EA 2022 ; 2022.
Article in English | Scopus | ID: covidwho-1846576

ABSTRACT

As COVID-19 spreads across the globe and the number of deaths continues to rise, the heartbreaking experiences are being replaced by collective mourning. As German journalist and pacifist Kurt Tukholsky once said: "The death of one man is a tragedy, the death of millions is a statistic". When we look back at the help-seeking posts of those who were lost, those who died of unconfirmed COVID-19 testing reports;those who committed suicide out of despair;those whose life-saving medical equipment were being taken away and those who lost their lives due to overwork and infection from their patients... Many of them were not included in the official statistics, and they are likely to be forgotten over time. They were not being treated fairly when they were alive, and they were not being mentioned after they passed away. We spoke to one of those families. One daughter said: "After this pandemic, who will remember someone such as my mother-she had nowhere to go for medical treatment;she was rejected by the hospital, and she had to die at home?"This is one of the reasons why we built this online platform. We want to document as many people who have left us because of the pandemic as possible. Our website also includes the help-seeking information these people posted before they passed away. These are the evidences they have left in a particular moment in this pandemic. We hope to provide a space for family members to express their grief and for the public to mourn the dead. Behind every number is a life. "Unfinished Farewell"can be viewed at www.farewell.care and www.jiabaoli.org/covid19 © 2022 Owner/Author.

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