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1.
Journal of Logistics, Informatics and Service Science ; 9(3):301-327, 2022.
Article in English | Scopus | ID: covidwho-2081530

ABSTRACT

This study verified the intention to use the Untact drug delivery application based on the extended technology acceptance model (TAM). To verify the study, the researcher conducted a survey of 349 Koreans who have experienced self-isolation in accordance with measures to prevent COVID-19 and infectious diseases. The collected data was analyzed using the structural equation model (SEM). This study clearly identified the intention of users to use the Untact drug delivery service in the current situation where research on Untact drug delivery applications is lacking. In addition, based on this, factors that promote and hinder users' intention to use when introducing IT-based Untact medical services were identified. Furthermore, it is significant in that it contributed to the development of the theory by expanding and applying the technology acceptance model according to the characteristics of the industry. Summarizing the study results, it was confirmed that the majority of survey participants intend to use the non-face-to-face drug delivery application if all conditions are met. In addition, among the five hypotheses established by the researcher, the perceived usefulness and perceived ease of use, the same as in previous studies, were found to have a positive (+) effect on the intention to use, but the remaining three variables were Contrary to the hypothesis, it was found that there was no significant effect on intention to use. Based on the results of the study, implications, limitations of the study, and future research directions were presented. It is hoped that this study will contribute to the non-face-to-face drug delivery service and further, to legalization and deregulation of the entire telemedicine industry in Korea. © 2022, Success Culture Press. All rights reserved.

2.
Journal of Korean Medical Science ; 37(21), 2022.
Article in English | Web of Science | ID: covidwho-2040888
3.
19th International Conference on Ubiquitous Robots, UR 2022 ; : 243-247, 2022.
Article in English | Scopus | ID: covidwho-2019017

ABSTRACT

With the COVID-19 outbreak, people with disabilities have faced difficulties in managing their health owing to restrictions on medical access and use. Therefore, this study aimed to develop an Internet of Things-based health information-sharing mobile app for the disabled and their caregivers and evaluate its usability in maintaining access to health care services. As a first step, 19 user needs were evaluated through the Daily Health app 1.0, developed for the disabled by the National Rehabilitation Center. Based on these needs, the study participants proceeded with mind maps and personas to derive the User Interface. Subsequently, the Daily Health 2.0 program was designed, and heuristic and usability evaluations were conducted by experts. The Daily Health app 2.0 beta version was developed by modifying the detailed functions and design of the app based on the results of experts' opinions. Finally, a usability evaluation was conducted for app users. The app developed in this study will contribute to the efficient health management of people with disabilities in non-face-to-face situations. When combined with robot technology, it is expected that more effective health management will be possible by replacing physical functions that are difficult for people with disabilities. © 2022 IEEE.

4.
Epidemiol Health ; : e2022061, 2022.
Article in English | PubMed | ID: covidwho-1975116

ABSTRACT

OBJECTIVES: To explore predictors of COVID-19 booster hesitancy among fully vaccinated young adults and parental factors on COVID-19 vaccine hesitancy for their children. METHODS: A cross-sectional study was conducted via an online survey from December 2 to 20, 2021. We enrolled participants aged 18-49 years and elapsed ≥2 weeks after completing a primary series of COVID-19 vaccination. We estimated odds ratios (ORs) with 95% confidence intervals (CIs) using multivariate logistic regressions to evaluate factors associated with booster/vaccine hesitancy. RESULTS: Among 2,993 participants, 48.8% indicated hesitancy (wait and see: 40.2%;definitely not: 8.7%). The booster hesitancy was more in females (OR 1.25, 95% CI 1.05-1.50), younger age group (1.44 [1.17-1.77] at 18-29 years vs. 40-49 years), lower education level (2.05 [1.10-3.82] in no high school vs. graduate degree), mRNA-1273 (2.01, 1.65-2.45 vs. BNT162b2), and those with serious adverse events following previous COVID-19 vaccination (2.03, 1.47-2.80). The main reasons for booster hesitancy were concerns about its safety (54.1%), followed by doubt about the efficacy (29.8%). Among 1,020 respondents who had children aged <18 years, 65.8% indicated COVID-19 vaccine hesitancy for their children;the hesitancy for children was higher at the younger age, and lower at lower education level, ChAdOx1 (vs. BNT162b2), and those with history of COVID-19 infection. CONCLUSION: Concerns on the efficacy and safety of COVID-19 vaccines were the major barrier to booster hesitancy. The initial COVID-19 vaccine type, younger age, women, lower education level, and adverse events following COVID-19 vaccine were the key predictors of booster hesitancy.

5.
Journal of People, Plants, and Environment ; 25(3):263-272, 2022.
Article in English | Scopus | ID: covidwho-1964615

ABSTRACT

Background and objective: The mental health and wellness of university students has been a pressing concern in recent years in the US and is becoming an even larger issue due to the COVID-19 Pandemic. Numerous studies have supported the idea that the natural environment can have a positive impact on mental health, but only a few studies focus on the role of university outdoor campus environments on student's mental health. The main purpose of this study is to investigate the correlations between university student mental health and their campus's outdoor environment. Methods: An online survey was designed and distributed to students at Michigan State University, USA. Students were asked questions about their overall mental well-being, as well as questions about their environmental perceptions, outdoor activity, views to nature through windows and safety concerns regarding their outdoor campus environment. Results: The major findings indicate a significant difference in mental health scores for windows in living quarters, where students with living quarter windows had better mental health scores (MHS) than students without living quarter windows. This study also found a marginally significant difference in MHS for students with classroom windows. Other results of this study include a significant difference in MHS for students' perception of safety on campus, outdoor work time, and perception of greenspace on campus. Conclusion: Future campus planner, landscape architects, university planners, and student counselors will use this study to determine what kinds of outdoor spaces should be created and used to improve the well-being of students. © 2022 by the Society for People, Plants, and Environment.

6.
Eur Rev Med Pharmacol Sci ; 26(10): 3760-3770, 2022 May.
Article in English | MEDLINE | ID: covidwho-1876425

ABSTRACT

OBJECTIVE: This meta-analysis aims to assess the susceptibility to and clinical outcomes of COVID-19 in autoimmune inflammatory rheumatic disease (AIRD) and following AIRD drug use. MATERIALS AND METHODS: We included observational and case-controlled studies assessing susceptibility and clinical outcomes of COVID-19 in patients with AIRD as well as the clinical outcomes of COVID-19 with or without use of steroids and conventional synthetic disease-modifying antirheumatic drugs (csDMARDs). RESULTS: Meta-analysis including three studies showed that patients with AIRD are not more susceptible to COVID-19 compared to patients without AIRD or the general population (OR: 1.11, 95% CI: 0.58 to 2.14). Incidence of severe outcomes of COVID-19 (OR: 1.34, 95% CI: 0.76 to 2.35) and COVID-19 related death (OR: 1.21, 95% CI: 0.68 to 2.16) also did not show significant difference. The clinical outcomes of COVID-19 among AIRD patients with and without csDMARD or steroid showed that both use of steroid (OR: 1.69, 95% CI: 0.96 to 2.98) or csDMARD (OR: 1.35, 95% CI: 0.63 to 3.08) had no effect on clinical outcomes of COVID-19. CONCLUSIONS: AIRD does not increase susceptibility to COVID-19, not affecting the clinical outcome of COVID-19. Similarly, the use of steroids or csDMARDs for AIRD does not worsen the clinical outcome.


Subject(s)
Antirheumatic Agents , Autoimmune Diseases , COVID-19 , Rheumatic Diseases , Antirheumatic Agents/therapeutic use , COVID-19/drug therapy , Humans , Incidence , Rheumatic Diseases/drug therapy , Rheumatic Diseases/epidemiology
7.
Eur Rev Med Pharmacol Sci ; 26(9): 3342-3350, 2022 05.
Article in English | MEDLINE | ID: covidwho-1856620

ABSTRACT

OBJECTIVE: Multisystem inflammatory syndrome in children (MIS-C) can occur in association with coronavirus disease 2019 (COVID-19). It is not easy to differentiate MIS-C from severe COVID-19 or Kawasaki disease based on symptoms. The aim of this study was to describe the clinical and laboratory characteristics of MIS-C. PATIENTS AND METHODS: We searched PubMed/Medline for case series and reports of MIS-C published until June 20, 2020. From a total of nine articles involving 45 cases, various clinical and laboratory data were extracted. Each target case was evaluated by using different diagnostic criteria. RESULTS: The average age at onset of MIS-C was 8.6 years. In 80% of cases, the age of patients ranged from 5 to 15 years. Fever (100%) and shock (82%) were the most common presenting symptoms. Sixty percent of cases met the diagnostic criteria for typical or atypical Kawasaki disease. Biomarkers indicative of inflammation, coagulopathy, or cardiac injury were characteristically elevated as follows: ferritin (mean: 1,061 ng/mL), CRP (217 mg/L), ESR (69 mm/hr), IL-6 (214.8 pg/mL), TNFα (63.4 pg/mL), D-dimer (3,220 ng/mL), PT (15.5 s), troponin I (1,006 ng/L), and BNP (12,150 pg/mL). Intravenous immunoglobulin was administered in all target cases, and inotropic agents were commonly used as well. No case of death was observed. CONCLUSIONS: This study demonstrated that MIS-C is a serious condition that presents with fever, rash, as well as cardiovascular and gastrointestinal symptoms. Although it is challenging to differentiate MIS-C from Kawasaki disease or severe COVID-19, initiation of appropriate treatments through early diagnosis is warranted.


Subject(s)
COVID-19 , Mucocutaneous Lymph Node Syndrome , Adolescent , COVID-19/complications , COVID-19/diagnosis , Child , Child, Preschool , Fever/diagnosis , Humans , Mucocutaneous Lymph Node Syndrome/diagnosis , Mucocutaneous Lymph Node Syndrome/drug therapy , SARS-CoV-2 , Systemic Inflammatory Response Syndrome/diagnosis
8.
Journal of Heart and Lung Transplantation ; 41(4):S231-S231, 2022.
Article in English | Web of Science | ID: covidwho-1848799
9.
PubMed; 2021.
Preprint in English | PubMed | ID: ppcovidwho-333869

ABSTRACT

IMPORTANCE: Little is known about COVID vaccine breakthrough infections and their risk factors. OBJECTIVE: To identify risk factors associated with COVID-19 breakthrough infections among vaccinated individuals and to reassess the effectiveness of COVID-19 vaccination against severe outcomes using real-world data. DESIGN SETTING AND PARTICIPANTS: We conducted a series of observational retrospective analyses using the electronic health records (EHRs) of Columbia University Irving Medical Center/New York Presbyterian (CUIMC/NYP) up to September 21, 2021. New York adult residence with PCR test records were included in this analysis. MAIN OUTCOMES AND MEASURES: Poisson regression was used to assess the association between breakthrough infection rate in vaccinated individuals and multiple risk factors - including vaccine brand, demographics, and underlying conditions - while adjusting for calendar month, prior number of visits and observational days. Logistic regression was used to assess the association between vaccine administration and infection rate by comparing a vaccinated cohort to a historically matched cohort in the pre-vaccinated period. Infection incident rate was also compared between vaccinated individuals and longitudinally matched unvaccinated individuals. Cox regression was used to estimate the association of the vaccine and COVID-19 associated severe outcomes by comparing breakthrough cohort and two matched unvaccinated infection cohorts. RESULTS: Individuals vaccinated with Pfizer/BNT162b2 (IRR against Moderna/mRNA-1273 [95% CI]: 1.66 [1.17 - 2.35]);were male (1.47 [1.11 - 1.94%]);and had compromised immune systems (1.48 [1.09 - 2.00]) were at the highest risk for breakthrough infections. Vaccinated individuals had a significant lower infection rate among all subgroups. An increased incidence rate was found in both vaccines over the time. Among individuals infected with COVID-19, vaccination significantly reduced the risk of death (adj. HR: 0.20 [0.08 - 0.49]). CONCLUSION AND RELEVANCE: While we found both mRNA vaccines were effective, Moderna/mRNA-1273 had a lower incidence rate of breakthrough infections. Both vaccines had increased incidence rates over the time. Immunocompromised individuals were among the highest risk groups experiencing breakthrough infections. Given the rapidly changing nature of the SARS-CoV-2, continued monitoring and a generalizable analysis pipeline are warranted to inform quick updates on vaccine effectiveness in real time. KEY POINTS: Question: What risk factors contribute to COVID-19 breakthrough infections among mRNA vaccinated individuals? How do clinical outcomes differ between vaccinated but still SARS-CoV-2 infected individuals and non-vaccinated, infected individuals?Findings: This retrospective study uses CUIMC/NYP EHR data up to September 21, 2021. Individuals who were vaccinated with Pfizer/BNT162b2, male, and had compromised immune systems had significantly higher incidence rate ratios of breakthrough infections. Comparing demographically matched pre-vaccinated and unvaccinated individuals, vaccinated individuals had a lower incidence rate of SARS-CoV-2 infection among all subgroups. Meaning: Leveraging real-world EHR data provides insight on who may optimally benefit from a booster COVID-19 vaccination.

10.
Probab. Eng. Inform. Sci. ; : 27, 2021.
Article in English | Web of Science | ID: covidwho-1795876

ABSTRACT

The double-mean-reverting model, introduced by Gatheral [(2008). Consistent modeling of SPX and VIX options. In The Fifth World Congress of the Bachelier Finance Society London, July 18], is known to be a successful three-factor model that can be calibrated to both CBOE Volatility Index (VIX) and S&P 500 Index (SPX) options. However, the calibration of this model may be slow because there is no closed-form solution formula for European options. In this paper, we use a rescaled version of the model developed by Huh et al. [(2018). A scaled version of the double-mean-reverting model for VIX derivatives. Mathematics and Financial Economics 12: 495-515] and obtain explicitly a closed-form pricing formula for European option prices. Our formulas for the first and second-order approximations do not require any complicated calculation of integral. We demonstrate that a faster calibration result of the double-mean revering model is available and yet the practical implied volatility surface of SPX options can be produced. In particular, not only the usual convex behavior of the implied volatility surface but also the unusual concave down behavior as shown in the COVID-19 market can be captured by our formula.

11.
The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation ; 41(4):S231-S231, 2022.
Article in English | EuropePMC | ID: covidwho-1781997

ABSTRACT

Purpose The COVID-19 pandemic continues to afflict millions worldwide. Scientific knowledge about the virus is expanding including the thrombosis risk associated with COVID-19 infection. However, this data in end-stage heart failure patients requiring mechanical circulatory support is limited. Thus we examined the incidence of thrombotic complications in COVID-19 infected LVAD patients. Methods We identified durable LVAD patients infected with COVID-19 from January 2020 to July 2021. We examined anticoagulation regimens and laboratory monitoring parameters that were used. Evidence of thromboembolic phenomena including stroke, venous or arterial and pump thrombosis were evaluated by clinical, radiographic and laboratory assessment. Results Of the 146 LVAD patients followed at our institution, 21 (14%) were infected with COVID-19. Median age was 69 years (IQR 58-73), 18 (86%) were men and 12 (57%) had non-ischemic cardiomyopathy. In our cohort, 3 (14%) had HeartWare VAD, 9 (43%) HeartMate 2 LVAD and 9 (43%) HeartMate 3 LVAD. Eighteen (86%) were on warfarin with a median international normalized ratio (INR) of 2 (IQR 1.6-2.9) at the time of COVID-19 diagnosis. Reasons for holding antithrombotic therapy included a history of gastrointestinal and intracranial hemorrhage. Fourteen (66.7%) patients required admission for COVID-19 infection. Two (14%) were not on anticoagulation and had an INR of 1.1 and 1.6 on admission. Patients on anticoagulation had a median INR of 2.4 (IQR 1.9-2.7) during hospitalization. Notably, there was no clinical, radiographic or laboratory evidence of thrombotic complications, including stroke, pump thrombosis, DVT, or arterial thrombosis. Two (10%) patients died due to septic shock and hypoxic respiratory failure resulting in cardiopulmonary arrest. Conclusion Although COVID-19 is associated with increased thrombogenicity, there was no evidence of thrombosis in our 21 LVAD patients. Regardless of the patients’ anticoagulation status or INR, patients did not experience thrombotic events despite a theoretically heightened risk during acute COVID-19 infection.

12.
13th International Conference on Intelligent Human Computer Interaction, IHCI 2021 ; 13184 LNCS:337-348, 2022.
Article in English | Scopus | ID: covidwho-1782738

ABSTRACT

Virtual reality tours have become a desire for many educational institutions due to the potential difficulties for students to attend in person, especially during the COVID-19 pandemic. Having the ability for a student to explore the buildings and locations on a university campus is a crucial part of convincing them to enroll in classes. Many institutions have already installed tour applications that they have either designed themselves or contracted to a third party. However, they lack a convenient way for non-maintainers, such as faculty, to manage and personalize their classrooms and offices in a simple way. In this paper, we propose a platform to not only provide a full virtual experience of the campus but also feature a user-friendly content management system designed for staff and faculty to customize their assigned scenes. The tour uses the Unity3D engine, which communicates to a university server hosting a custom.NET API and SQL database to obtain information about the virtual rooms through a role-based access system to the faculty and staff. We believe this system for managing tour scenes will solve both time and expense for the tour development team and allow them to focus on implementing other features, rather than having to fulfill requests for editing locations in the tour. We expect this framework to function as a tour platform for other universities, as well as small businesses and communities. We seek to demonstrate the feasibility of this platform through our developed prototype application. Based on small sample testing, we have received overall positive responses and constructive critique that has played a role in improving the application moving forward. © 2022, Springer Nature Switzerland AG.

13.
13th International Conference on Intelligent Human Computer Interaction, IHCI 2021 ; 13184 LNCS:106-116, 2022.
Article in English | Scopus | ID: covidwho-1782733

ABSTRACT

Interest in the proper treatment of mental health has been rapidly growing under the steep changes in society, family structure and lifestyle. COVID-19 pandemic in addition drastically accelerates this necessity worldwide, which brings about a huge demand on digital therapeutics for this purpose. One of the key ingredients to this attempt is the appropriately designed practice contents for the prevention and treatment of mental illness. In this paper, we present novel deep generative models to construct the mental training contents based upon mindfulness approach, with a particular focus on providing Acceptance and Commitment Therapy (ACT) on the self-talk techniques. To this end, we first introduce ACT script generator for mindfulness meditation. With over one-thousand sentences collected from the various sources for ACT training practices, we develop a text generative model through fine-tuning on the variant of GPT-2. Next, we introduce a voice generator to implement the self-talk technique, a text-to-speech application using the ACT training script generated above. Computational and human evaluation results demonstrate the high quality of generated training scripts and self-talk contents. To the best of our knowledge, this is the first approach to generate the meditation contents using artificial intelligence techniques, which is able to deeply touch the human mind to care and cure the mental health of individuals. Applications would be main treatment contents for digital therapeutics and meditation curriculum design. © 2022, Springer Nature Switzerland AG.

14.
22nd International Conference on Artificial Intelligence in Education, AIED 2021 ; 12749 LNAI:446-450, 2021.
Article in English | Scopus | ID: covidwho-1767421

ABSTRACT

The inevitable shift towards online learning due to the emergence of the COVID-19 pandemic triggered a strong need to assess students using shorter exams whilst ensuring reliability. This study explores a data-centric approach that utilizes feature importance to select a discriminative subset of questions from the original exam. Furthermore, the discriminative question subset’s ability to approximate the students exam scores is evaluated by measuring the prediction accuracy and by quantifying the error interval of the prediction. The approach was evaluated using two real-world exam datasets of the Scholastic Aptitude Test (SAT) and Exame Nacional do Ensino Médio (ENEM) exams, which consist of student response data and the corresponding the exam scores. The evaluation was conducted against randomized question subsets of sizes 10, 20, 30 and 50. The results show that our method estimates the full scores more accurately than a baseline model in most question sizes while maintaining a reasonable error interval. The encouraging evidence found in this paper provides support for the strong potential of the on-going study to provide a data-centric approach for exam size reduction. © 2021, Springer Nature Switzerland AG.

15.
Non-conventional in English | National Technical Information Service, Grey literature | ID: grc-753671

ABSTRACT

Task 1.1D1.1 Determine the effects of neurotrophic factors on skeletal muscle development and acetylcholine receptor AChR cluster preformation on the bioprinted muscle construct 35 completion during this reporting period, 80 total completion a. Establishing the optimal conditions of agrin treatment to efficiently induceAChR cluster pre-formation on human muscle progenitor cells hMPCs in the bioprinted muscle construct b. Optimizing the bioink composition for 3D bioprinting of muscle constructs with hMPCsc. Determining the viability and differentiation efficiency of hMPCs with agrin treatments in bioprinted constructs d. Establishing the effect of neurotrophic factors ciliary neurotrophic factorCNTF and glial cell line-derived neurotrophic factor GDNF on the hMPC viability and proliferation in the bioprinted muscle construct e. Optimizing the protocol to fabricate PLGA poly-lactic-co-glycolic-acid microspheres as a vehicle for controlled release of neurotrophic factors in the bioprinted muscle constructs f. Evaluating the kinetics of neurotrophic factor release from PLGA microspheres in the bioprinted muscle construct.

16.
Chronobiology in Medicine ; 3(4):167-170, 2021.
Article in English | Scopus | ID: covidwho-1675634

ABSTRACT

A recently published study on coronavirus disease 2019 (COVID-19) and obstructive sleep apnea (OSA) suggested that there might be an association between certain risk factors and comorbidities associated with OSA, which are also associated with poor COVID-19 outcomes. However, it is unclear whether undiagnosed OSA correlates with COVID-19 severity in a South Korean population. We identified 7 patients who presented with nocturnal hypoxemia during hospitalization due to COVID-19. All patients underwent polysomnography 5-9 weeks after the infection. We retrospectively collected the patients' baseline characteristics, hospital admission data, and polysomnography findings. Of the 7 patients, all were diagnosed with OSA after COVID-19 infection. Their mean (±SD) age was 45.4±16.3 years, 57.1% were men, and their mean (±SD) body mass index was 33.4±6.0 kg/m2. Six patients presented with COVID-19-related pneumonia on chest X-rays, 3 of whom were admitted to the intensive care unit during the acute phase. The overnight polysomnography showed a mean AHI of 59.0±38.5/h and an oxygen desaturation index of 57.6±39.7/h. Undiagnosed OSA is a prevalent condition associated with moderate to severe COVID-19 infection. The study patients with sleep apnea and COVID-19 had obesity and severe oxygen desaturation but did not complain of daytime sleepiness. © This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/bync/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright © 2021 Korean Academy of Sleep Medicine

17.
Respirology ; 26(SUPPL 3):23-24, 2021.
Article in English | EMBASE | ID: covidwho-1583451

ABSTRACT

Background: Although the use of remdesivir and systemic corticosteroids have reduced deaths from COVID-19, COVID-19 still has a high mortality rate. Aims: To know the effectiveness of the combined use of remdesivir and regdanvimab (CT-P59) in patients with severe COVID-19. Methods: From March to early May 2021, 124 severe COVID-19 patients were admitted to Ulsan University Hospital (Ulsan, Korea), and received oxygen therapy and remdesivir. Among them, 25 were administered regdanvimab before oxygen/remdesivir. We retrospectively compared the outcomes of the two groups: remdesivir alone group (n = 99 [79.8%]) vs. regdanvimab/remdesivir group (n = 25 [20.2%]). Results: The oxygen-free days at day 28 (primary outcome), defined as the number of days a patient was alive and oxygen-free for 28 days from oxygen/remdesivir start, were significantly higher in regdanvimab/remdesivir group (mean ± SD [standard deviation]: 19.36 ± 7.87 vs. 22.72 ± 3.66, P = 0.003). The association between the regdanvimab/ remdesivir group and the oxygen-free days was also significant in multivariate analysis (logistic regression), where the initial SpO2/FiO2 ratio (severity index) was adjusted. Further, in the regdanvimab/remdesivir group, the lowest SpO2/FiO2 ratio during treatment was significantly higher (mean ± SD: 237.05 ± 89.68 vs. 295.63 ± 72.74, P = 0.003), and the Kaplan-Meier Estimate of oxygen supplement days in surviving patients (at day 28) were significantly shorter (mean ± SD: 8.24 ± 7.43 vs. 5.28 ± 3.66, P (log-rank test) = 0.024). Conclusions: In severe COVID-19 patients, clinical outcomes could be improved by using regdanvimab in addition to remdesivir.

18.
European Review for Medical and Pharmacological Sciences ; 25(23):7390-7397, 2021.
Article in English | Web of Science | ID: covidwho-1576450

ABSTRACT

OBJECTIVE: Although remdesivir (GS-5734) has recently demonstrated clinical benefits against the pandemic outbreak of coronavirus disease 2019 (COVID-19), neuropsychological adverse reactions (ADRs) remain to be examined in real-world settings. Therefore, we aimed to identify and characterize the neuropsychological ADRs associated with remdesivir use. MATERIALS AND METHODS: We obtained data for this international pharmacovigilance cohort study from individual case safety reports (ICSRs) in a World Health Organization database (VigiBase) from the first report on remdesivir on February 17, 2020, until August 30, 2020 (n=1,403,532). ADRs reported to be relevant to remdesivir were compared with the full database by using a Bayesian neural network method to calculate the information component (IC). RESULTS: A total of 2,107 reported cases of neuropsychological ADRs suspected to be associated with remdesivir were identified from among all ICSRs in the database during the observation period. Although 108 neuropsychological ADRs (64 neurologic events and 44 psychologic events) were reported in association with the medication, no statistically significant pharmacovigilance signal could be detected;the ICO25 value was negative for all of the neuropsychological dysfunctions (anxiety [n=13, 0.62%], seizures [n=12, 0.57%], lethargy [n=6, 0.28%], agitation [n=5, 0.25%], cerebral infarction [n=3, 0.14%]. ischemic stroke [n=3, 0.14%], and hemiparesis [n=3, 0.14%]). CONCLUSIONS: Our study demonstrates that remdesivir, a novel drug applied to the treatment of COVID-19, does not have a significant association with adverse neurologic or psychiatric reactions in the real-world setting.

19.
29th ACM International Conference on Multimedia, MM 2021 ; : 1267-1274, 2021.
Article in English | Scopus | ID: covidwho-1533096

ABSTRACT

Text entry takes an important role of effectively delivering the intention of users to computers, where physical and soft keyboards have been widely used. However, with the recent trends of developing technologies like augmented reality and increasing contactless services due to COVID-19, a more advanced type of text entry is required. To tackle this issue, we propose Air-Text which is an intuitive system to write in the air using fingertips as a pen. Unlike previously suggested air-writing systems, Air-Text provides various functionalities by the seamless integration of air-writing and text-recognition modules. Specifically, the air-writing module takes a sequence of RGB images as input and tracks both the location of fingertips (5.33 pixel error in 640x480 image) and current hand gesture class (98.29% classification accuracy) frame by frame. Users can easily perform writing operations such as writing or deleting a text by changing hand gestures, and tracked fingertip locations can be stored as a binary image. Then the text-recognition module, which is compatible with any pre-trained recognition models, predicts a written text in the binary image. In this paper, examples of single digit recognition with MNIST classifier (96.0% accuracy) and word-level recognition with text recognition model (79.36% character recognition rate) are provided. © 2021 ACM.

20.
Inter-Asia Cultural Studies ; 22(3):410-412, 2021.
Article in English | Web of Science | ID: covidwho-1467250

ABSTRACT

Paik Ki-wan (1932-) Bedridden for 10 months, The fiercest symbol of democratization and unification, Now lays hooked up with a feeding tube in his nose, As if giving his one last fight against COVID-19. As if our conscience could be quantified, He retains just enough to carry on a conversation, The most surprising, his act of writing. (Extract)

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