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1.
Chung-Hua Liu Hsing Ping Hsueh Tsa Chih Chinese Journal of Epidemiology ; 43(9):1364-1369, 2022.
Article in Chinese | MEDLINE | ID: covidwho-2040006

ABSTRACT

Objective: To evaluate the transmissibility of 2019-nCoV Omicron variant under the current prevention and control strategy in Beijing, and provide evidence for the prevention and control of COVID-19.

2.
Front Immunol ; 13:994173, 2022.
Article in English | PubMed | ID: covidwho-2022760

ABSTRACT

Individuals infected with the human immunodeficiency virus type 1 (HIV-1) belong to the group of people most vulnerable to SARS-CoV-2 infections and the associated disease COVID-19. Here we describe SARS-CoV-2-specific antibody and cellular immune responses in a small cohort of immunological non-responder HIV-1 patients (HIV-INRs) after receiving the COVID-19 mRNA-based BioNTech/Pfizer vaccine. Compared to the control group of vaccinated healthy individuals that all developed a virus-specific immune response, 5 of 10 vaccinated HIV-1 patients showed insufficient immune responses. The lack of response was not directly correlated with patients CD4 cell counts. Three of the five non-responders that agreed to receive a booster vaccination subsequently generated a virus-specific response. Thus, even HIV-INRs can be efficiently vaccinated against COVID-19 but may require a follow-up by virus-specific immune monitoring to guarantee clinical vaccine benefits.

3.
Database-the Journal of Biological Databases and Curation ; 2022, 2022.
Article in English | Web of Science | ID: covidwho-2017881

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic has been severely impacting global society since December 2019. The related findings such as vaccine and drug development have been reported in biomedical literature-at a rate of about 10 000 articles on COVID-19 per month. Such rapid growth significantly challenges manual curation and interpretation. For instance, LitCovid is a literature database of COVID-19-related articles in PubMed, which has accumulated more than 200 000 articles with millions of accesses each month by users worldwide. One primary curation task is to assign up to eight topics (e.g. Diagnosis and Treatment) to the articles in LitCovid. The annotated topics have been widely used for navigating the COVID literature, rapidly locating articles of interest and other downstream studies. However, annotating the topics has been the bottleneck of manual curation. Despite the continuing advances in biomedical text-mining methods, few have been dedicated to topic annotations in COVID-19 literature. To close the gap, we organized the BioCreative LitCovid track to call for a community effort to tackle automated topic annotation for COVID-19 literature. The BioCreative LitCovid dataset-consisting of over 30 000 articles with manually reviewed topics-was created for training and testing. It is one of the largest multi-label classification datasets in biomedical scientific literature. Nineteen teams worldwide participated and made 80 submissions in total. Most teams used hybrid systems based on transformers. The highest performing submissions achieved 0.8875, 0.9181 and 0.9394 for macro-F1-score, micro-F1-score and instance-based F1-score, respectively. Notably, these scores are substantially higher (e.g. 12%, higher for macro F1-score) than the corresponding scores of the state-of-art multi-label classification method. The level of participation and results demonstrate a successful track and help close the gap between dataset curation and method development. The dataset is publicly available via https://ftp.ncbi.nlm.nih.gov/pub/lu/LitCovid/biocreative/ for benchmarking and further development.

4.
Journal of addiction medicine ; 2022.
Article in English | MEDLINE | ID: covidwho-2008646

ABSTRACT

BACKGROUND: Food insecurity is prevalent among college students in the United States and has been associated with substance use. We sought to provide updated prevalence estimates and associations between food insecurity and a broad range of substances during the SARS-CoV-2 pandemic. METHODS: Using cross-sectional data from the Health Minds Study (N = 94,722;September 2020-June 2021), we used multivariable logistic regression to examine associations between food insecurity and several substances, adjusting for age, gender, race/ethnicity, hours worked, and residence. We then added a block of adjustments consisting of mental health factors (depression, anxiety, loneliness, financial stress). RESULTS: Food insecurity was associated with significantly greater odds of having used most individual substances, including greater odds of binge drinking (adjusted odds ratio [aOR], 1.21;95% confidence interval [CI], 1.13-1.30), cigarette use (aOR, 1.91;95% CI, 1.73-2.10), vaping (aOR, 1.74;95% CI, 1.62-1.87), and a range of illicit or prescription drugs (using any illicit/prescription drug;aOR, 1.43;95% CI, 1.32-1.55) These associations attenuated and many lost significance after adjusting for mental health factors. CONCLUSIONS: This study found evidence to suggest that food insecurity is related to substance use in a large sample of young adult college students in the United States, calling for targeted interventions.

5.
Journal of Clinical Oncology ; 40(16), 2022.
Article in English | EMBASE | ID: covidwho-2005664

ABSTRACT

Background: GC012F is a B cell maturation antigen (BCMA)/CD19 dual-targeting CAR-T developed on the novel FasT CAR-T platform with overnight manufacturing and designed to improve depth of response and efficacy. Data was presented at ASCO and EHA 2021 for initial 19 pts. We present updated data for study (NCT04236011;NCT04182581) with longer follow up and 9 additional pts treated (n = 28) in 3 different dose levels. Methods: From October 2019 to November 2021, 28 heavily pretreated RRMM pts (age 27-76) median of 5 prior lines (range 2-9) were treated on a single-arm, open label, multicenter Investigator Initiated Trial receiving a single infusion of GC012F. 89.3% (25/ 28) were high risk (HR- mSMART), 8 pts had EM disease, 3 had never achieved a CR including after transplant, 1 pts presented with plasma cell leukemia, 24/28 pts were refractory to last therapy, 3 pts primary refractory. 9/28 pts had received prior anti-CD38, 27/28 pts prior IMiDs. 26/28 pts were refractory to PI, 26/28 pts to IMiDs. After lymphodepletion over 2-3 days (30 mg/m2/d, 300mg/ m2/d Flu/Cy) GC012F was administered as single infusion at 3 dose levels: 1x105/kg (DL1) n = 2, 2x105/kg (DL2) n = 10 and 3x105/kg (DL3) n = 16. Results: As of Jan 26th 2022, 28 pts - median follow-up (f/ u) 6.3 mths (1.8-29.9) - had been evaluated for response. Overall response rate (ORR) in DL1 was 100% (2/2)- DL 2 -80% (8/10) DL 3 -93.8% (15/16) with 27 pts MRD negative by flow cytometry (sensitivity 10-4-10-6). 100% of MRD assessable pts (27/27) achieved MRD negativity. One patient out of 28 could not get assessed. At d28, 21/24 assessable patients were MRD negative (81.5%), 4/ 28 pts could not get d28 MRD assessment f/u due to COVID-19 restrictions however were assessed at a later timepoint. To date best response is MRD- sCR in 21/28 patients(75.0%) across all dose levels. Some pts after short f/u show responses that are still deepening. Cytokine Release Syndrome (CRS) was mostly low grade: gr 0 n = 3 (10.7%), gr 1-2 n = 23 (82.1%), gr 3 n = 2 (7.1%) - no gr 4/5 CRS and no ICANs were observed (Graded by ASBMT criteria). Median duration of CRS was 3 d (1-8 d). PK results showed no difference amongst dose levels DL1 to DL3. Overall, CAR-T median Tmax was 10 d (range 8-14 d), median peak copy number (Cmax) was 97009 (16,011-374,346) copies /μg DNA with long duration of persistence of up to d793 (data cut-off). CAR-T geometric mean AUC0-28 for DL1, DL2 and DL3 were 468863, 631540 and 581620 copies/μg DNA×day, respectively. Pts continue to be monitored for safety and efficacy including DOR. Conclusions: BCMA-CD19 dual FasT CAR-T GC012F continues to provide deep and durable responses with a favorable safety profile in additional RRMM pts across all dose levels demonstrating a very high MRD negativity rate including in pts refractory to anti-CD38, PI and IMIDs. GC012F is currently being studied in earlier lines of therapy as well as additional indications.

6.
Liver Int ; 2022.
Article in English | PubMed | ID: covidwho-2001716

ABSTRACT

BACKGROUND AND AIMS: Chronic liver disease (CLD) patients and liver transplant (LT) recipients have an increased risk of morbidity and mortality from coronavirus disease 2019 (COVID-19). The immunogenicity of COVID-19 vaccines in CLD patients and LT recipients is poorly understood. The present study aimed to evaluate the immunogenicity of COVID-19 vaccines in CLD patients and LT recipients. METHODS: We searched electronic databases for eligible studies. Two reviewers independently conducted the literature search, extracted the data, and assessed the risk of bias and the quality of included studies. The rates of detectable immune response were pooled from single-arm studies. For comparative studies, we compared the rates of detectable immune response between patients and healthy controls. The meta-analysis was conducted using the Stata software with a random-effects model. RESULTS: In total, 19 observational studies involving 4191 participants met the inclusion criteria. The pooled rates of detectable humoral immune response after two doses of COVID-19 vaccination in CLD patients and LT recipients were 95% (95% confidence interval (CI)=88%-99%) and 66% (95% CI=57%-74%), respectively. After two doses of vaccination, the humoral immune response rate was similar in CLD patients and healthy controls (risk ratio (RR)=0.96;95% CI=0.90-1.02;P=0.14). In contrast, LT recipients had a lower humoral immune response rate after two doses of vaccination than healthy controls (RR=0.68;95% CI=0.59-0.77;P<0.01). CONCLUSIONS: Our meta-analysis demonstrated that COVID-19 vaccination induced strong humoral immune responses in CLD patients but poor humoral immune responses in LT recipients.

7.
IEEE Sensors Journal ; : 1-1, 2022.
Article in English | Scopus | ID: covidwho-1961411

ABSTRACT

Detecting protective measures (e.g., masks, goggles and protective clothing) is a momentous step in the fight against COVID-19. The detection mode of unmanned devices based on Simultaneous localization and mapping (SLAM) and fusion technology is more efficient, economical and safe than the traditional manual detection. In this paper, a tightly-coupled nonlinear optimization approach is used to augment the visual feature extraction of SLAM by the gyroscope of the IMU to obtain a high-precision visual inertial system for joint position and pose estimation. Based on the VINS-Mono frame, first, an LSD algorithm based on a conditional selection strategy is proposed to extract line features efficiently. Then, we propose recovering missing point features from line features. Moreover, we propose a strategy to recover vanishing point features from line features, and add residuals to the SLAM cost function based on optimization, which optimizes point-line features in real time to promote the tracking and matching accuracy. Second, the wavelet threshold denoising method based on the 3σcriterion is used to carry out real-time online denoising for gyroscope to improve the output precision. Our WD-PL-VINS was measured on publicly available EuRoC datasets, TUM VI datasets and evaluated and validated in lab testing with a unmanned vehicle (UV) based on the NVIDIA Jetson-TX2 development board. The results show that our method’s APE and RPE on MH 03 easy sequences are improved by 69.28% and 97.66%, respectively, compared with VINS-Mono. IEEE

8.
IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR) ; : 81-84, 2022.
Article in English | Web of Science | ID: covidwho-1927529

ABSTRACT

The COVID-19 pandemic created the largest disruption of education systems in history. Distance learning through online platforms were part of the solution. However, preclinical exercises to train psychomotor skills of learners have been challenging. The use of virtual reality (VR) in training medical students is innovative and has attracted much attention. In this study, authors presented the development of multi-user VR application for dental education. Our preliminary results showed the potential of using VR in the preclinical curriculum of dental education.

9.
Frontiers in Environmental Science ; 10:13, 2022.
Article in English | Web of Science | ID: covidwho-1869374

ABSTRACT

This paper aims to empirically examine the impact of institutional pressure on green supply chain management (GSCM) efforts and the moderating role of big data analytics capabilities (BDAC) on organizational performance. This study greatly develops a research model by integrating institutional theory, the natural resource-based view (NRBV), and dynamic capability theory to explore this relationship. This article is based on structured questionnaire data of 347 supply chain personnel. We employed structural equation modeling to verify the research hypotheses. The findings provide empirical support for institutional pressures affecting GSCM efforts and organizational performance. The results also showed that the moderating effect of BDAC positively strengthened the impact of GSCM effort on organizational performance. The findings extend and refine the existing GSCM literature, providing new insights for scholars to explore this view further. Practitioners can turn their attention to incorporating institutional pressures and advanced technologies into organizational decision-making, even in times of crisis such as Covid-19.

10.
Chinese Journal of Biologicals ; 34(5):560-565, 2021.
Article in Chinese | EMBASE | ID: covidwho-1857139

ABSTRACT

Objective To evaluate the specificity of three consecutive batches of 2019-nCoV nucleic acid detection kit (fluorescence PCR) manufactured by Shanghai GeneoDx Biotech Co., LTD. Methods A total of 55 common respiratory pathogens, including endemic human coronaviruses (HKU1, OC43, NL63 and 229E), severe acute respiratory syndrome conronavirus (SARS-CoV), Middle East respiratory syndrome coronavirus (MERS), seasonal influenza virus, rhinovirus, adenovirus, Klebsiella pneumonia and Mycobacterium tuberculosis, were grouped and used for verification of cross reactivity of the detection kit. According to the requirements in the Key Points of Technical Review for Registration of 2019 New Coronavirus Nucleic Acid Detection Reagents issued by Center for Medical Device Evaluation, National Medical Products Administration (NMPA), human mucoprotein, human blood, phenylephrine, oxymetazoline, sodium chloride (including those as preservatives) and other 29 interfering substances were selected to verify the anti-interference substances of this kit. Results In the verification for cross reactivity, the test results of mixed positive samples by the three consecutive batches of kit were positive, while those of negative samples were negative, indicating a coincidence rate of accuracy of 100%. The cross-reactive substances showed no effect on the test result by the kit. All the test results of positive and borderline positive samples were positive, while those of negative samples were negative, indicating a coincidence rate of accuracy of 100%. All the 29 kinds of endogenous / exogenous interfering substances showed no influence on the test results by this kit. Conclusion Hie new coronavirus 2019-nCoV nucleic acid detection kit (fluo¬rescence PCR method) manufactured by Shanghai GeneoDx Biotech Co., LTD. showed no cross-reactivity with 55 common respiratory pathogens, while showed anti-interference properties against endogenous and exogenous interfering substances such as host tissue, common respiratory pathogen and common drugs for respiratory diseases in clinic. The specificity test result of the kit met the requirements for registration of 2019 new coronavirus nucleic acid detection reagents. The test results of three consecutive batches of kits were highly stable.

11.
2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022 ; : 81-84, 2022.
Article in English | Scopus | ID: covidwho-1846137

ABSTRACT

The COVID-19 pandemic created the largest disruption of education systems in history. Distance learning through online platforms were part of the solution. However, preclinical exercises to train psychomotor skills of learners have been challenging. The use of virtual reality (VR) in training medical students is innovative and has attracted much attention. In this study, authors presented the development of multi-user VR application for dental education. Our preliminary results showed the potential of using VR in the preclinical curriculum of dental education. © 2022 IEEE.

12.
7th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2021 ; : 296-299, 2021.
Article in English | Scopus | ID: covidwho-1840234

ABSTRACT

As social media becomes more and more popular, fake news spreads rapidly which is more likely to cause serious consequences, especially during the COVID-19 pandemic. On the premise of meeting data privacy and security requirements, federated learning uses multi-party heterogeneous data to further promote machine learning. This paper proposes a federal learning based COVID-19 fake news detection model with deep self-attention network (FL-FNDM). We construct a deep self-attention network for fake news detection, which combines self-attention-based pretrained model BERT and deep convolutional neural network to detect fake news. Moreover, the fake news detection model is learned under the framework of horizontal federated learning, aiming at protecting users' data security and privacy. The experimental results demonstrate that the proposed model can improve the performance of fake news detection on the COVID-19 dataset, which can achieve almost the same effect of sharing data without leaking user data. © 2021 IEEE.

13.
European Sport Management Quarterly ; 22(1):92-119, 2022.
Article in English | CAB Abstracts | ID: covidwho-1839942

ABSTRACT

Research Question: The COVID-19 pandemic has highlighted the need for a transformative perspective on the role of sport brands in promoting fans' psychological well-being. Drawing upon attachment theory, the current research explores how individuals' involvement with sport brands may contribute to their psychological well-being in the wake of COVID-19. Research Methods: Data were collected from sport fans (n = 770) in mainland China through an online survey. Machine learning-based model selection algorithms were used to optimize the balance between the predictive power and parsimoniousness of the empirical model. Bayesian structural equation modeling was performed to examine the effects of sport brand involvement (SBI), crisis management performance, and perceived togetherness (PT) on fans' sense of hope and emptiness. Results and Findings: The results indicate that fans' involvement with sport brands was positively associated with fans' psychological well-being. SBI mitigated fans' perceived emptiness. This relationship was partially mediated by PT but not by crisis management performance. Furthermore, sport brands' crisis management performance and PT fully mediated the positive relationship between SBI and hope. Implications: This research contributes to theorizing the transformative role of sport brands in enhancing fans' psychological well-being. We offer an alternative view of sport branding literature by moving beyond fans' contributions to business outcomes to explore how sport brands may benefit fans' well-being. Findings highlight the importance of the transformative power of 'we' in unifying sport brands and fans amid the uncertainty of the COVID-19 pandemic.

14.
Clinical Cancer Research ; 27(6 SUPPL 1), 2021.
Article in English | EMBASE | ID: covidwho-1816891

ABSTRACT

Background: Serology tests for detecting the antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can identify previous infection and help to confirm the presence of current infection. Objective: The aim of this study was to evaluate the performances of a newly developed high throughput immunoassay for anti-SARS-CoV-2 IgG antibody detection. Results: Clinical agreement studies were performed in 77 COVID-19 patient serum samples and 226 negative donor serum/plasma samples. Positive percent agreement (PPA) was 46.15% (95% CI: 19.22% ∼74.87%), 61.54% (95% CI: 31.58% ∼86.14%), and 97.53% (95% CI: 91.36% ∼99.70%) for samples collected on 0-7 days, 8-14 days, and ≥15 days from symptom onset, respectively. Negative Percent Agreement (NPA) was 98.23% (95% CI: 95.53% ∼99.52%). No cross-reactivity was observed to patient samples positive for IgG antibodies against the following pathogens: HIV, HAV, HBV, RSV, CMV, EBV, Rubella, Influenza A, and Influenza B. Hemoglobin (200 mg/dL), bilirubin (2 mg/dL) and EDTA (10 mM) showed no significant interfering effect on this assay. Conclusion: An anti-SARS-CoV-2 IgG antibody assay with high sensitivity and specificity has been developed. With the high throughput, this assay will speed up the anti-SARS-CoV-2 IgG testing.

15.
AMIA ... Annual Symposium Proceedings/AMIA Symposium ; 2021:1264-1273, 2021.
Article in English | MEDLINE | ID: covidwho-1749849

ABSTRACT

During the coronavirus disease pandemic (COVID-19), social media platforms such as Twitter have become a venue for individuals, health professionals, and government agencies to share COVID-19 information. Twitter has been a popular source of data for researchers, especially for public health studies. However, the use of Twitter data for research also has drawbacks and barriers. Biases appear everywhere from data collection methods to modeling approaches, and those biases have not been systematically assessed. In this study, we examined six different data collection methods and three different machine learning (ML) models-commonly used in social media analysis-to assess data collection bias and measure ML models' sensitivity to data collection bias. We showed that (1) publicly available Twitter data collection endpoints with appropriate strategies can collect data that is reasonably representative of the Twitter universe;and (2) careful examinations of ML models' sensitivity to data collection bias are critical.

16.
Open Forum Infectious Diseases ; 8(SUPPL 1):S257, 2021.
Article in English | EMBASE | ID: covidwho-1746691

ABSTRACT

Background. Patients who are hospitalized with Coronavirus 2019 (COVID-19) are known to have increased risk for thrombosis. Several mechanisms have been proposed for increased thrombogenesis, including antiphospholipid antibodies (APLs). We sought to better understand the relationship between a commonly used marker of thrombosis, D-dimer, and antiphospholipid antibodies in relation to thrombosis in COVID-19. Methods. This was a single-center prospective cohort study. Participants were adults admitted to the hospital with COVID-19 between March and December of 2020. Included patients required a positive COVID-19 nasopharyngeal nucleic acid amplification testing (NAAT), coagulation studies, and regular assessment of D-dimer levels. Patients who were excluded were pregnant adults, use of oral anticoagulants prior to admission, and absence of a positive COVID-19 nasopharyngeal NAAT. We tested 52 patients for antiphospholipid antibodies (APLs), including lupus anticoagulant (LA), anti-beta-2 glycoprotein antibodies (B2GP), and anti-cardiolipin antibodies (aCL). The endpoint for analysis was hospital discharge or development of a confirmed thrombosis. Results. Twenty-nine of fifty-two patients (55.7%) with COVID-19 had non-negative APLs. Of these patients, twenty-seven (93.1%) had non-negative aCLs, the majority of which were IgM antibodies. There was a total of 7 thrombotic events in our cohort. The sensitivity of D-dimer alone was 85% and the sensitivity of APLs alone was 71%. In patients with an intermediate D-dimer level (i.e., greater than 2 milligrams per liter (mg/L) but less than 5 mg/L), the addition of non-negative APLs increased the sensitivity of D-dimer to 100%. In patients with a high D-dimer (i.e., greater than 5), the combined sensitivity of D-dimer and APLs was 60%. Out of the 7 thrombotic events in our cohort, two patients had negative APLs, however both patients had a D-dimer of greater than 5 mg/L. Conclusion. The use of APLs can assist in risk-stratifying patients in an intermediate-risk D-dimer group to consider prophylactic anticoagulation if APLs are negative and to consider therapeutic anticoagulation if APLs are non-negative. In the high-risk group (i.e., a D-dimer greater than 5 mg/dL), a therapeutic anticoagulation approach may be more appropriate.

17.
Open Forum Infectious Diseases ; 8(SUPPL 1):S357-S358, 2021.
Article in English | EMBASE | ID: covidwho-1746486

ABSTRACT

Background. Molnupiravir (MOV), (MK-4482, EIDD-2801) is being clinically developed for the treatment of COVID-19 disease caused by SARS-CoV-2. MOV is the orally administered 5-isobutyrate prodrug of the active, antiviral ribonucleoside analogue, N-hydroxycytidine (NHC, EIDD-1931) which inhibits viral replication by induction of mutations in the viral genome, leading to viral error catastrophe. In 2 clinical studies, hospitalized (MOVe-In) and non-hospitalized (MOVe-Out) participants were treated for 5 days with MOV and followed up to Day 29. Viral RNA isolated from nasal swab samples were sequenced to determine the rate, distribution and type of viral mutations observed after MOV treatment. Methods. RNA isolated from nasopharangeal swab samples collected during study conduct was quantified by RT-PCR. Samples containing >22,000 copies/mL of RNA underwent complete genome NGS using the Ion AmpliSeq SARS-CoV-2 research panel and Ion Torrent sequencing. Mutation rates were calculated by determining the number of nucleotide changes observed across the entire genome at Day 3 and/ or Day 5 compared to baseline. Results. Combined data from both studies showed an increase of ~2-4 fold in the viral mutation rate post-baseline in MOV treated compared with placebo. Mutations were distributed across the entire genome with only a minority being observed in more than one sample. The most frequent mutations were transitions of C to U observed in the highest MOV dose group (800 mg/BID). Conclusion. Consistent with the proposed mechanism of action of MOV, an increase in the rate of transition mutations in the virus was observed in post-baseline nasal swab samples from participants treated with MOV compared with placebo.

18.
Open Forum Infectious Diseases ; 8(SUPPL 1):S373, 2021.
Article in English | EMBASE | ID: covidwho-1746454

ABSTRACT

Background. Molnupiravir (MOV, MK-4482, EIDD-2801) is an orally administered prodrug of N-hydroxycytidine (NHC, EIDD-1931), a nucleoside with broad antiviral activity against a range of RNA viruses. MOV acts by driving viral error catastrophe following its incorporation by the viral RdRp into the viral genome. Given its mechanism of action, MOV activity should not be affected by substitutions in the spike protein present in SARS-CoV-2 variants of concern which impact efficacy of therapeutic neutralizing antibodies and vaccine induced immunity. We characterized MOV activity against variants by assessing antiviral activity in vitro and virologic response from the Phase 2/3 clinical trials (MOVe-In, MOVe-Out) for treatment of COVID-19. Methods. MOV activity against several SARS-CoV-2 variants, was evaluated in an in vitro infection assay. Antiviral potency of NHC (IC50) was determined in Vero E6 cells infected with virus at MOI ~0.1 by monitoring CPE. Longitudinal SARSCoV-2 RNA viral load measures in participants enrolled in MOVe-In and MOVe-Out were analyzed based on SARS-CoV-2 genotype. Sequences of SARS-CoV-2 from study participants were amplified from nasal swabs by PCR and NGS was performed on samples with viral genome RNA of >22,000 copies/ml amplified by primers covering full length genome with Ion Torrent sequencing to identify clades represented in trial participants. SARS-CoV-2 clades were assigned using clade.nextstrain.org. Results. In vitro, NHC was equally effective against SARS-CoV-2 variants B.1.1.7 (20I), B.1351 (20H), and P1 (20J), compared with the original WA1 (19B) isolate. In clinical trials, no discernable difference was observed in magnitude of viral response measured by change from baseline in RNA titer over time across all clades represented including 20A through 20E and 20G to 20I. No participants at the time of the study presented with 20F, 20J, or 21A. Conclusion. Distribution of clades in participants in MOVe-In and MOVe-Out was representative of those circulating globally at the time of collection (Oct 2020 -Jan 2021). Both in vitro and clinical data suggest that spike protein substitutions do not impact antiviral activity of MOV and suggest its potential use for the treatment of SARS-CoV-2 variants.

19.
2021 IEEE International Conference on Engineering, Technology and Education, TALE 2021 ; : 35-41, 2021.
Article in English | Scopus | ID: covidwho-1741267

ABSTRACT

School closures during the COVID-19 pandemic highlight the need for promoting efficient online learning. Without external pressure and guidance, fully online learners are expected to self-monitor their learning process and find paths to achieve learning goals;such abilities are considered self-regulated learning (SRL) skills. To become a self-regulated learner, the first step is to learn how to set effective learning goals. However, this is difficult for learners with lower SRL skills, since they may not have enough knowledge on selecting and adopting the appropriate goal setting strategies. Thus, there is a need for supporting fully online learners on setting effective learning goals. This study introduces a new approach of enhancing students' goal setting skills by interacting with a chatbot, which embedded some guiding questions based on a goal setting strategy. Students in an online course were invited to complete a goal setting activity prior to class, and their perceptions of the activity were collected via interviews. The findings from this study shed light on future designs of chatbot supporting SRL activities. © 2021 IEEE.

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