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1.
American Journal of Transplantation ; 22(Supplement 3):610-611, 2022.
Article in English | EMBASE | ID: covidwho-2063404

ABSTRACT

Purpose: The transplant community had to adjust to a new way of practicing medicine during the COVID-19 viral pandemic. Our transplant center quickly adapted to virtual clinic visits to maintain the safety of our immunosuppressed patients. The purpose of this study was to examine how patients and providers regarded this new method of delivering healthcare. Method(s): Patients with a telehealth transplant clinic visit between March 2020 and April 2021 were recruited to participate in a telephone survey, which consisted of 19 statements rating their experience on a 5-point Likert Scale. Two additional questions allowed participants to offer suggestions for improvement. Demographic information was also collected. Multi-specialty healthcare providers and support staff in the transplant division who had conducted telehealth visits were contacted via email to participate in an electronic survey, consisting of 25 statements that asked providers to assess their telehealth experience on a 5-point Likert Scale. They were also able to provide additional comments regarding their experience. Result(s): Results are summarized in Table 1. The majority of patients and providers had an electronic device that allowed access to video telehealth visits and felt that the telehealth platform was easy to navigate. Statistical significance was found between not pursuing higher education and not having a video visit-capable device (p=0.035). Retired or disabled patients were more likely to find that setting up an account and navigating the video platform was difficult (p=0.022). Both patients and providers agreed that when they experienced connectivity issues with the video platform, it was easy to convert to a telephone call. Both groups reported having ample time during their telehealth visit and felt that all questions and concerns were adequately addressed. More patients than providers preferred the telehealth visit to an in-person clinic visit, as they mentioned the convenience of the telehealth visit when a lengthy commute was involved. Conclusion(s): The viral pandemic required both patients and providers to adapt to telehealth visits. Social determinants of health should be taken into consideration to provide sufficient care, as certain populations may require extra assistance to utilize this platform effectively. Overall, most providers and patients agreed that adequate care can be provided via telehealth, supporting the continued use of this platform in the future.

2.
23rd IEEE International Conference on Mobile Data Management, MDM 2022 ; 2022-June:169-178, 2022.
Article in English | Scopus | ID: covidwho-2037826

ABSTRACT

Epidemics such as COVID-19, SARS, H1N1 have highly transmissible viruses and spread wildly through the population with negative consequences. Multiple studies have shown the correlation between the contact networks between individuals and the transmission of infections due to contact between colocated individuals. To mitigate the transmission of the virus, intervention measures have been applied without decisive success. Therefore, reducing transmissions through suitable epidemicaware POI recommendations to users is necessary to cope with user mobility. Current POI recommendation approaches do not take into consideration the transmission of infections between co-located users. In this paper, we formulate a new query named Epidemic-aware POI Recommendation Query (EPQ), to timely recommend a set of POIs to users at different time steps, while considering the spread of infection between co-located users, their social friendships, and their preference. We prove that EPQ is NP-hard and propose an effective and efficient algorithm, Epidemic-aware POI Recommendation (EpRec) to tackle EPQ. We evaluate EpRec on existing location-based social networks and pandemic datasets against state-of-the-art algorithms. The experimental results show that EpRec outperforms the baselines in effectiveness and efficiency. © 2022 IEEE.

3.
Indoor and Built Environment ; 2022.
Article in English | EMBASE | ID: covidwho-1997264

ABSTRACT

COVID-19 has alerted us about the need to quantify the effect of different environmental factors on the concentration distribution of bioaerosols. An experimental investigation was carried out to evaluate the effect of environmental factors, including air temperature, relative humidity, airflow speed and ultraviolet (UV) radiation, on the potential dispersion risk of bioaerosols in an enclosed space by tracking the Serratia marcescens as the tiny organisms. Research results indicated that the concentration of bioaerosols is the highest at the indoor air temperature of 25°C among the tested conditions (20°C, 25°C, 30°C and 35°C). The particle size of bioaerosols can be influenced by temperature, resulting in changes in the amount of settling. Increasing relative humidity from 50% to 80% and airflow speed from 1.5 m/s to 2.2 m/s have a negative impact on the dispersion of bioaerosols as the amount of particle settlement increases accordingly. As for the UV radiation parameters, a better disinfection efficiency was achieved at a radiation distance of 40 cm in the tested range of 20–50 cm and a radiation exposure time of 30 min in the tested range of 10–50 min. This study delivered novel data for the concentration distribution of bioaerosol under different environmental factors for creating a safe indoor environment.

4.
Ieee Transactions on Intelligent Transportation Systems ; : 12, 2022.
Article in English | English Web of Science | ID: covidwho-1883153

ABSTRACT

Large-scale infectious diseases pose a tremendous risk to humans, with global outbreaks of COVID-19 causing millions of deaths and trillions of dollars in economic losses. To minimize the damage caused by large-scale infectious diseases, it is necessary to develop infectious disease prediction models to provide assistance for prevention. In this paper, we propose an XGBoost-LSTM mixed framework that predicts the spread of infectious diseases in multiple cities and regions. According to big traffic data, it was found that population flow is closely related to the spread of infectious diseases. Clustering and dividing cities according to population flow can significantly improve prediction accuracy. Meanwhile, an XGBoost is used to predict the transmission trend based on the key features of infection. An LSTM is used to predict the transmission fluctuation based on infection-related multiple time series features. The mixed model combines transmission trends and fluctuations to predict infections accurately. The proposed method is evaluated on a dataset of highly pathogenic infectious disease transmission published by Baidu and compared with other advanced methods. The results show that the model has an excellent predictive effect and practical value for large-scale infectious disease prediction.

5.
35th IEEE International Conference on Micro Electro Mechanical Systems Conference (IEEE MEMS) ; : 365-368, 2022.
Article in English | Web of Science | ID: covidwho-1822038

ABSTRACT

This study presents a facile route to fabricate a novel kind of digital microfluidic (DMF) chip via direct ink writing. The manufacture of this device does not rely on conventional microfabrication processes and cleanrooms, which makes it easy to prepare and low cost. By measuring the change of contact angle (CA) and droplet velocity, we proved that it could perform droplet manipulation like traditional DMF chips. In addition, after optimizing the chip structure, through a peripheral support circuit, polymerase chain reaction (PCR) reagents could be automatically partitioned and mixed on the chip. Furthermore, we realized the multi-target end-point fluorescence detection of SARS-CoV-2 RNA on this chip, showing promising potential for automatic nucleic acid tests.

6.
Trends and Developments for the Future of Language Education in Higher Education ; : 208-234, 2021.
Article in English | Scopus | ID: covidwho-1810496

ABSTRACT

The COVID pandemic has highlighted the need for universities to be innovative and inclusive in their response to changing circumstances and to develop high quality courses in a completely online environment. In Semester 1, 2020, the team redeveloped a large undergraduate English and Chinese translation course at an Australian university in flipped mode while shifting the course to fully online delivery. The authors found that although student attitudes towards online flipped learning were initially mixed, levels of student engagement were similar to previous semesters. By the second semester of implementation, student evaluations of the course were significantly higher than in pre-flipped, pre-online semesters. This experience demonstrates that it is possible to develop a flipped university translation course that is interactive and engaging and challenges students academically. With appropriate scaffolding and the judicious use of technology, flipped learning offers a very positive learning experience and can be a key element of effective course design in fully online mode. © 2021, IGI Global.

7.
PubMed; 2021.
Preprint in English | PubMed | ID: ppcovidwho-333657

ABSTRACT

Understanding protective mechanisms of antibody recognition can inform vaccine and therapeutic strategies against SARS-CoV-2. We discovered a new antibody, 910-30, that targets the SARS-CoV-2 ACE2 receptor binding site as a member of a public antibody response encoded by IGHV3-53/IGHV3-66 genes. We performed sequence and structural analyses to explore how antibody features correlate with SARS-CoV-2 neutralization. Cryo-EM structures of 910-30 bound to the SARS-CoV-2 spike trimer revealed its binding interactions and ability to disassemble spike. Despite heavy chain sequence similarity, biophysical analyses of IGHV3-53/3-66 antibodies highlighted the importance of native heavy:light pairings for ACE2 binding competition and for SARS-CoV-2 neutralization. We defined paired heavy:light sequence signatures and determined antibody precursor prevalence to be ~1 in 44,000 human B cells, consistent with public antibody identification in several convalescent COVID-19 patients. These data reveal key structural and functional neutralization features in the IGHV3-53/3-66 public antibody class to accelerate antibody-based medical interventions against SARS-CoV-2. HIGHLIGHTS: A molecular study of IGHV3-53/3-66 public antibody responses reveals critical heavy and light chain features for potent neutralizationCryo-EM analyses detail the structure of a novel public antibody class member, antibody 910-30, in complex with SARS-CoV-2 spike trimerCryo-EM data reveal that 910-30 can both bind assembled trimer and can disassemble the SARS-CoV-2 spikeSequence-structure-function signatures defined for IGHV3-53/3-66 class antibodies including both heavy and light chainsIGHV3-53/3-66 class precursors have a prevalence of 1:44,000 B cells in healthy human antibody repertoires.

8.
2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 ; : 1412-1417, 2021.
Article in English | Scopus | ID: covidwho-1722864

ABSTRACT

The emergence and spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have created an enormous socioeconomic impact. Although there are several promising drug candidates in clinical trials, none of them are approved yet. Thus, the drug repositioning approach may help to overcome the current pandemic. However, the sparse dataset of COVID-19 limits the accuracy of existing drug repositioning. To overcome this problem, we propose a novel drug repositioning framework (named Drug2Cov). Drug2Cov can learn an effective representation via integrating self-supervised learning with sparse data. Meanwhile, Drug2Cov uses a heterogeneous graph neural network to capture the complex interaction between viruses, targets, and drugs that enhance the accuracy of drug repositioning. The experimental results demonstrate the effectiveness and feasibility of our proposed Drug2Cov framework. Source code and dataset are freely available at https://github.com/lhf3291109/Drug2Cov. © 2021 IEEE.

9.
European Journal of Integrative Medicine ; 48, 2021.
Article in English | EMBASE | ID: covidwho-1587783

ABSTRACT

Introduction: Chinese patent medicine (CPM) is an indispensable part of traditional Chinese medicine. Coronavirus Disease 2019 (COVID-19) manifests is an acute respiratory infectious disease. This systematic review aimed to evaluate the therapeutic effects and safety of oral CPM for COVID-19. Methods: We included randomized controlled trials (RCTs) that tested oral CPM for the treatment of COVID-19 identified from publications in CNKI, Wanfang, VIP, Web of Science, SinoMed, PubMed, Embase, BioRxiv, MedRxiv and arXiv before November 2nd, 2020. The risk of bias for each trial was assessed using the Cochrane Risk of Bias Tool 2.0. RevMan 5.4 software was used for data analyses. The certainty of the evidence was assessed using the online GRADEpro tool. Results: Seven RCTs including 1079 participants were identified. The overall bias was assessed as “some concerns” for all included trials. Oral CPM investigated were: Lianhua Qingwen capsule/granules (连花清瘟胶囊/颗粒, LHQW), Jinhua Qinggan granules (金花清感颗粒, JHQG), Huoxiang Zhengqidripping pills (藿香正气滴丸, HXZQ), Toujie Quwen granules (透解祛瘟颗粒, TJQW) and Lianhua Qingke granules (连花清咳颗粒, LHQK). Compared with conventional western therapy alone for people with COVID-19: regarding the main outcomes, the results showed that oral CPM combined with conventional western therapy improved cure rate (RR = 1.20, 95% CI 1.04 to 1.38, involving LHQW and TJQW), reduced aggravation rate (RR = 0.50, 95% CI 0.29 to 0.85, involving LHQW, JHQG, LHQK and TJQW);with regard to additional outcomes, the results showed that add-on oral CPM shortened the duration of fever, cough and fatigue, improved the recovery rate of cough and fatigue, and increased the improvement and recovery rate of chest CT manifestations. There were some differences in therapeutic effects among various CPMs for the same COVID-19 outcome. The use of TJQW and LHQG appeared not to increase the risk of adverse events, but JHQG may cause mild diarrhea. Conclusions: Low-certainty or very low-certainty evidence demonstrated that oral CPM may have add-on potential therapeutic effects for patients with non-serious COVID-19. There are some differences in therapeutic effects between different oral CPMs for the same outcome of COVID-19. The use of TJQW and LHQG probably does not increase the risk of adverse events, but JHQG may cause mild diarrhea in patients. The conclusion of this review needs to be further confirmed by well-designed clinical trials with adequate sample sizes. Keywords: Coronavirus Disease 2019;COVID-19;Chinese patent medicine;Chinese herbal medicine;Systematic review;Meta-analysis

10.
European Journal of Integrative Medicine ; 48, 2021.
Article in English | EMBASE | ID: covidwho-1587782

ABSTRACT

Introduction: Coronavirus Disease 2019 (COVID-19) is an acute respiratory infectious disease. At present, there is no specific and effective therapy for the treatment and prevention of this disease. Traditional Chinese medicine (TCM) has accumulated thousands of years of experience on the use of Chinese herbal medicine (CHM) to prevent and treat infectious diseases. The aim of this study was to present the evidence on the therapeutic effects and safety of Chinese herbal medicine (CHM) used with or without conventional western therapy for COVID-19. Methods: Clinical studies on the therapeutic effects and safety of CHM for COVID-19 were included. We summarized the general characteristics of included studies, evaluated methodological quality of randomized controlled trials (RCTs) using the Cochrane risk of bias tool, analyzed the use of CHM, used Revman 5.4 software to present the risk ratio (RR) or mean difference (MD) and their 95% confidence interval (CI) to estimate the therapeutic effects and safety of CHM. Results: A total of 58 clinical studies were identified including RCTs (17.24%, 10), non-randomized controlled trials (1.72%, 1), retrospective studies with a control group (18.97%, 11), case-series (20.69%, 12) and case-reports (41.38%, 24). Fig.1 shows the flow diagram for the searching and screening of published articles. No RCTs of high methodological quality were identified. The most frequently tested oral Chinese patent medicine, Chinese herbal medicine injection or prescribed herbal decoction were: Lianhua Qingwen granule/capsule, Xuebijing injection and Maxing Shigan Tang. Table 1 lists the CHM used at least twice. In terms of aggravation rate, pooled analyses showed that there were statistical differences between the intervention group and the comparator group (RR 0.42, 95% CI 0.21 to 0.82, six RCTs;RR 0.38, 95% CI 0.23 to 0.64, five retrospective studies with a control group), that is, CHM plus conventional western therapy appeared better than conventional western therapy alone in reducing aggravation rate. In addition, compared with conventional western therapy, CHM plus conventional western therapy had potential advantages in increasing the recovery rate and shortening the duration of fever, cough and fatigue, improving the negative conversion rate of nucleic acid test, and increasing the improvement rate of chest CT manifestations and shortening the time from receiving the treatment to the beginning of chest CT manifestations improvement. For adverse events, pooled data showed that there were no statistical differences between the CHM and the control groups. Conclusion: Current low certainty evidence suggests that there may be a tendency that CHM plus conventional western therapy is superior to conventional western therapy alone. The use of CHM did not increase the risk of adverse events. Keywords: traditional Chinese medicine, Chinese herbal medicine, novel coronavirus pneumonia, coronavirus disease 2019, COVID-19, SARS-CoV-2, review, clinical study

11.
Respirology ; 26(SUPPL 3):18-19, 2021.
Article in English | EMBASE | ID: covidwho-1583447

ABSTRACT

Background: In 2020, the coronavirus disease 2019 began spreading widely across the world. We aim to study the biological changes of SARS-CoV-2 infected Vero cells using high-throughput sequencing data, which will be helpful for vaccine development and drug screening. Methods: The data GSE153940 was obtained from the Gene Expression Omnibus database. R software was used to screen out differentially expressed genes and perform Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. The protein-protein interaction network was built by STRING. Cytoscape 3.7.2 was applied for the visualization of the protein-protein interaction network and the identification of the hub genes. GraphPad Prism 8.4.3 was used to perform the statistical analysis to verify the obtained central genes. Results: A total of 3640 differentially expressed genes were obtained. The most significant enrichment items of Gene Ontology in the biological process, cellular component, and molecular function were the regulation of mRNA metabolic process, organelle inner membrane, and cadherin binding respectively. Ten enrichment pathways were identified by the Kyoto Encyclopedia of Genes and Genomes analyses. A protein-protein interaction network with 328 nodes and 498 edges was established. Six hub genes were screened out, among which four genes (MRPS7, DAP3, CHCHD1 and MRPL3) were confirmed to be statistically significant. Conclusions: Our results suggest that mitochondrial activity has a significant role in the process of SARS-CoV-2 infecting Vero E6 cells. Further experimental studies are needed to obtain abundant data to verify the predicted results of the bioinformatics analysis.

12.
Zhonghua Yu Fang Yi Xue Za Zhi ; 55(2): 280-283, 2021 Feb 06.
Article in Chinese | MEDLINE | ID: covidwho-1468516

ABSTRACT

This paper summarizes the development trend and characteristics of public opinion on health protection and disinfection strategies in the COVID-19 epidemic. The experience and deficiency of the strategies are discussed from the perspective of public opinion, and suggestions on how health protection and disinfection can help prevent and control infectious diseases are also put forward: to strengthen health protection and disinfection in key places and units; to evaluate health protection and disinfection effects as well as the transmission mechanism of virus in the environment; to establish a professional health protection and disinfection emergency science popularization mechanism and information release channel; to speed up the formulation and revision of health protection and disinfection standards related to the epidemic.


Subject(s)
COVID-19 , Disinfection , Humans , Public Health , Public Opinion , SARS-CoV-2
13.
International Journal of Radiation Oncology, Biology, Physics ; 111(3):e329-e330, 2021.
Article in English | Academic Search Complete | ID: covidwho-1428049

ABSTRACT

To test for associations in virtual visit use among radiation oncology patients. Using the electronic medical record, we extracted encounter data and corresponding patient information the 6 months prior to and 6 months of COVID-enabled virtual visits (10/1/2019-3/22/2020 versus 3/23/2020-9/1/2020) at a large tertiary cancer center. Encounters during COVID were categorized as in-person or virtual visits. Descriptive and univariate analysis was conducted on the characteristics of patient populations during the pre-COVID period to establish baseline demographics and compare to the during COVID period. Examined demographic variables included race, ethnicity, age, sex, marital status, preferred language, insurance status and tumor characteristics including disease site. Univariate and multivariable (MVA) logistic regression examined patient demographic and disease characteristics associated with virtual visit use. We analyzed 4,974 total encounters, (2,287 pre-COVID and 2,687 during COVID), among 3,960 total patients. All (100%) pre-COVID encounters were in-person whereas during COVID, 21% of encounters were via virtual visits. Overall, there were no differences identified in pre- versus during COVID patient characteristics. However, we found significant differences in patient characteristics for in-person versus virtual encounters during COVID. On MVA, virtual visit use was less common among patients of minority race (white n = 321 versus black n = 100 and other n = 35, OR 0.73, 95% CI 0.57-0.94, P = 0.014) and not married (OR 0.78, 95% CI 0.61-1.00, P = 0.048). Patients diagnosed with head and neck (OR 0.64, 95% CI 0.42-0.96, P = 0.030), breast (OR 0.35, 95% CI 0.20-0.60, P = < 0.001), GI/abdominal (OR 0.31, 95% CI 0.16-0.62, P = 0.001) or hematologic malignancy (OR 0.18, 95% CI 0.04-0.84, P = 0.029), were less likely to use virtual visits relative to patients with genitourinary malignancy. While the patient populations were similar prior to and during COVID, when controlling for available variables, we found significant differences in virtual visit use by patient characteristics, including race and marital status as well as disease characteristics. Further study is needed to elucidate additional factors that underlie these differences in virtual visit utilization;health equity should be considered when implementing virtual visits. Our findings raise the hypothesis that vulnerable patient groups may benefit from additional interventions and outreach to enable equitable access. [ABSTRACT FROM AUTHOR] Copyright of International Journal of Radiation Oncology, Biology, Physics is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

14.
Global Advances in Health and Medicine ; 10:24-25, 2021.
Article in English | EMBASE | ID: covidwho-1234517

ABSTRACT

Objective: To present the evidence of the effectiveness and safety of Chinese herbal medicine (CHM) used with or without conventional western therapy on COVID-19. Methods: Clinical studies on effectiveness and safety of CHM for COVID-19 were included. We summarized general characteristics of included studies, evaluated methodological quality of randomized controlled trials (RCTs), analyzed the use of CHM, estimated the effectiveness and safety of CHM. Results: A total of 58 clinical studies were identified including RCTs (17.24%, 10), non-randomized controlled trials (1.72%, 1), retrospective studies with a control group (18.97%, 11), case-series (20.69%, 12) and case-reports (41.38%, 24). No high methodological quality RCTs were identified. The most frequently tested Chinese patent medicine, Chinese herbal medicine injection or prescribed herbal decoction were: Lianhua Qingwen granule/capsule, Xuebijing injection and Maxing Shigan Tang. In terms of aggravation rate, pooled analyses showed that there had statistical differences between the intervention group and the comparator group (RR 0.42, 95% CI 0.21 to 0.82, 6 RCTs;RR 0.37, 95% CI 0.22 to 0.64, 4 retrospective studies with control group), that is, CHM plus conventional western therapy appeared better than conventional western therapy in reducing aggravation rate. In addition, compared with conventional western therapy, CHM plus conventional western therapy had potential advantages in increasing the resolution rate and shortening the duration of fever, cough and fatigue, improving the negative conversion rate of nucleic acid test, and increasing the number of patients with inflammatory disappearance or shortening the time from receiving treatment to beginning of inflammation disappearance. For adverse events, pooled data showed that there was no statistical difference between the CHM and the control groups. Conclusion: Current low certainty evidence suggests that there may be a tendency that CHM plus conventional western therapy is superior to conventional western therapy alone. The use of CHM did not increase the risk of adverse events.

15.
Cancer Research ; 81(4 SUPPL), 2021.
Article in English | EMBASE | ID: covidwho-1186408

ABSTRACT

Introduction During the coronavirus 2019 (COVID-19) pandemic in USA, NET use has been recommended to allowsafe deferral of surgical treatment in early stage, estrogen receptor positive breast cancer (ER+BC). In suchcircumstances, after NET use there is limited guidance on locoregional treatment, especially with management of the axilla. We aimed to evaluate patterns of care in early stage ER+BC during the first several months of theCOVID-19 pandemic. Method A cross-sectional, 30-item survey was developed using a standardized surveydevelopment framework. The survey was administered May 8 - June 12, 2020 to a convenience sample of medicaloncologists (MO), radiation oncologists (RO), and surgeons (SO) - breast committee members of two nationalcooperative groups (Alliance and SWOG) with additional participation through chain referrals. Providers were presented with general questions on NET use before and during the pandemic. They were asked their propensity foromitting axillary lymph node dissection (ALND) after NET if 1 micrometastatic node is found on sentinel lymph nodebiopsy, based on duration of NET. Results 114 providers from 29 US states completed the survey - 42 (37%) MO, 14(12%) RO, and 58 (51%) SO, the majority (N=73/96, 76%) with practices dedicated ≥ 75% to BC, at NCI designatedcomprehensive cancer centers 52% (N=48/94) and in large cities (N=49/94, 52%). Prior to COVID-19, most rarely(N=49/107, 46%) or sometimes (N=36, 33%) used NET for early stage ER+BC. Nearly half were willing to delay.surgery up to 2 months (46%) and 3 months (21%) without use of NET (Table 1, p<0.05). Most providers wouldperform a genomic assay on the biopsy specimen on all or select patients prior to NET initiation, more frequently byMO compared to RO and SO (90% vs. 75% and 60%, p<0.05). The most preferred regimen was tamoxifen (withoutovarian suppression) for premenopausal patients and aromatase inhibitor for postmenopausal patients. Mostplanned to use NET for as little time as possible until surgery could proceed. When stratified by specialty, more MOstated they would vary the duration of therapy based on patient's risk of cancer progression. Most providersrecommended omitting ALND after 1, 2, or 3 months of NET (1 month N=56/93, 60%;2 months N=54/92, 59%;3months N=48/90, 53%). With longer duration of therapy, the propensity for omitting ALND decreased (definitely omitafter 6 months N=25/91, 27%;probably omit after 6 months N=38/91, 42%;definitely omit after 1 year N=26/92,28%;probably omit after 1 year N=29/92, 32%). Omitting ALND was not associated with provider's years in practice,percent of practice dedicated to BC, practice type or setting, participation in multidisciplinary tumor board, or numberof COVID-19 cases in the provider's practicing state. ConclusionMost providers changed their management of early stage ER+BC during the COVID-19 pandemic by utilizing NET until surgery could proceed. As the duration of NET extended, more providers favored ALND in low volume axillary metastatic disease in early stage ER+BC.Additional data to inform the care on post-NET locoregional management is needed.

16.
Progr. Biomed. Opt. Imaging Proc. SPIE ; 11597, 2021.
Article in English | Scopus | ID: covidwho-1177489
19.
Proc. - IEEE Int. Conf. Bioinform. Biomed., BIBM ; : 319-322, 2020.
Article in English | Scopus | ID: covidwho-1075717

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the strain of coronavirus that causes coronavirus disease 2019 (COVID-19), which leads to over 800,000 deaths and is still no specific medicines. Drug repositioning aiming to infer potential drugs for diseases and achieve much attention during the SARS-CoV-2 epidemic. However, find a specific drug of SARS-CoV-2 is still a large challenge that cannot be addressed well with current methods. To overcome this problem, we present a novel drug repositioning framework of heterogeneous graph convolutional networks for SARS-CoV2. The deep2CoV model can effectively search the potential drugs for SARS-CoV-2, which reduce the number of clinical trials and drug development cycles. The experimental results demonstrate the effectiveness and feasibility of our proposed deep2CoV framework. © 2020 IEEE.

20.
International Journal of Emerging Technologies in Learning ; 15(23):131-144, 2020.
Article in English | Scopus | ID: covidwho-1061571

ABSTRACT

Due to the outbreak of COVID-19, the teaching of psychology in college has become especially important, posting higher requirements on the teaching content and purpose of the course of psychology. Nowadays, the traditional course of public psychology in college only focuses on the prevention and correction of psychological problems among college students, but educators ignore the importance of teaching students to understand psychological problems through relevant courses, making it impossible to achieve the expected effect of mental health education for students. Colleges should apply the notion of positive mental health education in the course of public psychology designed for college students. Students can better adapt to the society only when they have sound mental quality. According to requirement of “the zone of proximal development™ a conceptual framework of the course was established in this study based on adaptation theory in which students are encouraged to think independently, as required by and an autonomous learning situation was created for students with psychological problems. At the same time, the education and teaching programming software named Scratch was adopted and integrated in the virtual simulated experimental teaching system of psychology. The integrated teaching system included the management of psychological teaching software, the monitoring of psychological experimental process, the query and analysis of psychological experimental data and the management of academic experimental resources, forming an integrated teaching environment with adaptive learning functions. In the end, the ant colony algorithm was used to mine a learning mode that is commensurate with the learner’s knowledge level, meets the learner’s resource preferences and satisfies the learner’s needs for learning activities, and this learning mode was identified as the best application mode for the learning of public psychology. It was revealed in practice that the adaptive learning mode of psychology based on virtual simulation technology can improve students’ learning initiative for the course of public psychology and increase their independent innovation ability. © 2020. All Rights Reserved.

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