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1.
Colorectal Disease ; 24(Supplement 3):221-222, 2022.
Article in English | EMBASE | ID: covidwho-2078403

ABSTRACT

Aim: NHS England, in June 2020, published guidance that required Faecal Immunochemical Testing (FIT) for all symptomatic patients, including high and low-risk patients, prior to the referral to the suspected colorectal cancer pathway. FIT was utilised as a stratification tool to ration limited diagnostic services during the COVID-19 pandemic. This study investigates the feasibility of the recommended guidelines in a Northeast London catchment population. Method(s): Patients considered for referral on the two-week wait (2WW) pathway for suspected colorectal cancer provided stool samples for FIT analysis. Samples were analysed at a single centre using an OC-Sensor FIT-Screening System, with FIT >10 mug Hb/g warranting urgent investigation. Results were then retrospectively correlated with patient records. Result(s): From January 2021 to June 2021, there was a 111.4% increase in FIT requests compared to the previous 12 months. However, of the 8475 samples, 19% (1607) were unprocessed by the lab. There were 20% (1718) FIT positive above the NICE threshold of 10 mug Hb/g, while 61% (5150) were negative. 27% underwent referral and urgent investigation. 314 patients were also identified as FIT positive, though not referred. Conclusion(s): This study highlights concerns about FIT's real-world feasibility and acceptance as a risk stratification tool prior to referral. Despite recommendations implemented in mid-2020, significant proportions of patients referred lacked a FIT result prior to referral. Furthermore, literature suggests FIT is widely accepted;however, this is not congruent with the study results demonstrating a substantial proportion of 19% of unprocessed samples due to incorrectly labelled and inadequate samples received by the lab. This, therefore, raises concerns about relying on FIT and the potential delays in the diagnosis of CRC due to repeating unprocessed samples. Finally, we are investigating the outcome for the 314 patients with FIT results above the 10 mug Hb/g threshold that were not referred.

2.
European psychiatry : the journal of the Association of European Psychiatrists ; 64(Suppl 1):S790-S790, 2021.
Article in English | EuropePMC | ID: covidwho-2044797

ABSTRACT

Introduction Several ADHD teenagers had difficult behavioral problems during countries closing down due to Covid-19 pandemic. One of these negative outcomes that parents cannot control children’s behavior toward desired unhealthy food and the impulsive consequences. It was a great opportunity to convention a teletherapy program as a tool of intervention seeking for help to reduce uncontrolled self- management and nutrition, which may affect all sorts of childhood growth, development, health and behavior. Furthermore, it can affects daily life and academic success. Objectives We tried through our study to enhance the teletherapy as a therapeutic tool, during the first and second phase of Covid-19 pandemic, trying to help parents and patient to overcome the impulsive behavior by using a specific therapy technique based on nutrition and behavioral therapy Methods Our case study is a young girl aged 12:4 Yrs. In middle bilingual Arabic/ American School. The therapeutic program designed via teletherapy program using multi-media and thru multi phases sessions, to increase focus attention, emotional control and reduce impulsivity. Results The outcomes of the enhancing nutrition and behavior teletherapy program, showed significant improvement for the specific goal. Sensible change in the girl’s impulsive behavior, more focusing, emotional control and more accepting about health nutrition habits. Conclusions The important finding that intensive, focused nutation and self-management techniques provided via teletherapy as solitary program brought benefits to individual’s, family and reduced impulsivity outcomes. In addition, family education to become an expert at learning simple techniques in daily life can brining a sense of pleasure for long life wellbeing. Disclosure No significant relationships.

3.
International Conference on Business and Technology, ICBT 2021 ; 488:1009-1024, 2023.
Article in English | Scopus | ID: covidwho-1971441

ABSTRACT

E-Learning has been introduced in the economy after the revolution of technologies that increased in many sectors and that has become a necessity in the current period of life specially during the COVID-19 pandemic. E-learning is illustrated in using the electronic communication to deliver education between educators and learners which helped institutions and universities to implement innovative features and techniques in order to enhance interactions between students and educators and make it more flexible in time and place for both. In this research paper, we have examined and investigated the implementation of E-learning during the COVID-19 pandemic and how that has affected the E-learning process, explaining the significance of E-learning and specially in understanding accounting. Furthermore, this research study obtained to one more objective that is identifying some of the major challenges while understanding accounting through E-learning particularly during COVID-19 crisis. This study’s design was to adopt the examination of the implementation of E-learning during COVID-19 on the dependent variable which is understanding and studying accounting. The findings of this research study that the E-learning during COVID-19 has been increased and more consumed by many sectors, resulting from the need of minimizing direct contacts between educators and learners. Besides that, there was found that there might be some various challenges facing E-learning during COVID-19 and specifically in understanding accounting. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

4.
Journal of SAFOG ; 14(3):242-247, 2022.
Article in English | EMBASE | ID: covidwho-1969636

ABSTRACT

Aim: To study childbirth experience of women with coronavirus disease-2019 (COVID-19) at our institute and to assess clinical characteristics, maternal, and perinatal outcomes of SARS-CoV-2-positive pregnancies. Materials and methods: We conducted a prospective cohort study of all SARS-CoV-2-positive women who delivered at our institute from 1 September 2020 to 31 March 2021. The data was collected from labor room birth register, electronic medical record (EMR), and feedback questionnaire, Kerala Institute of Medical Sciences–Childbirth Experience Questionnaire (KIMS–CEQ), filled by women to express their childbirth experience. Results: Of the 50 women we studied, 84% were asymptomatic. In contrast to the majority of the studies published till now, preterm labor in our study was noted only in 12% cases. In our study, 62% delivered vaginally and cesarean section (CS) rate was 38%. All cesarean deliveries were done only for obstetric or fetal indications. A total of 6% women had minor peripartum complications. Majority of the neonates had normal appearance, pulse, grimace, activity, and respiration (APGAR) scores, and all were COVID-19 screen negative;12% required neonatal intensive care unit (NICU) admission;84% women opted to breastfeed their babies (direct breastfeeding or expressed breast milk) maintaining all precautions and hygiene they were taught;88% women experienced positive childbirth experience based on KIMS–CEQ score. Conclusion: In our study, the pregnancy complications including the pre-term labor and severity of COVID-19 are not found to be above those in screen negative pregnant women nor any case of vertical transmission of SARS-CoV-19 reported. Our study is unique as it also assesses the birthing experience in women with COVID-19 which shows that most of them had a positive birth experience at our institute. The COVID-19 status should not deprive any women of her childbirth rights, although more precautions are warranted. Clinical significance: A positive or negative childbirth experience can have far-reaching consequences in life of a woman and the newborn. It is the need of the hour to address the important issue of positive birth experience, especially during the era of ongoing COVID-19 pandemic. The KIMS–CEQ provides an efficient tool to assess birthing experience of women with COVID-19.

6.
2nd International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2022 ; 2022.
Article in English | Scopus | ID: covidwho-1961385

ABSTRACT

Online marketing and e-commerce firms were already prospering in Bangladesh during this era of internet technology. Because people are under lockdown due to the COVID-19 epidemic, internet shopping has become the major platform for purchasing because it is the safest option. It sped up the time it took for firms to go online. More online product service providers improve people's lives, but it also raises concerns about product quality and service. As a result, it is simple for new clients to dupe while purchasing online. Our objective is to create a system that uses Natural Language Processing to assess client feedback from online purchasing and deliver a ratio of good and bad comments written in Bangla from past customers (NLP). We gathered approximately 6000 comments and views on the product to conduct the study. As classification approaches, we used sentiment analysis, as well as KNN, Decision Tree, Support Vector Machine (SVM), Random Forest, and Logistic Regression. With an accuracy of 94.78 percent, SVM outperformed all other methods. © 2022 IEEE.

7.
Circulation: Cardiovascular Quality and Outcomes ; 15, 2022.
Article in English | EMBASE | ID: covidwho-1938114

ABSTRACT

Background: Patients hospitalized with COVID-19 who develop cardiopulmonary arrest often have poor prognosis, prompting discussions with families about goals of care. The relationship between clinical and social determinants of code status change is poorly understood. Methods: This retrospective study included adult COVID-19 positive patients admitted to the intensive care unit with cardiac arrest in a multihospital center over the first 9 months of the pandemic (3/1/2020-12/1/2020). Data on medical and social factors was collected and adjudicated. Results: We identified 208 patients over the study timeline. The mean age was 63.7 ± 14.5 years and 54.3% (n=113) were male. The majority of patients with cardiopulmonary arrest had pulseless electrical activity (PEA) as their initial rhythm (91.3%, n=190). Code status was changed in 56.3% (n=117) of patients. The majority of COVID-19 patients with cardiac arrest were Hispanic (53.4%, n=111), followed by African American (27.9%, n=58), and White patients (13.5%, n=28). Race/ethnicity did not affect the rate of code status change. COVID-19 patients who had a code status change were statistically more likely to have a lower salary ($54,838 vs $62,374), have a history of stroke/transient ischemic attack (15.4 vs 4.4%, 18:4), or heart failure (28.2 vs 15.6%, 33:14), all with P<0.05. Patients with code status change had shorter courses of cardiopulmonary resuscitation (11.9 vs 16.9 minutes, P<0.05). Both groups had similar levels of aggressive care received including continuous renal replacement therapy, vasopressor and broad-spectrum antibiotics requirements. Insurance status, ethnicity, religion, and education did not lead to statistically significant changes in code status in COVID patients. Conclusion: Patients hospitalized with cardiopulmonary arrest and positive for COVID-19 are more likely to have a change in code status. This code status change is affected by cardiovascular comorbidities such as stroke and heart failure, along with lower income but not by insurance status, ethnicity, religion, and educational level.

8.
2nd International Conference on Computer, Control and Robotics, ICCCR 2022 ; : 81-85, 2022.
Article in English | Scopus | ID: covidwho-1932090

ABSTRACT

The outbreak of the Covid-19 pandemic has resulted in a surge in the generation of medical waste. Due to the transmissible nature of the Virus and the lack of effort at proper disposal, the safety of the front-line health workers, as well as the disposer, is at risk. Hence, to mitigate the spread of infectious diseases, a system is proposed that uses a robotic arm for segregating medical waste automatically. The robotic arm is operable through voice commands, and the segregating operation could function in automatic and manual mode. The system uses the YOLOv3 (You Only Look Once) algorithm to detect and classify the medical waste and then uses the Robot Operating System (ROS) platform to pick up and drop the waste object into color-coded bins. For this research, the medical waste has been categorized into 4 types, and for each type, a color-coded bin has been used for segregation. Our system has achieved 94% training accuracy for the YOLOv3 model on a custom dataset, whereas the system's overall accuracy in automated mode was 82.1%, derived after 30 trials. In the case of manual mode, an average accuracy of 82.5% has been achieved for the same number of trials. © 2022 IEEE.

9.
Review of Economic Analysis ; 14(2):221-252, 2022.
Article in English | Scopus | ID: covidwho-1929538

ABSTRACT

This study examines the gender impacts of the COVID-19 pandemic on the labor market and household wellbeing, using an online survey of the users of Pakistan’s largest online job platform. The analysis shows that the pandemic led to an unprecedented level of economic insecurity for employees and employers alike, resulting in widespread job loss, business closures, a slowdown in business activity, and reduced working hours. The sectors where female workers are heavily concentrated, such as education, were more severely affected. The pandemic has also led to a disproportionate increase in women’s unpaid care work and increased their reported rates of stress and anxiety. These findings suggest that the pandemic had significant wellbeing impacts on women in Pakistan, including a decline in the female labor force participation rate, which is already among the world’s lowest. © 2022 Emcet O. Taş, Tanima Ahmed, Norihiko Matsuda, and Shinsaku Nomura.

10.
47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 ; 2022-May:1-5, 2022.
Article in English | Scopus | ID: covidwho-1891392

ABSTRACT

Persistent coughs are a major symptom of respiratory-related diseases. Increasing research attention has been paid to detecting coughs using wearables, especially during the COVID-19 pandemic. Microphone is most widely used sensor to detect coughs. However, the intense power consumption needed to process audio hinders continuous audio-based cough detection on battery-limited commercial wearables, such as earbuds. We present CoughTrigger, which utilizes a lower-power sensor, inertial measurement unit (IMU), in earbuds as a cough detection activator to trigger a higher-power sensor for audio processing and classification. It runs all-the-time as a standby service with minimal battery consumption and triggers the audio-based cough detection when a candidate cough is detected from IMU. Besides, the use of IMU brings the benefit of improved specificity of cough detection. Experiments are conducted on 45 subjects and CoughTrigger achieved 0.77 AUC score. We also validated its effectiveness on free-living data and through on-device implementation. © 2022 IEEE

11.
E-Learning and Digital Media ; : 20427530221107788, 2022.
Article in English | Sage | ID: covidwho-1886898

ABSTRACT

After the spread of the coronavirus around the world, the Egyptian government imposed blended learning on higher education institutions. Consequently, colleges and universities in Egypt are entering a new era where learning is not confined to the classroom alone but also through learning management systems (LMSs). Thus, this study adopts the Unified Theory of Acceptance and Use of Technology (UTAUT) to study how students accept and use the LMSs. An online survey was conducted through a structured questionnaire to collect quantitative data for analysis. Obtained data from 803 respondents were analyzed using structural equation modelling Partially least squares regression was used for the model and hypothesis testing. The results show that trust is vital in determining the acceptance and use of LMSs. The study results may provide insights into a better approach to promoting LMS acceptance.

12.
Journal of Human Behavior in the Social Environment ; : 11, 2022.
Article in English | Web of Science | ID: covidwho-1886318

ABSTRACT

Women all over the world face a multitude of issues daily. Unfortunately, one of the most common and tragic concerns that women face, especially those in third world countries, is domestic violence. This research paper has tried to find out and analyze the trend of domestic violence during this current period of lockdown and social distancing measures, which the COVID-19 pandemic has necessitated. During our investigations, a few variables intrigued us;these variables do not lead to a simple, uncomplicated conclusion on the occurrence of domestic violence. On the contrary, the pool of 350 respondents (especially from urban areas), which include homemakers and working women alike, education was one such variable that played a pivotal role in preventing domestic violence. Another variable was the effect of social stigma;because many women have internalized the impact of spousal and familial abuse, most of them find it incredibly difficult, if not impossible, to speak up about the struggles they face. We have made use of logistic regression models to verify the independent variables and their validity.

13.
American Journal of Respiratory and Critical Care Medicine ; 205:1, 2022.
Article in English | English Web of Science | ID: covidwho-1879910
14.
Rheumatology (United Kingdom) ; 61(SUPPL 1):i87-i88, 2022.
Article in English | EMBASE | ID: covidwho-1868401

ABSTRACT

Background/Aims The COVID-19 pandemic resulted in a rapid change to the use of virtual consultations in both primary and secondary care. Since April 2020, our osteoporosis clinic appointments have predominantly been undertaken by telephone. We wanted to assess our patients' experience of telephone consultations. Methods A patient feedback questionnaire was developed by the osteoporosis team which was validated by the Patient Advice and Liaison Service team (PALS) at the Royal United Hospital Bath. A questionnaire consisting of 15 questions was sent to patients following their telephone consultation. Patient consent to receive the questionnaire was requested by the consulting clinician for each participant. The patients were provided with a stamped addressed envelope to return the completed anonymous questionnaire. Thematic analysis was used to identify themes in the qualitative data. Results A total of 39 questionnaires were completed. More than 86% of patients reported that their telephone consultation definitely met their needs. Over 89% answered 'yes definitely' to questions regarding understanding of the reason for their appointment, opportunities for questions, clear understandable answers, feeling listened to, and treatment plans. 59% of patients responded 'yes definitely' that they were given information prior to the appointment about what would happen in the consultation, 10% reported they hadn't, with 31% responding they had but to some extent only. 72% of respondents reported that it was clear who they should contact if they had any further questions following the consultation. Regarding preference for future appointments, 47% of patients indicated that they would prefer a mixture of telephone, face to face and video consultations;24% preferred telephone, 16% preferred hospital face to face, and 3% preferred video. 11% reported that they had no preference. Thematic analysis of individual comments identified positive themes such as flexibility, good communication with clinicians and convenience. Areas for development are around communication with regard to physical barriers such as hearing and telephone signal problems. There are also limitations around both physical examination and the transmission of implicit information (non-verbal communication). Conclusion Virtual consultations provide an opportunity to safely assess patients whilst meeting social distancing requirements and minimising patient flow through the hospital. Questionnaire analysis indicates an overall positive experience of telephone consultations. However, most patients would prefer a mixture of face to face, video and telephone consultations in future. There are a number of areas for improvement including: a review of the information provided to patients prior to the consultation, review of contact information for patients following the consultation, and mechanisms for identifying patients with physical/ sensory limitations. The information gained through this small review will help us improve the overall telephone consultation experience for our patients.

15.
International Journal of Emerging Markets ; : 21, 2022.
Article in English | Web of Science | ID: covidwho-1853359

ABSTRACT

Purpose The emerging markets are facing a lot of risks and disruptions across their supply chains (SCs) due to the deadly coronavirus disease 2019 (COVID-19) pandemic. To mitigate the significant post-COVID-19 consequences, organizations should modify their existing strategies and focus more on the key flexible sustainable SC (SSC) strategies. Still now, a limited number of studies have highlighted about the flexible strategies what firms should adopt to reduce the rampant effects in the context of emerging markets. Design/methodology/approach This study presents an integrated approach including Delphi method, Bayesian, and the Best-Worst-Method (BWM) to identify, assess and evaluate the importance of the key flexible SSC strategies for the footwear industry in the emerging market context. Findings The results found the manufacturing flexibility through automation integration as the most important flexible SSC strategy to improve the flexibility and sustainability of modern SCs. Also, developing omni-channel distribution and retailing strategies and increasing the level of preparedness by using artificial intelligent are crucial strategies for overcoming the post-COVID-19 impacts. Originality/value The novelty of this research is that the research connects a link among flexible strategies, SCs sustainability, and the impacts of the COVID-19 pandemic. Moreover, the research proposes a novel and intelligent framework based on Delphi and Bayesian-BWM to identify and analyze the key flexible SSC strategies to build up sustainable and robust SCs which can withstand in the post-COVID-19 world.

16.
Journal of the American College of Cardiology ; 79(9):2120-2120, 2022.
Article in English | Web of Science | ID: covidwho-1848272
17.
Egyptian Journal of Chemistry ; 65(6):305-310, 2022.
Article in English | Scopus | ID: covidwho-1836280

ABSTRACT

The goal of this study was to examine the changes in salivary biochemical markers such as AST, ALT, GGT, albumin, and C-RP in COVD-19 patients (n=50) to control subjects (n=50). Methods: Whole saliva samples were taken from fifty persons who were matched with sex and age and were then divided into two groups: healthy (n = 50) and COVID-19 (n = 50).Student's t-test and the Correlation-Coefficient test were used to determine statistical significance. The data is presented as a mean standard deviation. A spectrophotometric kit was used to quantify salivary AST, AST, ALP GGT, LDH, and albumin levels, while a conventional enzyme-linked immunosorbent test was used to determine CRP amounts. COVID-19 patients had significantly greater salivary levels of AST, AST, ALP GGT, LDH, and C-RP than controls. However, when compared to the control group, salivary albumin levels in COVID-19 patients were considerably lower. Conclusion: Elevated salivary ALP, AST, AST, GGT, and CRP levels in COVID-19 patients suggest salivary gland injury and could serve as a salivary marker for salivary gland involvement in COVID-19. © 2022 NIDOC (Nat.Inform.Document.Centre). All rights reserved.

18.
2021 IEEE International Conference on Big Data, Big Data 2021 ; : 2442-2453, 2021.
Article in English | Scopus | ID: covidwho-1730869

ABSTRACT

People can easily reveal their aggressive remarks on social media platforms using the anonymity it provides. During the COVID-19 pandemic, the usage of social media has been increased several times according to surveys and people are vulnerable to cyber attacks now more than ever. Prevention of cyberbullying needs careful monitoring and identification. Most of the existing works on cyberbullying detection employed traditional machine learning classifiers with handcrafted fea-tures, and deep learning-based models have made their way in this domain very recently. Categorizing cyberbullying based on traits is a complex task and needs contextual consideration. In this work, we have proposed a new approach to detect cyberbullying on social media platforms using a neural ensemble method of transformer-based architectures with attention mechanism. Our proposed architecture is trained on one balanced and one imbalanced dataset and outperforms the given ML and DNN baselines by a significant margin in both cases. We achieved an average F1-score of 95.59% for five classes and 90.65% for six classes on the Fine-Grained Cyberbullying Dataset (FGCD), and 87.28% on Twitter parsed dataset. Our in-depth results provide great insights into the effectiveness of transformer-based models in cyberbullying detection and paves the way for future researches to combat this serious online issue. We have released our models and code.1 © 2021 IEEE.

19.
Kidney International Reports ; 7(2):S383-S384, 2022.
Article in English | PMC | ID: covidwho-1693592
20.
Vaccines (Basel) ; 10(1)2021 Dec 29.
Article in English | MEDLINE | ID: covidwho-1580348

ABSTRACT

INTRODUCTION: Despite global efforts to contain the illness, COVID-19 continues to have severe health, life, and economic repercussions; thus, maintaining vaccine development is mandatory. Different directions concerning COVID-19 vaccines have emerged as a result of the vaccine's unpredictability. AIMS: To study the determinants of the attitudes of healthcare workers (HCWs) to receiving or refusing to receive the vaccine. METHODS: The current study adopted an interviewed questionnaire between June and August 2021. A total of 341 HCWs currently working at Assiut University hospitals offered to receive the vaccine were included. RESULTS: Only half of the HCWs (42%) accepted the COVID-19 vaccine. The most common reason that motivated the HCWs was being more susceptible than others to infection (71.8%). On other hand, the common reasons for refusing included: previously contracted the virus (64.8%); did not have time (58.8%); warned by a doctor not to take it (53.8%). Nearly one-third of nonaccepting HCWs depended on television, the Internet, and friends who refused the vaccine for information (p < 0.05). In the final multivariate regression model, there were six significant predictors: sex, job category, chronic disease, being vaccinated for influenza, and using Assiut University hospital staff and the Ministry of Health as sources of information (p < 0.05). CONCLUSION: Misinformation and negative conceptions are still barriers against achieving the desired rate of vaccination, especially for vulnerable groups such as HCWs.

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