Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 129
Filter
Add filters

Journal
Year range
1.
International Journal of Clinical Pediatric Dentistry ; 14(6):802-811, 2021.
Article in English | Scopus | ID: covidwho-1614150

ABSTRACT

Coronavirus disease-2019 (COVID-19) has spread as a pandemic throughout the world, posing a serious public health threat. Dentists appear to have a higher risk of COVID-19 exposure amongst Healthcare workers. This danger is even more magnified in pediatric dentistry since infected children typically have an asymptomatic, mild, or severe clinical viral infection and so can considerably contribute to community-based COVID-19 transmission. These are unprecedented times that require unprecedented efforts with dynamic protocols to be adopted. It is very challenging, but also an amazing opportunity to UNLEARN, RELEARN, AND REORGANIZE our approach of dental practice, so as to adapt and come at par to the emerging “NEW NORMAL”. Coronavirus–” THE ENFORCER” has enforced upon us, screening of patients for COVID-19, utilization of stringent disinfection & sterilization protocols, be attired with personal protection such as PPE, N95 Mask, face shield, etc., to minimize chances of contraction or cross-contamination with social distancing and appropriate hygiene practices as a new norm. It has further enlightened the concept of “Non-aerosol” or “Minimally invasive techniques” that will possibly guide our therapeutic choices not only in the immediate future but also in the long term. The purpose of this review is to offer a compendious abridgment of literature available on COVID-19 to give an insight on recommendations that have been published about pediatric dental practice during COVID-19 and lays a concrete emphasis on the paradigm shift in the actual in-practice treatment options, to adapt to the changing circumstances during the pandemic and the times to follow, opening scenarios of prevention and cure that are more sustainable, safe, and efficient. © The Author(s).

2.
Nano LIFE ; 11(3), 2021.
Article in English | EMBASE | ID: covidwho-1613081

ABSTRACT

Layered double hydroxide nanomaterials (LDH NMs) have been dragging the researchers' attention toward biomedical applications owing to their physiochemical properties, biocompatibility, environmental sensitivity and good cellular uptake mechanisms. Various synthetic methods have been presented in brief. This paper draws attention toward the modification and functionalization of LDH nanostructures for biomedical applications in targeted and controlled drug release, anticancer, bioimaging, bone therapy and regeneration, gene delivery, ophthalmic and antitumor activities. Further, it explains the properties of conjugated LDH NMs which put forward their possibilities to be used in synthesizing the most demanding vaccine for COVID-19 pandemic. Current scenario, challenges and future perspective of LDH NMs have also been discussed.

3.
Cancer Research, Statistics, and Treatment ; 4(3):589-590, 2021.
Article in English | Scopus | ID: covidwho-1592813
4.
International Conference on Construction Materials and Environment, ICCME 2020 ; 196:481-489, 2022.
Article in English | Scopus | ID: covidwho-1598005

ABSTRACT

As India is in its developing stage and the traffic on the other side in India is very heterogeneous or mixed in its nature and the average growth rate of vehicles in India is about 8%. With the increase rate of urbanization in India it will lead to the considerable traffic and travel growth on the roads which will result in vehicular delays, long queues and traffic congestion. So, in this paper with the help of traffic simulation software, i.e. VISSIM, three simulation of an unsignalized intersection {Dadour and Una-Jahu, Nerchowk Rd. (NH-21),H.P} will be analyzed and will compare them on the basis of vehicular delays and long queues. These three simulation will be analyzed on the basis of real world traffic data which is less from the expectations due to the pandemic covid-19, theoretical traffic data (increase in real data by 30%) and theoretical traffic data {with traffic signals as theoretical data follows warrant 1 (Min. Vehicular Volume) shown in IRC:93:1985}. Result showed that with increase in vehicular data there was not so much variation in vehicular delays, whereas there was an increase in long queues or queue stops and whilst third simulation (with traffic lights) is done it shows that it overcomes the queue stops of the intersection. © 2022, Springer Nature Singapore Pte Ltd.

5.
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems ; 29(06):921-947, 2021.
Article in English | Web of Science | ID: covidwho-1582963

ABSTRACT

Currently, the entire world is fighting against the Corona Virus (COVID-19). As of now, more than thirty lacs of people all over the world were died due to the COVID-19 till April 2021. A recent study conducted by China suggests that Chest CT and X-ray images can be used as a preliminary test for COVID detection. This paper propose a transfer learning-based mathematical COVID detection model, which integrates a pre-trained model with the Random Forest Tree (RFT) classifier. As the available COVID dataset is noisy and imbalanced so Principal Component Analysis (PCA) and Generative Adversarial Networks (GANs) is used to extract most prominent features and balance the dataset respectively. The Bayesian Cross-Entropy Loss function is used to penalize the false detection differently according to the class sensitivity (i.e., COVID patient should not be classified as Normal or Pneumonia class). Due to the small dataset, a pre-trained model like VGGNet-19, ResNet50 and Inception_ResNet_V2 were chosen to extract features and then trained them over the RFT for the classification task. The experiment results showed that ResNet50 gives the maximum accuracy of 99.51%, 98.21%, and 97.2% for training, validation, and testing phases, respectively, and none of the COVID Chest X-ray images were classified as Normal or Pneumonia classes.

6.
Blood ; 138:777, 2021.
Article in English | EMBASE | ID: covidwho-1582164

ABSTRACT

BACKGROUND. COVID-19 is a prothrombotic disease, characterized by endotheliopathy, hypercoagulability, and thromboembolic complications. We hypothesized that the pathogenesis of thromboembolism associated with COVID-19 might differ from thromboembolism in patients without COVID-19. In this study, we sought to evaluate the proteomic signatures of plasma from patients with venous thromboembolism with and without COVID-19. METHODS. Between December 17, 2020 and February 25, 2021 blood was collected from 48 hospitalized patients. Of these 24 had a confirmed diagnosis of COVID-19 infection (COVID+) and radiologic confirmation of arterial or venous thromboembolism (TE+);17 had COVID-19 infection with absence of arterial thrombosis clinically and absence of venous thromboembolism on lower extremity Doppler ultrasound or chest CT angiography (COVID+/TE-), while 7 were arterial or venous thromboembolism in the absence of COVID-19 (COVID-/TE+). Blood was collected in sodium citrate tubes and centrifuged at 4000 rpm for 20 minutes, with resulting plasma supernatant used for protein profiling performed at Eve Technologies (Calgary, Alberta, Canada). Institutional Review Board approval was obtained for this study. Statistical analysis was performed using GraphPad Prism (v9.1, GraphPad Software, San Diego, CA) and R (v4, R Core Team). P values <0.05 were considered statistically significant. A heatmap was generated using Heatmapper (heatmapper.ca) to represent the concentrations of proteins. RESULTS. The median age was 63 years;overall 25 (52%) were men (13 [54%] among COVID+/TE+, 11 [65%] among COVID+/TE-, and 1 [14%] among COVID-/TE+). In COVID-19 patients who developed thromboembolic events, several proteins associated with inflammation, complement activation, and hemostasis were present at higher levels than in non-COVID-19 patients who developed thromboembolic events (Fig. 1). These included complement factors C2 and C5a, pentraxin-3 (PTX-3), lipocalin-2 (LCN2), resistin (RETN), platelet endothelial cell adhesion molecule-1 (Pecam1), serum amyloid A (SAA), and tissue factor (TF). The heatmap indicates relative protein levels detected in each subject (columns) for proteins (rows) that had statistically significant differences between groups (Fig. 2). Heatmap revealed relatively lower levels of all proteins in patients with thromboembolism without COVID-19 and relatively higher levels of proteins in patients with COVID-19, and especially in ICU patients with COVID-19 and thromboembolism. CONCLUSIONS. Thromboembolic complications in patients with COVID-19 are associated with increased levels of various proteins involved in complement activation and immunothrombotic cascades, compared to thrombotic events in the absence of COVID-19. Activation of the classical complement pathway as evidenced by a relative increase in complement factor C2 may lead to increased TF activation, reflecting more substantial endothelial damage in COVID-19 patients. Higher levels of Pecam1, SAA, LCN2, and RETN all point to increased endotheliopathy, inflammation, and tissue damage in COVID-19 compared to non-COVID-19 thrombosis. These findings may offer insights into novel therapeutic strategies to treat immunothrombotic complications of COVID-19. [Formula presented] Disclosures: No relevant conflicts of interest to declare.

7.
International Journal of Early Childhood Special Education ; 13(2):1013-1020, 2021.
Article in English | Web of Science | ID: covidwho-1579775

ABSTRACT

The deadly infectious disease Coronavirus, also known as Covid19, has had a profound impact on the global economy. This tragedy is also being staged in the education community, and this concern is likely to resonate in the global education community. The outbreak of the Covid19 pandemic forced several schools and universities to close quickly. Various elements on the earth are affected, and there are issues that may surface for a full semester, or other issues that will be lost in the future. Flexibility is another attractive aspect of online learning;students can arrange their own or arrange time to apply for courses online. Face-to-face meetings combine with technology to form a combined learning and recovery classroom;this learning environment will increase the learning potential of students. Students can learn anytime, anywhere, and develop new skills in the way they ultimately learn from the grave. Government also recognizes that online learning is increasingly essential in this dynamic world. The severe emergence of the new crown virus could create another argument for upgrading, as this altitude can be a problem in times of crisis.

8.
Journal of Acute Disease ; 10(6):252-257, 2021.
Article in English | Web of Science | ID: covidwho-1572741

ABSTRACT

Objectives: To determine COVID-19 mortality and its risk factors in hospitalized patients at of a tertiary care center in north India.<br>Methods: A retrospective observational study was conducted of patients who were hospitalized from May 2020 to January 2021. The in-hospital mortality was assessed, and demographic variables and comorbidities between COVID-19 deaths and survivors were compared.<br>Results: A total of 24 000 patients were admitted during the study period, among which 17 000 had shown positive results of the RT-PCR test for COVID-19. The total mortality was 329 patients (1.37%), among which 232 (70.52%) succumbed due to COVID-19, and 97 (29.48%) died due to other illnesses. The mean age of the patients was (64.09 & PLUSMN;16.99) years. The mean age was significantly higher in COVID-19 related deaths [(67.63 & PLUSMN;13.78) years] as compared to that of the survivors [(60.52 & PLUSMN;19.5) years] (P < 0.001). Compared to COVID-19 survivors, there were more males (72.41% v.s. 61.5%) and less females (27.59% v.s. 38.5%) in COVID-19 related deaths (P=0.001). Comorbidities such as hypertension, diabetes mellitus, and chronic kidney disease showed a significant correlation with COVID-19 mortality with an adjusted odds ratio of 2.389 (95% CI: 1.465-2.982), 3.891 (95% CI: 2.059-5.392), and 6.358 (95% CI: 5.675-10.564), respectively.<br>Conclusions: Elderly males with comorbidities have higher risk for mortality related to COVID-19. Ongoing vaccination drive is rightfully prioritised to serve the high-risk category first.

10.
Pediatric Diabetes ; 22(SUPPL 30):79, 2021.
Article in English | EMBASE | ID: covidwho-1571004

ABSTRACT

Introduction: The COVID-19 pandemic highlighted poor engagement with home uploading to the Diasend platform among the paediatric diabetes population at Darent Valley Hospital, UK. The repercussions of this became apparent when in-person appointments were switched to telephone consultations, meaning that clinic staff were unable to review patients' blood glucose trends and provide management advice. Thus, it became more pertinent than ever to ensure patients and their parents were engaging with home uploads. Consequently, a quality improvement project was necessary to identify how home uploading could be improved, which was conducted as part of a medical student-led project at King's College London. Objectives: To increase the number of blood glucose readings uploaded to Diasend from a baseline of 2 uploads per week to a target of 15 uploads a week between October 2020 and February 2021. Methods: A questionnaire was used to identify the barriers to uploading data to Diasend. Thematic analysis highlighted the most relevant themes which formed the basis of the plan-do-study-act (PDSA) cycles that drove the quality improvement methods. In PDSA1, an educational email containing information about how to upload blood glucose readings to Diasend was sent to patients. In PDSA2, email reminders were sent out to patients on a weekly basis for 6 weeks. Results: The number of uploads in each week was greater than the median baseline of 2 uploads per week. Our aim of 15 uploads per week was achieved during week 10;this was sustained for the remaining 2 weeks of the project. Finally, PDSA2 had a greater number of total uploads compared to PDSA1, with 92 uploads versus 45 uploads respectively. Conclusions: The clear synergistic effect of the changes implemented in the PDSA cycles were likely pivotal in promoting positive behavioural changes. Empowering patients and carers to be more active in their diabetes management will improve patient-centred care and reduce future hospital admissions.

11.
Agricultural Economics ; : 18, 2021.
Article in English | Web of Science | ID: covidwho-1561571

ABSTRACT

Swift response models are vital tools for emergency assistance agencies. The COVID-19 pandemic revealed the lack of economic models for short-run policy relevant research to anticipate local impacts and design effective policy responses. The most direct effects of the pandemic and lockdown tended to be concentrated in urban areas;however, markets quickly transmitted impacts to rural areas as well as among poor and non-poor households. General equilibrium modeling is a tool of choice to capture indirect, spillover effects of exogenous shocks. This article describes an unusual micro general-equilibrium (GE) modeling approach that we developed to quickly simulate impacts of the pandemic and lockdowns on poor and non-poor rural and urban households across sub-Saharan Africa. Monte Carlo bootstrapping was used to construct four stylized regional GE models from 34 existing local economy-wide impact evaluation (LEWIE) models. Simulations revealed that the pandemic and policy responses to curtail its spread were likely to affect rural households at least as severely as urban households. Simulated income losses are greater in poor households in both urban and rural settings. These findings are relatively consistent across models spanning sub-Saharan Africa. Because COVID-19 impacts are so far-reaching, all types of economies experience downturns. Our research underlines the importance of modeling assumptions. We find total annualized impacts of around a 6-percent loss of GDP, smaller than estimates from single-country models that ignore price effects, such as SAM-multiplier models, but in line with The World Bank's baseline forecast of a 5.2% contraction in global GDP in 2020. The largest negative impacts are on poor rural households.

12.
International Journal of Academic Medicine ; 7(3):156-+, 2021.
Article in English | Web of Science | ID: covidwho-1551710

ABSTRACT

Introduction: In this COVID-19 epidemic, most of the countries are facing issues regarding health care from the points of management, academic, and treatment. Online medical education as an alternate source has been utilized, but it entails certain solutions to the problems encountered in this new methodology of medical education. The study was conducted to enhance the knowledge about the barriers and the concurrent solutions and help improve online medical education in COVID era.Materials and Methods: A prospective, cross-sectional study was conducted on 336 undergraduate medical students 61 medical faculty members of ABVMS, Jammu. The two online intake forms in the form of a voluntary, self-administered questionnaires were used to collect the data;whose link was made active from May 15, 2020, to May 30, 2020. The questionnaire was designed with 10 questions for faculty and 7 for students. The questions encompassed different subjects related to their preferences and perception of online learning. The data were entered in MS Excel and analyzed using the SPSS software version 20.0. P <0.05 was considered statistically significant.Results: The medical faculty perceived online class discussions and assessments of the students as difficult barriers (27.87% and 40.99%, respectively) and access to books/images for teaching and lectures making and delivering as easy (50.82% and 52.46%, respectively). The students felt that the ease of theoretical learning was best with downloadable AV lectures (54.46%). A total of 48.15% students and 31.15% faculty members supported the use of online education in future (P < 0.0001).Conclusion: The coronavirus pandemic appears to be an inflection point that is forcing disruption in how we teach medicine. While in the midst of this COVID-19 crisis, the medical faculty and the students are willing for a favorable change from offline to online medical education in view of an online instructional support/training, and infrastructural change.The following core competencies are addressed in this article: Interpersonal and communication skills, Practice-based learning and improvement.

14.
3rd International Conference on Smart IoT Systems: Innovations and Computing, SSIC 2021 ; 238:271-280, 2022.
Article in English | Scopus | ID: covidwho-1549382

ABSTRACT

In India, thousands of suspected cases have been tested positive of corona virus resulting in more than 10 M confirmed corona virus cases. The newspaper played a vital role in supplementing abundant and accurate information through corona-related articles. This research paper presents a detailed analysis toward the rising coverage of COVID-19 and its related terms aiming at newspapers like “THE HINDU” using the base technology text mining. The PDFs of the newspaper are extracted through automation and converted to text files free from any ambiguous characters. The graphs are plotted for data visualization depicting the percentage coverage of COVID-19-related words and lines from March 2020 to July 2020 in the newspaper. The objective is that the given idea can be employed on various such topics and provide us refined information that can be easily used or represented graphically. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

15.
Computer Applications in Engineering Education ; : 20, 2021.
Article in English | Web of Science | ID: covidwho-1536120

ABSTRACT

Audience Response Systems like clickers are gaining much attention for early identification of at-risk students as quality education, student success rate and retention are major concerning areas, as evidenced in this COVID scenario. Usage of this active learning strategy across the varying strength of classrooms are found to be much effective in retaining the attention, retention and learning power of the students. However, implementing clickers for large classrooms incur overhead costs on instructor's part. As a result, educational researchers are experimenting with various lightweight alternatives. This paper discusses one such alternative: lightweight formative assessments for blended learning environments. It discusses their implementation and effectiveness in early identification of at-risk students. This study validates the usage of lightweight assessments for three core pedagogically different courses of large computer science engineering classrooms. It uses voting ensemble classifier for effective predictions. With the usage of lightweight assessments in early identification of at-risk students, accuracy range of 87%-94.7% have been achieved along-with high ROC-AUC values. The study also proposes the generalized pedagogical architecture for fitting in these lightweight assessments within the course curriculum of pedagogically different courses. With the constructive outcomes, the light-weight assessments seem to be promising for efficient handling of scaling technical classrooms.

16.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; : 8158-8162, 2021.
Article in English | Web of Science | ID: covidwho-1532693

ABSTRACT

COVID-19 pandemic spreaded across the world in early 2020. It forced many countries to impose lockdown to prevent surge in the number of infected cases. There has been a huge impact on social and economic activities worldwide. In this work, we carry out the functional modeling of COVID-19 infection trends using two models: the Gaussian mixture model (GMM) and the composite logistic growth model (CLGM). Unlike the traditional SIRD models that use numerical data fitting, we utilize the best data-fitted curves employing GMM and/or CLGM to construct the Susceptible-Infected-Recovered-Dead (SIRD) pandemic model. Further, we derive the explicit expressions of time-varying parameters of the SIRD model unlike most works that consider static parameters without any closed form solution. The proposed parameterized dynamic SIRD model is generically applicable to any pandemic, can capture the day-to-day dynamics of the pandemic and can assist the governing bodies in devising efficient action plans to deal with the prevailing pandemic.

17.
Journal of the Association of Physicians of India ; 69(10):11-12, 2021.
Article in English | MEDLINE | ID: covidwho-1525118
18.
Journal of Datta Meghe Institute of Medical Sciences University ; 16(2):413-415, 2021.
Article in English | Scopus | ID: covidwho-1518686

ABSTRACT

In 2019, number of cases diagnosed with coronavirus pneumonia aroused in China. Number of studies were done that showed clinical characteristics of this disease. The aim of this brief informative draft is to summarize the clinical features, virulence, transmission, and various treatment modalities for the treatment of the disease. Also the various protective measures for the general population and health care professionals to prevent the growing pandemicity and control the outbreak of the condition. © 2021 Wolters Kluwer Medknow Publications. All rights reserved.

19.
Hepatology ; 74(SUPPL 1):331A-332A, 2021.
Article in English | EMBASE | ID: covidwho-1508707

ABSTRACT

Background: COVID 19 pandemic has affected the healthcare system worldwide and Liver transplantation(LT) has been no exception. Live Donor Liver Transplantation(LDLT) during the COVID 19 pandemic has been controversial in terms of donor and recipient safety and the risk of infection with COVID 19 . The study was done to assess the safety and outcomes of LDLT during COVID 19 pandemic. Methods: Retrospective analysis of patients undergoing LT during COVID 19 pandemic was done . Preoperative characteristics and post operative outcomes, complications and survival was noted. Results: A total of 94 patients underwent LT since the beginning of COVID pandemic out of which 87(92.5 %) were LDLT out of which 71 were adults and 16 were paediatric recipients. The mean age of the patients was 38.4 years (6 months - 66 years) with an average Model for End stage Liver Disease (MELD Na) score of 25.3, with chronic liver disease(CLD) being the most common indication for LT(74%) and ethanol being the most common etiology for liver disease(31%). The rate of major complications (Grade III/IV Clavein Dindo classification) was 27.6% and the mortality rate in LDLT for CLD, Acute on chronic liver failure (ACLF) and Acute liver failure (ALF) was 4.2%, 11.1% and 38.5% respectively. There was only 1(1.1%) recipient who developed COVID 19 infection in the post operative period. The donors had a complication rate of 4.5 % and 0 mortality with there being no episode of COVID 19 infection in the perioperative period in the donors. There were 5 recipients and 2 donors who underwent LDLT and donor hepatectomy after recovering from COVID 19 infection. The rate of complication, hospital stay, day of extubation were similar to patients without history of COVID 19 infection. There was a 65 % decrease in the LT activity during the first wave of COVID 19 infection as compared to the average in previous years whereas after the end of the first wave, there was a 24% increase in the LT activity in that period as compared to previous years. Conclusion: For patients undergoing LDLT during COVID 19 pandemic, the complication rate and overall survival was comparable to the pre COVID era. The rate of COVID 19 infection in the perioperative period was minimal. With proper screening of the patients and following of COVID 19 protocols, LDLT is safe in COVID 19 era and must be continued.

20.
1st International Conference on Future Technologies in Manufacturing, Automation, Design and Energy, ICoFT 2020 ; : 599-606, 2022.
Article in English | Scopus | ID: covidwho-1499397

ABSTRACT

Ventilators are one of the most important and complex devices in the intensive care unit (ICU). These devices are used to handle the patients in critical conditions like lungs collapse, comma, transplant surgeries, etc. But due to COVID-19 pandemic, there is a very large need of the ventilators. This paper focuses on the development of a prototype of portable ventilators with remote control. These ventilators are based on the slider-crank mechanism operated remotely as well as manually. The slider-crank mechanism compresses resuscitator (AMBU bag) and delivers the compressed air to lungs through a pipe and face mask. These ventilators are capable of controlling breath per minute (BPM) and Tidal volume (volume of the oxygen compulsory in the lungs). The range of BPM can be controlled 10-45 BPM where deliverable tidal volume is 250–750 mL. To deliver the contactless treatment to a patient and save the doctor from the disease transmission, we have developed the android application to operate ventilator remotely. Arduino-based Wi-Fi controller is used to create control over BPM. Wi-Fi controller integrates the mobile application with ventilators to establish remote and contactless control. There is the provision of emergency cut-off in antagonistic condition. The overall cost of the prototyping is only 4000 INR and can be assembled within minutes on an assembly line. Because of the ventilator’s compact size and light weight it can be used in remote locations and ambulances. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

SELECTION OF CITATIONS
SEARCH DETAIL
...