ABSTRACT
Alzheimer's disease (AD) is a multifactorial neurodegenerative disease affected by multiple elements such as exercise, food, and social stimulation. Research has demonstrated the positive effects of exercise such as community-based programs and aerobic activities in reducing rates of decline in cognition. Another protective measure is avoiding red meat and alcohol and instead incorporating a Mediterranean diet to reduce inflammation and inhibit free radicals. Finally, social stimulation can serve to reduce the progression of the disease by increasing a sense of connection and meaningful purpose. COVID-19 has made it difficult for AD patients, especially those living in nursing homes or advanced facilities, to participate in exercise classes due to restrictions, to eat a fresh diet due to resource shortages, and to see friends and family due to social distancing. This chapter delves into the effects of COVID-19 on elements such as physical activity, diet, and social interaction on the disease progression of AD. © 2023 Elsevier Inc. All rights reserved.
ABSTRACT
The sustainable development of natural resources along with interconnected crises of climate change, economic recession, food insecurity, increasing fuel consumption, and inflation in commodity prices have become hot burninign issue from last few decades, which have the greatest and most devastating impact on society's poor families. The theme of this chapter is to focus on the global issues of sustainable development, including knowledge of the interconnected crises in climate, energy, economy, poverty, and social injustice. This book chapter examines how practical science can be applied to real-world conservation and development problems to interpret natural resource management for those who must manage complex natural resource systems. It includes a significantly extended discussion of ecosystem assessment in which poverty, education, tradiation and other factors remains central concern to sustainable development. Finding solutions to and prevention of these crises necessitate interconnected and interdisciplinary thinking, which is also at the heart of sustainable development. The chapter takes a fresh look at the problem of attaining lower-carbon growth, climate adaptation, and the consequences for the long-term development of rapidly expanding economies. It investigates how these concerns are prompting serious reconsideration of what sustainable development is, what it should be, and how sustainable development policies and processes are being reassessed. It provides a concise, well-illustrated, and understandable introduction to the challenges and prospects of sustainable development, with a focus on developing countries. © 2023 Elsevier Inc. All rights reserved.
ABSTRACT
Introduction Covid‐19 is linked with the development of cardio‐metabolic disorders, including dyslipidemia, dysregulation of high‐density lipoprotein (HDL), and low‐density lipoprotein (LDL). Furthermore, SARS‐Co‐2 infection is associated with noteworthy changes in lipid profile, which is suggested as a possible biomarker to support the diagnosis and management of Covid‐19. Methods This paper adopts the literature review method to obtain information about how Covid‐19 affects high‐risk group patients and may cause severe and critical effects due to the development of acute lung injury and acute respiratory distress syndrome. A narrative and comprehensive review is presented. Results Reducing HDL in Covid‐19 is connected to the disease severity and poor clinical outcomes, suggesting that high HDL serum levels could benefit Covid‐19. SARS‐CoV‐2 binds HDL, and this complex is attached to the co‐localized receptors, facilitating viral entry. Therefore, SARS‐CoV‐2 infection may induce the development of dysfunctional HDL through different mechanisms, including induction of inflammatory and oxidative stress with activation of inflammatory signaling pathways. In turn, the induction of dysfunctional HDL induces the activation of inflammatory signaling pathways and oxidative stress, increasing Covid‐19 severity. Conclusions Covid‐19 is linked with the development of cardio‐metabolic disorders, including dyslipidemia in general and dysregulation of high‐density lipoprotein and low‐density lipoprotein. Therefore, the present study aimed to overview the causal relationship between dysfunctional high‐density lipoprotein and Covid‐19. While Covid‐19 is linked with the development of cardio‐metabolic disorders, including dyslipidemia and dysregulation of high‐density lipoprotein and low‐density lipoprotein, this study aimed to overview the causal relationship between dysfunctional high‐density lipoprotein and Covid‐19.
ABSTRACT
Coronavirus disease 2019 (Covid‐19) is caused by a novel severe acute respiratory syndrome coronavirus virus type 2 (SARS‐CoV‐2) leading to the global pandemic worldwide. Systemic complications in Covid‐19 are mainly related to the direct SARS‐CoV‐2 cytopathic effects, associated hyperinflammation, hypercytokinemia, and the development of cytokine storm (CS). As well, Covid‐19 complications are developed due to the propagation of oxidative and thrombotic events which may progress to a severe state called oxidative storm and thrombotic storm (TS), respectively. In addition, inflammatory and lipid storms are also developed in Covid‐19 due to the activation of inflammatory cells and the release of bioactive lipids correspondingly. Therefore, the present narrative review aimed to elucidate the interrelated relationship between different storm types in Covid‐19 and the development of the mixed storm (MS). In conclusion, SARS‐CoV‐2 infection induces various storm types including CS, inflammatory storm, lipid storm, TS and oxidative storm. These storms are not developing alone since there is a close relationship between them. Therefore, the MS seems to be more appropriate to be related to severe Covid‐19 than CS, since it develops in Covid‐19 due to the intricate interface between reactive oxygen species, proinflammatory cytokines, complement activation, coagulation disorders, and activated inflammatory signaling pathway. SARS‐CoV‐2 infection induces various storm types including cytokine storm (CS), inflammatory storm, lipid storm, thrombotic storm (TS), and oxidative storm. These storms are not developing alone since there is a close relationship between them. Therefore, the mixed storm seems to be more appropriate to be related to severe Covid‐19 than CS, since it develops in Covid‐19 due to the intricate interface between reactive oxygen species, proinflammatory cytokines, complement activation, coagulation disorders, and activated inflammatory signaling pathway
ABSTRACT
Background: The COVID-19 pandemic is an unprecedented international health crisis, which has invoked massive consequence on healthcare workers' mental health and wellbeing. This study aimed to detect the prevalence of anxiety, depression, and burnout among house officers amid the COVID-19 pandemic in Egypt to assess the effect of this pandemic on their mental health. Results: A total of 254 house officers were included in this study, and their responses were analyzed. Anxiety, burnout, and depression were reported among 35%, 32%, and 22% of participants, respectively. Multivariate regression analysis found that higher levels of overall worry were associated with anxiety, but not depression or burnout. Having a good personal protective equipment attitude was a significant predictor of both anxiety and burnout. Participants with depression had a higher likelihood of also having a burnout, but a lower likelihood of having anxiety. Overall worry related to the pandemic, depression, and clinical burnout status were all significantly associated with anxiety. Conclusions: The study found that anxiety, depression, and burnout are highly prevalent among house officers, who are newly graduated medical professionals. These findings suggest the need for specific programs to address the wellbeing of these individuals during the COVID-19 pandemic. © 2023, The Author(s).
ABSTRACT
Background: Smoking is considered to be one of the main risk factors that may affect the severity of coronavirus disease 2019 (COVID-19). Previously, several meta-analyses with a limited or small sample size and insufficient methodology have been conducted investigating the impact of smoking on disease severity. Here, we use a more accurate method to identify the effect of smoking on COVID-19 disease severity. Methods: BMC, PubMed, Science Direct, Wiley, Springer, and Google Scholar websites were used to search for and select reliable articles to be included in the current analysis. Research articles that mentioned the relationship between smoking and COVID-19 severity were included. Results: Twenty-six research articles detailing 15, 713 confirmed COVID-19 cases comprising patients who smoke were selected to be included in this analysis. The analysis showed a relationship between smoking, severe COVID-19, and non-severe COVID-19 (OR=0:11;95%CI: 0.10-0.11;p<0.00001). Only 15% (2407) of the smokers suffered severe COVID-19, with the other 85% (13306) of smokers experiencing non-severe COVID-19. Conclusion: The current analysis found that only 15% of severe COVID-19 cases were smokers. Therefore, smoking is not significantly correlated with severe covid19. Copyright © 2023, Journal of Iranian Medical Council. All rights reserved. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
ABSTRACT
Lung segmentation algorithms play a significant role in segmenting theinfected regions in the lungs. This work aims to develop a computationally efficient and robust deep learning model for lung segmentation using chest computed tomography (CT) images with DeepLabV3 + networks for two-class (background and lung field) and four-class (ground-glass opacities, background, consolidation, and lung field). In this work, we investigate the performance of the DeepLabV3 + network with five pretrained networks: Xception, ResNet-18, Inception-ResNet-v2, MobileNet-v2 and ResNet-50. A publicly available database for COVID-19 that contains 750 chest CT images and corresponding pixel-labeled images are used to develop the deep learning model. The segmentation performance has been assessed using five performance measures: Intersection of Union (IoU), Weighted IoU, Balance F1 score, pixel accu-racy, and global accuracy. The experimental results of this work confirm that the DeepLabV3 + network with ResNet-18 and a batch size of 8 have a higher performance for two-class segmentation. DeepLabV3 + network coupled with ResNet-50 and a batch size of 16 yielded better results for four-class segmentation compared to other pretrained networks. Besides, the ResNet with a fewer number of layers is highly adequate for developing a more robust lung segmentation network with lesser computational complexity compared to the conventional DeepLabV3 + network with Xception. This present work proposes a unified DeepLabV3 + network to delineate the two and four different regions automatically using CT images for CoVID-19 patients. Our developed automated segmented model can be further developed to be used as a clinical diagnosis system for CoVID-19 as well as assist clinicians in providing an accurate second opinion CoVID-19 diagnosis.
ABSTRACT
PURPOSE: The COVID-19-induced effects of primary bladder cancer (BC) patients have not yet been clarified. The aim of this study was to investigate the effects of the pandemic on the diagnosis, treatment, and follow-up of primary BC patients. MATERIAL AND METHODS: A retrospective single-center analysis was made of all patients who underwent diagnostic and surgical procedures due to primary BC between November 2018 and July 2021. A total of 275 patients were identified and allocated to one of the groups: Pre-COVIDBC (BC diagnosed before the COVID-19 pandemic) or COVIDBC (during the pandemic). RESULTS: The BC patients diagnosed during the pandemic were mostly at higher stages (T2) (p = 0.04), the risk of non-muscle invasive BC (NMIBC) was higher (p = 0.02), and recurrence and progression scores were increased (p = 0.001) compared to patients diagnosed before the pandemic. The time to surgery from diagnosis (p = 0.001) and symptom duration (p = 0.04) were significantly prolonged during the pandemic and the rate of follow-up significantly decreased (p = 0.03). CONCLUSIONS: The study results highlight the significant increase in muscle invasive BC and the very high risk of NMIBC in patients presenting during the COVID-19 pandemic.
ANTECEDENTES: Los efectos inducidos por la COVID-19 en pacientes con cáncer de vejiga primario no están aclarados actualmente. OBJETIVO: Investigar los efectos de la pandemia en el diagnóstico, el tratamiento y el seguimiento del cáncer de vejiga primario. MÉTODO: Se realizó un análisis retrospectivo unicéntrico de todos los pacientes que se sometieron a procedimientos diagnósticos y quirúrgicos por cáncer primario de vejiga durante noviembre de 2018 y julio de 2021. Se incluyeron 275 pacientes en el estudio. Los pacientes fueron asignados a uno de dos grupos: pre-COVIDBC (antes de la pandemia) o COVIDBC (durante la pandemia). RESULTADOS: Los pacientes con cáncer de vejiga diagnosticados durante la pandemia se encontraban en su mayoría en estadios más altos (T2) (p = 0.04), el grupo de riesgo era más alto en el cáncer de vejiga no invasivo del músculo (p = 0.02), y la recurrencia y las puntuaciones de progresión aumentaron (p = 0.001) en comparación con antes del período pandémico. Además, el tiempo hasta la cirugía desde el diagnóstico (p = 0.001) y la duración de los síntomas (p = 0.04) aumentaron considerablemente durante la pandemia, y la tasa de seguimiento disminuyó significativamente (p = 0.03). CONCLUSIONES: Destaca el aumento significativo del cáncer de vejiga invasivo del músculo y del cáncer de vejiga no invasivo del músculo de muy alto riesgo durante la pandemia.
Subject(s)
COVID-19 , Urinary Bladder Neoplasms , Humans , Pandemics , Retrospective Studies , Neoplasm Staging , Neoplasm Recurrence, Local/diagnosis , COVID-19/epidemiology , Urinary Bladder Neoplasms/epidemiology , Urinary Bladder Neoplasms/therapy , Urinary Bladder Neoplasms/diagnosis , Neoplasm Invasiveness/pathologyABSTRACT
Coronavirus disease 2019 (Covid-19) is caused by a novel severe acute respiratory syndrome coronavirus virus type 2 (SARS-CoV-2) leading to the global pandemic worldwide. Systemic complications in Covid-19 are mainly related to the direct SARS-CoV-2 cytopathic effects, associated hyperinflammation, hypercytokinemia, and the development of cytokine storm (CS). As well, Covid-19 complications are developed due to the propagation of oxidative and thrombotic events which may progress to a severe state called oxidative storm and thrombotic storm (TS), respectively. In addition, inflammatory and lipid storms are also developed in Covid-19 due to the activation of inflammatory cells and the release of bioactive lipids correspondingly. Therefore, the present narrative review aimed to elucidate the interrelated relationship between different storm types in Covid-19 and the development of the mixed storm (MS). In conclusion, SARS-CoV-2 infection induces various storm types including CS, inflammatory storm, lipid storm, TS and oxidative storm. These storms are not developing alone since there is a close relationship between them. Therefore, the MS seems to be more appropriate to be related to severe Covid-19 than CS, since it develops in Covid-19 due to the intricate interface between reactive oxygen species, proinflammatory cytokines, complement activation, coagulation disorders, and activated inflammatory signaling pathway.
Subject(s)
COVID-19 , Thrombosis , Humans , SARS-CoV-2 , Cytokines/metabolism , Cytokine Release Syndrome , Thrombosis/etiology , LipidsABSTRACT
Background Information on infective endocarditis (IE) caused by the Streptococcus anginosus (S. anginosus) group is scarce. We present a case of IE with multiple splenic septic infarcts that was further complicated by renal involvement and osteomyelitis, caused by S. anginosus in a patient with diabetes. Case 58-year-old male with diabetes presented with fever and bilateral flank pain. His CT showed splenomegaly with multiple splenic infarctions and symmetric bilateral perinephric stranding indicative of nephritis. His Labs showed leukocytosis and two blood culture sets grew S.anginosus. Transesophageal echocardiogram confirmed vegetations on aortic valve (1.3 x 1.0 cm)(Image A, red arrow) and mitral valve (1.4 x 1.0 cm)(Image B, blue arrow). Lumbar spine MRI showed L2-3 vertebral osteomyelitis. [Formula presented] Decision-making Due to patient's normal oxygen saturation and clear lung auscultation and imaging, COVID-19 was ruled out. The etiology of his fever was diagnosed as S. anginosus IE, as evidenced by his vegetations and positive cultures. The patient started on IV antibiotics and IV fluids and was transferred to another facility to receive aortic and mitral bioprostheses. Conclusion This, to the best of our knowledge, is the first documented case of S. anginosus with splenic and renal involvement. The presence of multiple splenic infarcts in immunocompromised patients, in this case in someone with diabetes, should raise suspicion for the presence of vegetations and the diagnosis of S. anginosus IE.Copyright © 2023 American College of Cardiology Foundation
ABSTRACT
Introduction: The incidence of Tuberculosis(TB) is 4 times more in patients with Interstitial lung diseases(ILD). Active TB is considered as contraindication for lung transplant. We report a case of a patient with Idiopathic Pulmonary Fibrosis(IPF) with COVID 19 exacerbation who, while being bridged to transplant on ECMO, tested positive for Tuberculosis and underwent a bilateral lung transplantation. Case: 40 year old male, known case of IPF, admitted with severe COVID ARDS was evaluated and listed for Bilateral Lung transplantation. In view of acute deterioration, he was initiated on ECMO as a bridge to transplant. His Broncho Alveolar Lavage(BAL) showed AFB and CBNAAT confirmed Mycobacterium tuberculosis which was rifampicin sensitive. He was initiated on antitubercular drugs and subsequently underwent bilateral lung transplant. He was weaned off ECMO and his further BAL samples did not show evidence of M. Tb. He had a series of postoperative complications including Acute kidney injury, weaning failure and Acute coronary syndrome with LV dysfunction and eventually succumbed. Discussion(s): This case poses a unique ethical challenge of whether or not to proceed for transplant in patients who test positive for pulmonary tuberculosis while on waitlist and on ECMO as bridge to transplant. However, the unfavorable outcome of the transplant reinforces the available data that active tuberculosis is associated with high mortality in lung transplant. Further guidance is required to manage such patients to improve lung transplant survival rates, especially in TB endemic regions such as India.
ABSTRACT
This study aims to provide an overview of research related to ambulatory care centers by mapping its outputs. The methodology used in this research is a bibliometrics study based on the Scopus database from 2001 to 2020. The analysis was conducted using Harzing Publish and Perish and VOSviewer to generate visualization data. A total of 145 papers from the scientific database were analyzed. The results show that there is still a lack of research being conducted regarding ambulatory care centers, particularly on their potential for information dissemination and the prevention of COVID-19 cases. The analysis provides a new perspective on the concept of ambulatory care centers in healthcare management. Finally, the analysis identifies potential baseline research that can be established before initiating ambulatory care center research for future studies © 2022, Malaysian Journal of Public Health Medicine.All Rights Reserved.
ABSTRACT
Coronavirus disease 2019 (COVID-19) is a current pandemic disease caused by a novel severe acute respiratory syndrome coronavirus virus respiratory type 2 (SARS-CoV-2). SARS-CoV-2 infection is linked with various neurological manifestations due to cytokine-induced disruption of the blood brain barrier (BBB), neuroinflammation, and peripheral neuronal injury, or due to direct SARS-CoV-2 neurotropism. Of note, many repurposed agents were included in different therapeutic protocols in the management of COVID-19. These agents did not produce an effective therapeutic eradication of SARS-CoV-2, and continuing searching for novel anti-SARS-CoV-2 agents is a type of challenge nowadays. Therefore, this study aimed to review the potential anti-inflammatory and antioxidant effects of citicoline in the management of COVID-19.
Subject(s)
COVID-19 Drug Treatment , Humans , SARS-CoV-2 , Cytidine Diphosphate Choline , Pandemics , Blood-Brain BarrierABSTRACT
Background & objectives: The oropharyngeal (OP) and nasopharyngeal (NP) swab samples are the most recommended clinical specimens for detecting SARS-CoV-2 in an individual through the quantitative real-time reverse-transcriptase-polymerase chain reaction (rRT-PCR) method. The primary objective of this study was to compare the performance of NP and OP swabs for the diagnosis of COVID-19 among 2250 concomitant samples (1125 NP + 1125 OP) using rRT-PCR test. Methods: This study was conducted at a tertiary care hospital in southern India. The study compared the specificity and efficacy of the two samples (NP & OP swabs) in 1125 individuals suspected having COVID-19 infection. The rRT-PCR values from all the samples were compared based on gender, age group and viral load. The differences between unmatched proportion and matched proportion were analysed. Agreement between the two methods was assessed using Kappa statistic. Absolute sensitivity, specificity, positive and negative predictive values (PPV and NPV) for OP and NP swabs were analysed. Results: The study identified a fair degree of agreement between OP and NP swabs in diagnosis of COVID-19 (kappa = 0.275, P <0.001). There was also a fair degree of agreement between NP and OP swabs irrespective of gender, age or duration of symptoms. NP swabs had better sensitivity and NPV as compared to OP swabs, however, specificity and PPV were 100 per cent for both. Interpretation & conclusions: The present study showed that both OP and NP swabs had similar sensitivity and specificity for predicting the presence of SARS-CoV-2.
Subject(s)
COVID-19 , Humans , SARS-CoV-2 , Nasopharynx , Oropharynx , Real-Time Polymerase Chain ReactionABSTRACT
Coronavirus disease 2019 (Covid-19) is caused by severe acute respiratory syndrome type 2 (SARS-CoV-2). Covid-19 is characterized by hyperinflammation, oxidative stress, and multi-organ injury (MOI) such as acute lung injury (ALI) and acute respiratory distress syndrome (ARDS). Covid-19 is mainly presented with respiratory manifestations; however, extra-pulmonary manifestations may also occur. Extra-pulmonary manifestations of Covid-19 are numerous including: neurological, cardiovascular, renal, endocrine, and hematological complications. Notably, a cluster of differentiation 26 (CD26) or dipeptidyl peptidase-4 (DPP-4) emerged as a new receptor for entry of SARS-CoV-2. Therefore, DPP-4 inhibitors like sitagliptin could be effective in treating Covid-19. Hence, we aimed in the present critical review to assess the potential role of sitagliptin in Covid-19. DPP-4 inhibitors are effective against the increased severity of SARS-CoV-2 infections. Moreover, DPP-4 inhibitors inhibit the interaction between DPP-4 and scaffolding proteins which are essential for endosome formation and replication of SARS-CoV-2. Therefore, sitagliptin through attenuation of the inflammatory signaling pathway and augmentation of stromal-derived factor-1 (SDF-1) may decrease the pathogenesis of SARS-CoV-2 infection and could be a possible therapeutic modality in treating Covid-19 patients. In conclusion, the DPP-4 receptor is regarded as a potential receptor for the binding and entry of SARS-CoV-2. Inhibition of these receptors by the DPP-4 inhibitor, sitagliptin, can reduce the pathogenesis of the infection caused by SARS-CoV-2 and their associated activation of the inflammatory signaling pathways.
Subject(s)
COVID-19 Drug Treatment , Dipeptidyl-Peptidase IV Inhibitors , Humans , SARS-CoV-2 , Sitagliptin Phosphate/pharmacology , Sitagliptin Phosphate/therapeutic use , Dipeptidyl-Peptidase IV Inhibitors/pharmacology , Dipeptidyl-Peptidase IV Inhibitors/therapeutic use , LungABSTRACT
In this article, we introduce a numerical study for a spatio temporal bi-modal of covid-19 mathematical model. The temporal only model consists of a system of five ordinary differential equations and spatio-temporal model consists of a system of five partial differential equations in time and space. We will discuss the stability region to get good selection of parameters. Also, we will apply the effective method of centeral finite difference (CFD) and study stability and consistency of this scheme then we will discuss the graphical numerical results of the presented models and the behavior of this model. © 2022. NSP Natural Sciences Publishing Cor.
ABSTRACT
Online food delivery is the latest trend to hit the world. This trend has increased rapidly in recent years as a result of the COVID-19 pandemic, which struck at once changing the country’s economic landscape. Therefore, motorcycles and mobile phones with high data access and battery storage capacity are used mainly involving identifying the place of delivery. Due to the widespread and frequent use of cellular phones in tracking the position of food delivery then causing the cellular phone battery storage will be depleted and require recharging the phone which involves a long time. This in turn will cause delays in the food delivery procedure. The development of a Thermoelectric Generator system using the Internet of Things (IoT) for energy harvesting is very important. Given that the development method is based on the differential temperature on the exhaust chamber of the motorcycle and heatsink to solve the problem of charging a cellular phone on a motorcycle. The process of developing this system requires control over the voltage capacity as well as the ability to monitor it online through the Internet of Things system. The development of this system revealed that large temperature difference rates produce high electrical voltages to 10 V with power rates up to 206 mW. It also shows that the quantity of TEG will affect the rate of voltage increase and the value of power produced in direct proportion as the quantity of TEG increases. In conclusion, the benefits of temperature changes will generate reusable energy for daily use. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The sudden and prolonged disruption to learning caused by the COVID-19 pandemic has exposed the vulnerabilities of traditional higher education and revealed the need for a rapid transformation. Lessons from the pandemic have made it clear that the future of higher education will rely heavily on e-learning and the agility of institutions to seamlessly transition between face-to-face, blended/hybrid, and fully online learning. As institutions begin their post-pandemic planning, the online experiences of different groups of learners during the pandemic offer valuable insight into what is working and what isn’t. Consequently, this study explored the effect of gender and discipline (STEM/non-STEM) on students’ perceptions of (1) course design, (2) assessment, (3) student behavior, (4) instructor behavior, and (5) tools and technologies during forced online learning. Additionally, the researchers investigated the effect of gender and discipline on students’ overall satisfaction with remote learning and explored the influence of students’ perceptions on satisfaction. Study participants were 1, 825 undergraduates at eight universities in Qatar. Using the QLT evaluation rubric, the researchers adapted a 27-item survey to measure students’ perceptions of key aspects of quality online teaching and learning and to gauge overall satisfaction. Using a SEM approach, study results showed that (1) male students had more positive perceptions of instructor behavior, assessment, and tools and technologies compared to females, (2) males were more satisfied overall with their remote learning experiences, (3) students in STEM disciplines had significantly more negative perceptions of all the aspects of online learning explored in the study, (4) students in STEM disciplines were significantly less satisfied overall with remote learning, and (5) students’ perceptions of tools and technologies, assessment, and course design most influenced their overall satisfaction. This study also considers the unique cultural context in Qatar when interpreting results, particularly in regards to women. These findings have important implications for faculty development and post-pandemic planning in higher education in general and the Gulf in particular. © The Authors.
ABSTRACT
Background: COVID-19 has a significant impact on lives worldwide. Owing to the adverse effect of this pandemic, there has been a major shift from in-person learning activities to virtual learning. Different methods of virtual learning or e-learning, such as online classes and webinars, have emerged rapidly. Objective: The aim of this study is to identify the perceptions of healthcare professionals regarding e-learning during the COVID-19 pandemic. Methods: An online survey was conducted using Microsoft Forms sent via a text link to mobile phones and emails to healthcare professionals. The questionnaire had multiple-choice questions and five-point scaling to determine perceptions about virtual learning. Data in the form of responses were collected, analyzed, and summarized as mean ± standard deviation and percentage. Results: Responses were received from a total of 410 participants, out of which 240 (58.54%) were females, and 170 (41.46%) were males. Among all participants, 294 (71.71%) were doctors. A vast majority of participants (90%) attended online webinar/e-conferences since the pandemic. The mobile phone was the most commonly used device for e-learning. More than half of the participants opined that in-person meetings are more effective than virtual meetings. In terms of medical learning, 40.48% of participants believed that virtual conferences are more convenient compared to conventional in-person attendance. According to 42.2% of participants, lack of personal interaction in virtual meetings affected their ability to acquire knowledge and experience. Conclusion: Our survey demonstrated the acceptance of virtual learning by healthcare professionals as a new learning method. The majority of participants seem willing to adapt to this new medium. © 2022 Hamad et al.