COVID-19 Research: Recent submissions
Now showing items 321-340 of 822
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Sickness absenteeism among primary health care workers in Qatar before and during the COVID-19 pandemic
( BioMed Central Ltd , 2023 , Article)Objectives: To explore the patterns, trends, nature, and extent of changes in sickness absence among health care workers (HCWs) at the Primary Health Care Corporation (PHCC) in Qatar-during the COVID-19 pandemic compared ... -
Greater traditionalism predicts COVID-19 precautionary behaviors across 27 societies
( Nature Research , 2023 , Article)People vary both in their embrace of their society's traditions, and in their perception of hazards as salient and necessitating a response. Over evolutionary time, traditions have offered avenues for addressing hazards, ... -
Exploring the Potential Medicinal Benefits of Ganoderma lucidum: From Metabolic Disorders to Coronavirus Infections
( MDPI , 2023 , Article)Ganoderma lucidum is a medicinal mushroom that has been traditionally used in Chinese medicine for centuries. It has been found to have a wide range of medicinal properties, including antioxidant, anti-inflammatory, and ... -
Effectiveness of influenza vaccination against SARS-CoV-2 infection among healthcare workers in Qatar
( Elsevier , 2023 , Article)BackgroundSome studies have reported that influenza vaccination is associated with lower risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and/or coronavirus disease 2019 (COVID-19) morbidity ... -
Experiences of burnout, anxiety, and empathy among health profession students in Qatar University during the COVID-19 pandemic: a cross-sectional study
( springer link , 2023 , Article)Background: The prevalence of burnout and anxiety is constantly increasing among health profession students worldwide. This study evaluates the prevalence of burnout and its relationship to anxiety and empathy during the ... -
Rebuilding Education—Contributions to STEM Education Practices and Research during the Post-COVID-19 Era
( MDPI , 2023 , Other)COVID-19 resulted in an unprecedented transformation in the context of learning and teaching, wherein a significant shift in the different realms of educational attainment was observed [1]. This Special Issue in Sustainability, ... -
Airline effective operations strategy during COVID-19 pandemic: across regional worldwide survey
( Emerald Publishing , 2021 , Article)Purpose: This study aims to identify the effective operational strategies for airlines in a pandemic that allow them to recover and bounce back smoothly. Design/methodology/approach: This study adopted quantitative methodology ... -
The COVID-19 pandemic and the case of Little Birds Kindergarten in Qatar: strategic challenges and the role of leadership
( Emerald Publishing Limited , 2022 , Article)Learning outcomes The aim of this study is to make students understand the significance of strategy formulation and the impact of internal and external factors on the strategy adopted by the firm. Upon the completion of ... -
A qualitative assessment of medical students’ readiness for virtual clerkships at a Qatari university during the COVID-19 pandemic
( Springer Nature , 2023 , Article)Background: This study aims to qualitatively examine the readiness of medical students to change to virtual clerkship (VC) during the pandemic, from both the faculty and students’ perspectives. Methods: A qualitative study ... -
Dynamics of Anti-S IgG Antibodies Titers after the Second Dose of COVID-19 Vaccines in the Manual and Craft Worker Population of Qatar
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)There is limited seroepidemiological evidence on the magnitude and long-term durability of antibody titers of mRNA and non-mRNA vaccines in the Qatari population. This study was conducted to generate evidence on long-term ... -
Association between Multimorbidity and COVID-19 Mortality in Qatar: A Cross-Sectional Study
( PagePress , 2023 , Article)This study assessed the association between multimorbidity and mortality from COVID-19 in the Middle East and North Africa region, where such data are scarce. We conducted a cross-sectional study using data of all cases ... -
An Adjuvanted Inactivated SARS-CoV-2 Microparticulate Vaccine Delivered Using Microneedles Induces a Robust Immune Response in Vaccinated Mice
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)SARS-CoV-2, the causal agent of COVID-19, is a contagious respiratory virus that frequently mutates, giving rise to variant strains and leading to reduced vaccine efficacy against the variants. Frequent vaccination against ... -
RELIABLE COVID-19 DETECTION USING CHEST X-RAY IMAGES
( IEEE Computer Society , 2021 , Conference Paper)Coronavirus disease 2019 (COVID-19) has emerged the need for computer-aided diagnosis with automatic, accurate, and fast algorithms. Recent studies have applied Machine Learning algorithms for COVID-19 diagnosis over chest ... -
COVID-19 infection map generation and detection from chest X-ray images
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep ... -
Case Study of Multi-Course Project-Based Learning and Online Assessment in Electrical Engineering Courses during COVID-19 Pandemic
( MDPI , 2022 , Article)Due to the COVID-19 pandemic, there was an urgent need to move to online teaching and develop innovative teaching techniques to ensure that student learning outcomes (SOs) were fulfilled. This paper tries to answer the ... -
OSEGNET: OPERATIONAL SEGMENTATION NETWORK FOR COVID-19 DETECTION USING CHEST X-RAY IMAGES
( IEEE , 2022 , Conference Paper)Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images. However, most of the earlier studies used Deep Learning models over scarce datasets ... -
Prognostic Model of ICU Admission Risk in Patients with COVID-19 Infection Using Machine Learning
( MDPI , 2022 , Article)With the onset of the COVID-19 pandemic, the number of critically sick patients in intensive care units (ICUs) has increased worldwide, putting a burden on ICUs. Early prediction of ICU requirement is crucial for efficient ... -
A comprehensive review of COVID-19 detection techniques: From laboratory systems to wearable devices
( Elsevier , 2022 , Article Review)Screening of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among symptomatic and asymptomatic patients offers unique opportunities for curtailing the transmission of novel coronavirus disease 2019, commonly ... -
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data
( Elsevier , 2022 , Article)While the advanced diagnostic tools and healthcare management protocols have been struggling to contain the COVID-19 pandemic, the spread of the contagious viral pathogen before the symptom onset acted as the Achilles' ... -
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
( Springer Science and Business Media Deutschland GmbH , 2022 , Article)The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods ...