COVID-19 Research
Recent Submissions
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The COVID-19 experience of orthodontists in Jordan
( Medknow Publications , 2023 , Article)OBJECTIVES: To understand the impact of the COVID-19 pandemic on orthodontic clinical services in Jordan. MATERIALS AND METHODS: Google Forms electronic questionnaires were distributed between March and June 2021 using the ... -
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, ... -
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 ... -
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 ... -
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 ... -
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 ... -
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' ... -
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 ... -
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 ... -
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 ... -
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)To assist policymakers in making adequate decisions to stop the spread of the COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance. This paper presents a deep learning approach to ... -
Consumer approach intentions amid COVID-19: the role of safety compliance and perceived risk
( Emerald , 2021 , Article)Purpose: This study aims to investigate how employee and other-consumer safety compliance amid the COVID-19 outbreak influences a focal consumer’s intention to approach a service establishment. The study also examines the ... -
Machine Learning Screening of COVID-19 Patients Based on X-ray Images for Imbalanced Classes
( IEEE , 2021 , Conference Paper)COVID-19 is a virus that has infected more than one hundred and fifty million people and caused more than three million deaths by 13th of Mai 2021 and is having a catastrophic effect on the world population's safety. ... -
Teachers' self-efficacy and online teaching during COVID-19 pandemic in qatari governmental schools
( Society for Research and Knowledge Management , 2021 , Article)This study investigated primary school teachers' self-efficacy beliefs regarding online teaching during the Covid-19 pandemic and whether it determines any significant differences in self-efficacy levels based on different ... -
Et-moone and marketing relationship governance: The effect of digital transformation and ICT during the COVID-19 pandemic
( Elsevier , 2021 , Article)This study aims to examine the drivers and impact of et-moone on relational governance within B2B relationships in the Arab Asian region. Building on commitment and trust theory, this study proposes how et-moone could be ... -
COVID-19: potential therapeutics for pediatric patients
( Springer , 2021 , Article Review)The global spread of COVID-19 has imparted significant economic, medical, and social burdens. Like adults, children are affected by this pandemic. However, milder clinical symptoms are often experienced by them. Only a ... -
Anticoagulation clinic drive-up service during COVID-19 pandemic in Qatar
( Springer , 2021 , Article)Coronavirus Disease 2019 (COVID-19) is a pandemic affecting many countries worldwide. Given the increasing incidence especially in elderly and individuals with comorbid conditions, it is advised by health authorities to ...
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