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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 ...
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 ...
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. ...
A particle swarm optimization approach for predicting the number of COVID-19 deaths
(
Nature Research
, 2021 , Article)
The rapid spread of the COVID-19 pandemic has raised huge concerns about the prospect of a major health disaster that would result in a huge number of deaths. This anxiety was largely fueled by the fact that the severe ...
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 ...
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 ...
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 ...
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 ...
Blockchain for decentralized multi-drone to combat COVID-19 and future pandemics: Framework and proposed solutions
(
John Wiley and Sons Inc
, 2021 , Article)
Currently, drones represent a promising technology for combating Coronavirus disease 2019 (COVID-19) due to the transport of goods, medical supplies to a given target location in the quarantine areas experiencing an epidemic ...