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A review of deep learning-based detection methods for COVID-19
( Elsevier Ltd , 2022 , Article)COVID-19 is a fast-spreading pandemic, and early detection is crucial for stopping the spread of infection. Lung images are used in the detection of coronavirus infection. Chest X-ray (CXR) and computed tomography (CT) ... -
BEMD-3DCNN-based method for COVID-19 detection
( Elsevier Ltd , 2022 , Article)The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Therefore, from the first day of the identification of the virus in Wuhan, China, scientists have launched numerous research ... -
COVID-19 infection localization and severity grading from chest X-ray images
( Elsevier Ltd , 2021 , Article)The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 on pulmonary tissues, chest radiographic ... -
Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey
( Elsevier Ltd , 2022 , Article Review)Since the start of the COVID-19 pandemic, social distancing (SD) has played an essential role in controlling and slowing down the spread of the virus in smart cities. To ensure the respect of SD in public areas, visual SD ... -
The effect of the Covid-19 on sharing economy activities
( Elsevier Ltd , 2021 , Article)Activities within the sharing economy (SE) are in a precarious situation due to the Covid-19 pandemic. Even though the SE is considered a disruptive phenomenon, especially in the accommodation and transport sectors, the ... -
The impact of COVID-19 pandemic on electricity consumption and electricity demand forecasting accuracy: Empirical evidence from the state of Qatar
( Elsevier Ltd , 2022 , Article)The goal of this study is to use machine-learning (ML) techniques and empirical big data to examine the influence of the COVID-19 pandemic on electricity usage and electricity demand forecasting accuracy in buildings in ... -
Individual and network characteristic associated with hospital-acquired Middle East Respiratory Syndrome coronavirus
( Elsevier Ltd , 2019 , Article)Background: During outbreaks of infectious diseases, transmission of the pathogen can form networks of infected individuals connected either directly or indirectly. Methods: Network centrality metrics were used to characterize ... -
Laboratory testing efficiency during the COVID pandemic: Findings from the Primary Health Care Corporation laboratories in the State of Qatar
( Elsevier Ltd , 2024 , Article)Background Little is known about how the COVID-19 pandemic altered laboratory testing efficiency in the State of Qatar. The aim of this study was to assess laboratory testing efficiency with respect to the total number ... -
Modeling the SARS-CoV-2 parallel transmission dynamics: Asymptomatic and symptomatic pathways
( Elsevier Ltd , 2022 , Article)Asymptomatic transmission of the coronavirus disease and the infected individual prediction has become very important in the COVID-19 outbreak study. The asymptomatic and symptomatic transmission studies are still ongoing ... -
Transport impacts in Germany and State of Qatar: An assessment during the first wave of COVID-19
( Elsevier Ltd , 2022 , Article)Response measures to contain COVID-19 spread varied from country to country, some imposed a complete lockdown while some imposed partial restrictions. This paper compares the transport impacts of the COVID-19 pandemic for ...