• A review of deep learning-based detection methods for COVID-19 

      Subramanian, N.; Elharrouss, O.; Al-Maadeed, Somaya; Chowdhury, M. ( 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) ...
    • ArCov-19: The First Arabic COVID-19 Twitter Database with Propagation Networks 

      Haouari, Fatima; Hasanain, Maram; Suwaileh, Reem; Elsayed, Tamer ( Cornel University , 2020 , Article  &   Video)
      In this paper, we present ArCOV-19, an Arabic COVID-19 Twitter dataset that covers the period from 27th of January till 31st of March 2020. ArCOV-19 is the first publicly-available Arabic Twitter dataset covering COVID-19 ...
    • Doing interprofessional research in the COVID-19 era: a discussion paper 

      Sy, Michael; O'Leary, Noreen; Nagraj, Shobhana; El-Awaisi, Alla; O'Carroll, Veronica; ... more authors ( Taylor and Francis Ltd. , 2020 , Article)
      The COVID-19 pandemic, and ensuing physical distancing measures, poses challenges for researchers in the field of interprofessional care. Pandemic management has highlighted the centrality of interprofessional working to ...