Browsing Computer Science & Engineering by Subject "pandemic"

Now showing items 1-6 of 6

    • A novel pandemic tracking map: From theory to implementation 

      Gouissem, Ala; Abualsaud, Khalid; Yaacoub, Elias; Khattab, Tamer; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      The wide spread of the novel COVID-19 virus all over the world has caused major economical and social damages combined with the death of more than two million people so far around the globe. Therefore, the design of a model ...

    • A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact 

      Chamola, Vinay; Hassija, Vikas; Gupta, Vatsal; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      The unprecedented outbreak of the 2019 novel coronavirus, termed as COVID-19 by the World Health Organization (WHO), has placed numerous governments around the world in a precarious position. The impact of the COVID-19 ...

    • Development of Digitalization Road Map for Healthcare Facility Management 

      Maki, Omar; Alshaikhli, Mays; Gunduz, Murat; Naji, Khalid Kamal; Abdulwahed, Mahmoud ( IEEE , 2022 , Article)
      Effective Healthcare Facility Management (HFM) remain a crucial concern for high quality built healthcare sectors, both in the public and private areas. The anticipated resource efficiencies, complex systems, and maintenance ...

    • Efficient Pandemic Infection Detection Using Wearable Sensors and Machine Learning 

      Abdel-Ghani, Ayah; Abughazzah, Zaineh; Akhund, Mahnoor; Abualsaud, Khalid; Yaacoub, Elias ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference Paper)
      More than three years into the coronavirus disease 2019 (COVID-19) pandemic, it can be noted that the measures put in place for societies to manage the spread of this disease could have been better. For example, contact ...

    • Mortality prediction utilizing blood biomarkers to predict the severity of COVID-19 using machine learning technique 

      Rahman T.; Al-Ishaq F.A.; Al-Mohannadi F.S.; Mubarak R.S.; Al-Hitmi M.H.; ... more authors ( MDPI , 2021 , Article)
      Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity will assist in the allocation and ...

    • A novel pandemic tracking map: From theory to implementation 

      Gouissem, Ala; Abualsaud, Khalid; Yaacoub, Elias; Khattab, Tamer; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      The wide spread of the novel COVID-19 virus all over the world has caused major economical and social damages combined with the death of more than two million people so far around the globe. Therefore, the design of a model ...