Open AccessOpen Access


Systematic Survey on Big Data Analytics and Artificial Intelligence for COVID-19 Containment

Saeed M. Alshahrani1, Jameel Almalki2, Waleed Alshehri2, Rashid Mehmood3, Marwan Albahar2, Najlaa Jannah2, Nayyar Ahmed Khan1,*

1 Department of Computer Science, College Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia
2 Department of Computer Science, College of Computer in Al-Lith, Umm Al-Qura University, Makkah, Saudi Arabia
3 High-Performance Computing Center, King Abdulaziz University, Jeddah, Saudi Arabia

* Corresponding Author: Nayyar Ahmed Khan. Email:

Computer Systems Science and Engineering 2023, 47(2), 1793-1817.


Artificial Intelligence (AI) has gained popularity for the containment of COVID-19 pandemic applications. Several AI techniques provide efficient mechanisms for handling pandemic situations. AI methods, protocols, data sets, and various validation mechanisms empower the users towards proper decision-making and procedures to handle the situation. Despite so many tools, there still exist conditions in which AI must go a long way. To increase the adaptability and potential of these techniques, a combination of AI and Bigdata is currently gaining popularity. This paper surveys and analyzes the methods within the various computational paradigms used by different researchers and national governments, such as China and South Korea, to fight against this pandemic. The process of vaccine development requires multiple medical experiments. This process requires analyzing datasets from different parts of the world. Deep learning and the Internet of Things (IoT) revolutionized the field of disease diagnosis and disease prediction. The accurate observations from different datasets across the world empowered the process of drug development and drug repurposing. To overcome the issues generated by the pandemic, using such sophisticated computing paradigms such as AI, Machine Learning (ML), deep learning, Robotics and Bigdata is essential.


Cite This Article

S. M. Alshahrani, J. Almalki, W. Alshehri, R. Mehmood, M. Albahar et al., "Systematic survey on big data analytics and artificial intelligence for covid-19 containment," Computer Systems Science and Engineering, vol. 47, no.2, pp. 1793–1817, 2023.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 180


  • 101


  • 0


Share Link