Towards Managing Covid-19 Using Artificial Intelligence and Big Data Analytics

Aziz A. A., Madi E. N., Pa N. N. N. N., Makhtar M.

International Conference on Business and Technology (ICBT), İstanbul, Turkey, 6 - 07 November 2021, vol.485, pp.147-164 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 485
  • Doi Number: 10.1007/978-3-031-08093-7_10
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.147-164
  • Keywords: COVID-9, Artificial intelligence, Big Data Analytics, Machine learning
  • Middle East Technical University Affiliated: No


Coronavirus Diseases (COVID-19) is an infectious disease caused by a newly discovered coronavirus that becomes world pandemic with 200 countries recorded affected, and nearly 1 million people died. Starting from Wuhan in December 2019, within three months, the spread across global with high reproduction rates (R Rates). There is evidence in one case, it spread to more than 100 people and creates his pandemic cluster. As the pandemic contributes to a large volume of data, Artificial Intelligence (AI) and Big Data Analytics (BDA) play a huge role in understanding the pan-demic to help necessary action can be deployed. Researchers and developers are increasingly using artificial intelligence, machine learning, and natural language processing to track and contain coronavirus and gain amore comprehensive understanding of the disease. So far, due to new diseases, there is a limited study to cover how AI and BDA will help in fighting COVID-19. Therefore, we provide a comprehensive analysis of the existing and potential of using AI and BDA to manage the COVID-19 outbreak based onCOVID-19 Outbreak Life Cycle phases; detection, spread, management, recovery. We also presented the challenges needed to be overcome for BI in BDA in the fighting. To conclude, these findings show the necessity of AI and BDA as a critical tool to understand COVID-19 and there a lot of ongoing intensive works have been carried out to cope with COVID-19.