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Data Science Driven Analysis of the Impact of COVID-19

Author

Listed:
  • Serban Gabriel TIMOFTE
  • Ioana Ruxandra STROE
  • Daniel TASCU
  • Raluca Cristina TERTES
  • Radu Ioan MOGOS

    (The Bucharest University of Economic Studies, Romania)

Abstract

In the context of a pandemic that emerged with lightning speed, data science has become a cornerstone for governments decision-making processes. By analyzing numerous centralized databases, researchers have been able to identify trends, the spread of the virus, and run artificial intelligence (AI) simulations to anticipate crucial points of the COVID-19 pandemic. Data warehouses created during this period offer real-time monitoring of the global effects of the virus. The health databases are already common in national systems, but their usefulness rises above storing medical histories. The cross-disciplinary nature of the COVID-19 pandemic accentuates the need for collaboration between doctors, medical specialists and data analysts, data engineers, and Artificial Intelligence engineers. This article provides a comprehensive overview of how databases and data warehouses can offer different scenarios for citizens and health specialists alike.

Suggested Citation

  • Serban Gabriel TIMOFTE & Ioana Ruxandra STROE & Daniel TASCU & Raluca Cristina TERTES & Radu Ioan MOGOS, 2023. "Data Science Driven Analysis of the Impact of COVID-19," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 14(1), pages 31-45.
  • Handle: RePEc:aes:dbjour:v:14:y:2023:i:1:p:31-45
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